IS415 Take Home Exe04
Lu Zhimao
5/26/2020
1. Aspatial/Geospatial Data Wrangling
1.2 Installing all the relevant packages
Install all the necessary R packages into R and launch thee R packages into R environment.
packages = c('olsrr', 'corrplot', 'ggpubr', 'sf', 'spdep', 'GWmodel', 'tmap', 'tidyverse','geobr','RColorBrewer','fastDummies','patchwork','GISTools')
for (p in packages){
if(!require(p, character.only = T)){
install.packages(p)
}
library(p,character.only = T)
}2. Geospatial Data Wrangling
2.1 Bringing geospatial data into R environment
Import Brazil municipality boundary data set from year 2016 and named it as mun. This data set is not imported from the local data folder. The municipality boundary is extract from online package called geobr.
Based on the detials of mun data set, we can see that it is in simple feature format and the coordinates of the data set is in degree format with epsg 4674.
mun <- read_municipality(year = 2016)##
|
| | 0%
|
|=== | 4%
|
|===== | 7%
|
|======== | 11%
|
|========== | 15%
|
|============= | 19%
|
|================ | 22%
|
|================== | 26%
|
|===================== | 30%
|
|======================= | 33%
|
|========================== | 37%
|
|============================= | 41%
|
|=============================== | 44%
|
|================================== | 48%
|
|==================================== | 52%
|
|======================================= | 56%
|
|========================================= | 59%
|
|============================================ | 63%
|
|=============================================== | 67%
|
|================================================= | 70%
|
|==================================================== | 74%
|
|====================================================== | 78%
|
|========================================================= | 81%
|
|============================================================ | 85%
|
|============================================================== | 89%
|
|================================================================= | 93%
|
|=================================================================== | 96%
|
|======================================================================| 100%mun## Simple feature collection with 5572 features and 4 fields
## geometry type: GEOMETRY
## dimension: XY
## bbox: xmin: -73.99045 ymin: -33.75118 xmax: -28.83594 ymax: 5.271841
## epsg (SRID): 4674
## proj4string: +proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defs
## First 10 features:
## code_muni name_muni code_state abbrev_state
## 1 1100015 Alta Floresta D'oeste 11 RO
## 2 1100023 Ariquemes 11 RO
## 3 1100031 Cabixi 11 RO
## 4 1100049 Cacoal 11 RO
## 5 1100056 Cerejeiras 11 RO
## 6 1100064 Colorado Do Oeste 11 RO
## 7 1100072 Corumbiara 11 RO
## 8 1100080 Costa Marques 11 RO
## 9 1100098 Espigão D'oeste 11 RO
## 10 1100106 Guajará-Mirim 11 RO
## geom
## 1 POLYGON ((-62.19465 -11.827...
## 2 POLYGON ((-62.53648 -9.7322...
## 3 POLYGON ((-60.37075 -13.363...
## 4 POLYGON ((-61.0008 -11.2973...
## 5 POLYGON ((-61.49976 -13.005...
## 6 POLYGON ((-60.50475 -12.966...
## 7 POLYGON ((-61.34273 -12.666...
## 8 POLYGON ((-63.71199 -11.650...
## 9 POLYGON ((-60.94827 -10.988...
## 10 POLYGON ((-65.37724 -10.431...To use a class() to confirm the mun dat set is in simple feature format.
class(mun)## [1] "sf" "data.frame"2.2 Updating CRS information
However, we need to transform the EPSG:29101 by using st_transform() function. Based on the information provided in the link, we can see that the unit of EPSG:29101 is in metre.
By running the detial of mun, we can see that it chnages its bbox, epsg and proj4string information.
mun <- st_transform(mun,crs=29101)
mun## Simple feature collection with 5572 features and 4 fields
## geometry type: GEOMETRY
## dimension: XY
## bbox: xmin: 2794590 ymin: 6263816 xmax: 7615330 ymax: 10586410
## epsg (SRID): 29101
## proj4string: +proj=poly +lat_0=0 +lon_0=-54 +x_0=5000000 +y_0=10000000 +ellps=aust_SA +towgs84=-66.87,4.37,-38.52,0,0,0,0 +units=m +no_defs
## First 10 features:
## code_muni name_muni code_state abbrev_state
## 1 1100015 Alta Floresta D'oeste 11 RO
## 2 1100023 Ariquemes 11 RO
## 3 1100031 Cabixi 11 RO
## 4 1100049 Cacoal 11 RO
## 5 1100056 Cerejeiras 11 RO
## 6 1100064 Colorado Do Oeste 11 RO
## 7 1100072 Corumbiara 11 RO
## 8 1100080 Costa Marques 11 RO
## 9 1100098 Espigão D'oeste 11 RO
## 10 1100106 Guajará-Mirim 11 RO
## geom
## 1 POLYGON ((4107198 8678957, ...
## 2 POLYGON ((4063462 8912011, ...
## 3 POLYGON ((4310019 8513235, ...
## 4 POLYGON ((4235803 8741535, ...
## 5 POLYGON ((4186577 8549769, ...
## 6 POLYGON ((4294369 8557024, ...
## 7 POLYGON ((4202533 8588007, ...
## 8 POLYGON ((3941253 8693538, ...
## 9 POLYGON ((4240731 8776065, ...
## 10 POLYGON ((3754607 8824106, ...In order to have a quick idea of how does the Brazil municipality boundary looks like, we can perform a qtm() function to see the layout of Brazil municipality boundary.
qtm(mun)
3. Aspatial Data Wrangling
3.1 Importing Aspatial data
Now we going to import second set of data, this data set is provided in CSV file. As we know that the language of brazil using is in Portuguess. In the Portuguess letter, there are many special character that R markdown cannot can read it in default. However, we can adding an extra code encoding = “latin1” within the read.csv() function in order to read special characters.
br_data <- read.csv("data1/aspatial/BRAZIL_CITIES.csv",encoding="latin1")Performing a summary() function, to view the detail of summary.
summary(br_data)## CITY STATE CAPITAL IBGE_RES_POP
## Bom Jesus : 5 MG : 853 Min. :0.000000 Min. : 805
## São Domingos: 5 SP : 645 1st Qu.:0.000000 1st Qu.: 5235
## Bonito : 4 RS : 498 Median :0.000000 Median : 10934
## Planalto : 4 BA : 418 Mean :0.004845 Mean : 34278
## Santa Helena: 4 PR : 399 3rd Qu.:0.000000 3rd Qu.: 23424
## Santa Inês : 4 SC : 295 Max. :1.000000 Max. :11253503
## (Other) :5547 (Other):2465 NA's :8
## IBGE_RES_POP_BRAS IBGE_RES_POP_ESTR IBGE_DU IBGE_DU_URBAN
## Min. : 805 Min. : 0.0 Min. : 239 Min. : 60
## 1st Qu.: 5230 1st Qu.: 0.0 1st Qu.: 1572 1st Qu.: 874
## Median : 10926 Median : 0.0 Median : 3174 Median : 1846
## Mean : 34200 Mean : 77.5 Mean : 10303 Mean : 8859
## 3rd Qu.: 23390 3rd Qu.: 10.0 3rd Qu.: 6726 3rd Qu.: 4624
## Max. :11133776 Max. :119727.0 Max. :3576148 Max. :3548433
## NA's :8 NA's :8 NA's :10 NA's :10
## IBGE_DU_RURAL IBGE_POP IBGE_1 IBGE_1.4
## Min. : 3 Min. : 174 Min. : 0.0 Min. : 5
## 1st Qu.: 487 1st Qu.: 2801 1st Qu.: 38.0 1st Qu.: 158
## Median : 931 Median : 6170 Median : 92.0 Median : 376
## Mean : 1463 Mean : 27595 Mean : 383.3 Mean : 1544
## 3rd Qu.: 1832 3rd Qu.: 15302 3rd Qu.: 232.0 3rd Qu.: 951
## Max. :33809 Max. :10463636 Max. :129464.0 Max. :514794
## NA's :81 NA's :8 NA's :8 NA's :8
## IBGE_5.9 IBGE_10.14 IBGE_15.59 IBGE_60.
## Min. : 7 Min. : 12 Min. : 94 Min. : 29
## 1st Qu.: 220 1st Qu.: 259 1st Qu.: 1734 1st Qu.: 341
## Median : 516 Median : 588 Median : 3841 Median : 722
## Mean : 2069 Mean : 2381 Mean : 18212 Mean : 3004
## 3rd Qu.: 1300 3rd Qu.: 1478 3rd Qu.: 9628 3rd Qu.: 1724
## Max. :684443 Max. :783702 Max. :7058221 Max. :1293012
## NA's :8 NA's :8 NA's :8 NA's :8
## IBGE_PLANTED_AREA IBGE_CROP_PRODUCTION_. IDHM.Ranking.2010 IDHM
## Min. : 0.0 Min. : 0 Min. : 1 Min. :0.4180
## 1st Qu.: 910.2 1st Qu.: 2326 1st Qu.:1392 1st Qu.:0.5990
## Median : 3471.5 Median : 13846 Median :2783 Median :0.6650
## Mean : 14179.9 Mean : 57384 Mean :2783 Mean :0.6592
## 3rd Qu.: 11194.2 3rd Qu.: 55619 3rd Qu.:4174 3rd Qu.:0.7180
## Max. :1205669.0 Max. :3274885 Max. :5565 Max. :0.8620
## NA's :3 NA's :3 NA's :8 NA's :8
## IDHM_Renda IDHM_Longevidade IDHM_Educacao LONG
## Min. :0.4000 Min. :0.6720 Min. :0.2070 Min. :-72.92
## 1st Qu.:0.5720 1st Qu.:0.7690 1st Qu.:0.4900 1st Qu.:-50.87
## Median :0.6540 Median :0.8080 Median :0.5600 Median :-46.52
## Mean :0.6429 Mean :0.8016 Mean :0.5591 Mean :-46.23
## 3rd Qu.:0.7070 3rd Qu.:0.8360 3rd Qu.:0.6310 3rd Qu.:-41.41
## Max. :0.8910 Max. :0.8940 Max. :0.8250 Max. :-32.44
## NA's :8 NA's :8 NA's :8
## LAT ALT PAY_TV FIXED_PHONES
## Min. :-33.688 Min. : 0.0 Min. : 1 Min. : 3
## 1st Qu.:-22.843 1st Qu.: 169.8 1st Qu.: 88 1st Qu.: 119
## Median :-18.091 Median : 406.5 Median : 247 Median : 327
## Mean :-16.451 Mean : 893.8 Mean : 3094 Mean : 6567
## 3rd Qu.: -8.490 3rd Qu.: 628.9 3rd Qu.: 815 3rd Qu.: 1151
## Max. : 4.585 Max. :874579.0 Max. :2047668 Max. :5543127
## NA's :9 NA's :3 NA's :3
## AREA REGIAO_TUR CATEGORIA_TUR
## Min. : 3.57 :2288 :2288
## 1st Qu.: 204.44 Corredores Das Águas: 59 A: 51
## Median : 416.59 Vale Do Contestado : 45 B: 168
## Mean : 1517.44 Amazônia Atlântica : 40 C: 521
## 3rd Qu.: 1026.57 Araguaia-Tocantins : 39 D:1892
## Max. :159533.33 Cariri : 37 E: 653
## NA's :3 (Other) :3065
## ESTIMATED_POP RURAL_URBAN GVA_AGROPEC
## Min. : 786 : 3 Min. : 0
## 1st Qu.: 5454 Intermediário Adjacente: 686 1st Qu.: 4189
## Median : 11590 Intermediário Remoto : 60 Median : 20426
## Mean : 37432 Rural Adjacente :3040 Mean : 47271
## 3rd Qu.: 25296 Rural Remoto : 323 3rd Qu.: 51227
## Max. :12176866 Sem classificação : 5 Max. :1402282
## NA's :3 Urbano :1456 NA's :3
## GVA_INDUSTRY GVA_SERVICES GVA_PUBLIC GVA_TOTAL
## Min. : 1 Min. : 2 Min. : 7 Min. : 17
## 1st Qu.: 1726 1st Qu.: 10112 1st Qu.: 17267 1st Qu.: 42253
## Median : 7424 Median : 31211 Median : 35866 Median : 119492
## Mean : 175928 Mean : 489451 Mean : 123768 Mean : 832987
## 3rd Qu.: 41022 3rd Qu.: 115406 3rd Qu.: 89245 3rd Qu.: 313963
## Max. :63306755 Max. :464656988 Max. :41902893 Max. :569910503
## NA's :3 NA's :3 NA's :3 NA's :3
## TAXES GDP POP_GDP GDP_CAPITA
## Min. : -14159 Min. : 15 Min. : 815 Min. : 3191
## 1st Qu.: 1305 1st Qu.: 43709 1st Qu.: 5483 1st Qu.: 9058
## Median : 5100 Median : 125153 Median : 11578 Median : 15870
## Mean : 118864 Mean : 954584 Mean : 36998 Mean : 21126
## 3rd Qu.: 22197 3rd Qu.: 329539 3rd Qu.: 25085 3rd Qu.: 26155
## Max. :117125387 Max. :687035890 Max. :12038175 Max. :314638
## NA's :3 NA's :3 NA's :3 NA's :3
## GVA_MAIN
## Administração, defesa, educação e saúde públicas e seguridade social :2725
## Demais serviços :1477
## Agricultura, inclusive apoio à agricultura e a pós colheita : 735
## Indústrias de transformação : 261
## Pecuária, inclusive apoio à pecuária : 161
## Eletricidade e gás, água, esgoto, atividades de gestão de resíduos e descontaminação: 98
## (Other) : 116
## MUN_EXPENDIT COMP_TOT COMP_A COMP_B
## Min. :1.421e+06 Min. : 6.0 Min. : 0.00 Min. : 0.000
## 1st Qu.:1.573e+07 1st Qu.: 68.0 1st Qu.: 1.00 1st Qu.: 0.000
## Median :2.746e+07 Median : 162.0 Median : 2.00 Median : 0.000
## Mean :1.043e+08 Mean : 906.8 Mean : 18.25 Mean : 1.852
## 3rd Qu.:5.666e+07 3rd Qu.: 448.0 3rd Qu.: 8.00 3rd Qu.: 2.000
## Max. :4.577e+10 Max. :530446.0 Max. :1948.00 Max. :274.000
## NA's :1492 NA's :3 NA's :3 NA's :3
## COMP_C COMP_D COMP_E COMP_F
## Min. : 0.00 Min. : 0.0000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 3.00 1st Qu.: 0.0000 1st Qu.: 0.000 1st Qu.: 1.00
## Median : 11.00 Median : 0.0000 Median : 0.000 Median : 4.00
## Mean : 73.44 Mean : 0.4262 Mean : 2.029 Mean : 43.26
## 3rd Qu.: 39.00 3rd Qu.: 0.0000 3rd Qu.: 1.000 3rd Qu.: 15.00
## Max. :31566.00 Max. :332.0000 Max. :657.000 Max. :25222.00
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_G COMP_H COMP_I COMP_J
## Min. : 1.0 Min. : 0 Min. : 0.00 Min. : 0.00
## 1st Qu.: 32.0 1st Qu.: 1 1st Qu.: 2.00 1st Qu.: 0.00
## Median : 74.5 Median : 7 Median : 7.00 Median : 1.00
## Mean : 348.0 Mean : 41 Mean : 55.88 Mean : 24.74
## 3rd Qu.: 199.0 3rd Qu.: 25 3rd Qu.: 24.00 3rd Qu.: 5.00
## Max. :150633.0 Max. :19515 Max. :29290.00 Max. :38720.00
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_K COMP_L COMP_M COMP_N
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.0
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 1.00 1st Qu.: 1.0
## Median : 0.00 Median : 0.00 Median : 4.00 Median : 4.0
## Mean : 15.55 Mean : 15.14 Mean : 51.29 Mean : 83.7
## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 13.00 3rd Qu.: 14.0
## Max. :23738.00 Max. :14003.00 Max. :49181.00 Max. :76757.0
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_O COMP_P COMP_Q COMP_R
## Min. : 0.000 Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 2.000 1st Qu.: 2.00 1st Qu.: 1.00 1st Qu.: 0.00
## Median : 2.000 Median : 6.00 Median : 3.00 Median : 2.00
## Mean : 3.269 Mean : 30.96 Mean : 34.15 Mean : 12.18
## 3rd Qu.: 3.000 3rd Qu.: 17.00 3rd Qu.: 12.00 3rd Qu.: 6.00
## Max. :204.000 Max. :16030.00 Max. :22248.00 Max. :6687.00
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_S COMP_T COMP_U HOTELS
## Min. : 0.00 Min. :0 Min. : 0.00000 Min. : 1.000
## 1st Qu.: 5.00 1st Qu.:0 1st Qu.: 0.00000 1st Qu.: 1.000
## Median : 12.00 Median :0 Median : 0.00000 Median : 1.000
## Mean : 51.61 Mean :0 Mean : 0.05027 Mean : 3.131
## 3rd Qu.: 31.00 3rd Qu.:0 3rd Qu.: 0.00000 3rd Qu.: 3.000
## Max. :24832.00 Max. :0 Max. :123.00000 Max. :97.000
## NA's :3 NA's :3 NA's :3 NA's :4686
## BEDS Pr_Agencies Pu_Agencies Pr_Bank
## Min. : 2.0 Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 40.0 1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.: 0.000
## Median : 82.0 Median : 1.000 Median : 2.000 Median : 1.000
## Mean : 257.5 Mean : 3.383 Mean : 2.829 Mean : 1.312
## 3rd Qu.: 200.0 3rd Qu.: 2.000 3rd Qu.: 2.000 3rd Qu.: 2.000
## Max. :13247.0 Max. :1693.000 Max. :626.000 Max. :83.000
## NA's :4686 NA's :2231 NA's :2231 NA's :2231
## Pu_Bank Pr_Assets Pu_Assets Cars
## Min. :0.00 Min. :0.000e+00 Min. :0.000e+00 Min. : 2
## 1st Qu.:1.00 1st Qu.:0.000e+00 1st Qu.:4.047e+07 1st Qu.: 602
## Median :2.00 Median :3.231e+07 Median :1.339e+08 Median : 1438
## Mean :1.58 Mean :9.187e+09 Mean :6.005e+09 Mean : 9859
## 3rd Qu.:2.00 3rd Qu.:1.148e+08 3rd Qu.:4.970e+08 3rd Qu.: 4086
## Max. :8.00 Max. :1.950e+13 Max. :8.020e+12 Max. :5740995
## NA's :2231 NA's :2231 NA's :2231 NA's :11
## Motorcycles Wheeled_tractor UBER MAC
## Min. : 4 Min. : 0.000 Min. :1 Min. : 1.000
## 1st Qu.: 591 1st Qu.: 0.000 1st Qu.:1 1st Qu.: 1.000
## Median : 1285 Median : 0.000 Median :1 Median : 2.000
## Mean : 4879 Mean : 5.754 Mean :1 Mean : 4.277
## 3rd Qu.: 3294 3rd Qu.: 1.000 3rd Qu.:1 3rd Qu.: 3.000
## Max. :1134570 Max. :3236.000 Max. :1 Max. :130.000
## NA's :11 NA's :11 NA's :5448 NA's :5407
## WAL.MART POST_OFFICES
## Min. : 1.000 Min. : 1.000
## 1st Qu.: 1.000 1st Qu.: 1.000
## Median : 1.000 Median : 1.000
## Mean : 2.059 Mean : 2.081
## 3rd Qu.: 1.750 3rd Qu.: 2.000
## Max. :26.000 Max. :225.000
## NA's :5471 NA's :120Based on the summary results, we can see that there are “LOMG” and “LAT” columns separately. In order to get the coordinates of each Brazil municipality, we need to use st_as_sf() function to combine both columns into a geometry column with a crs 4674.
As we mentioned in the abovce code chunk, we need to convert it into XY coordinates by using st_transform(crs = 29101) function instead of leave it in degree minutes seconds.
3.2 Updating CRS information
Currently br_data.sf is in Simple feature format.
br_data.sf <- st_as_sf(br_data,coords = c("LONG", "LAT"),crs=4674) %>%
st_transform(crs=29101)
head(br_data.sf)## Simple feature collection with 6 features and 79 fields
## geometry type: POINT
## dimension: XY
## bbox: xmin: 5486142 ymin: 7859088 xmax: 6650626 ymax: 9808703
## epsg (SRID): 29101
## proj4string: +proj=poly +lat_0=0 +lon_0=-54 +x_0=5000000 +y_0=10000000 +ellps=aust_SA +towgs84=-66.87,4.37,-38.52,0,0,0,0 +units=m +no_defs
## CITY STATE CAPITAL IBGE_RES_POP IBGE_RES_POP_BRAS
## 1 Abadia De Goiás GO 0 6876 6876
## 2 Abadia Dos Dourados MG 0 6704 6704
## 3 Abadiânia GO 0 15757 15609
## 4 Abaeté MG 0 22690 22690
## 5 Abaetetuba PA 0 141100 141040
## 6 Abaiara CE 0 10496 10496
## IBGE_RES_POP_ESTR IBGE_DU IBGE_DU_URBAN IBGE_DU_RURAL IBGE_POP IBGE_1
## 1 0 2137 1546 591 5300 69
## 2 0 2328 1481 847 4154 38
## 3 148 4655 3233 1422 10656 139
## 4 0 7694 6667 1027 18464 176
## 5 60 31061 19057 12004 82956 1354
## 6 0 2791 1251 1540 4538 98
## IBGE_1.4 IBGE_5.9 IBGE_10.14 IBGE_15.59 IBGE_60. IBGE_PLANTED_AREA
## 1 318 438 517 3542 416 319
## 2 207 260 351 2709 589 4479
## 3 650 894 1087 6896 990 10307
## 4 856 1233 1539 11979 2681 1862
## 5 5567 7618 8905 53516 5996 25200
## 6 323 421 483 2631 582 2598
## IBGE_CROP_PRODUCTION_. IDHM.Ranking.2010 IDHM IDHM_Renda IDHM_Longevidade
## 1 1843 1689 0.708 0.687 0.830
## 2 18017 2207 0.690 0.693 0.839
## 3 33085 2202 0.690 0.671 0.841
## 4 7502 1994 0.698 0.720 0.848
## 5 700872 3530 0.628 0.579 0.798
## 6 5234 3522 0.628 0.540 0.748
## IDHM_Educacao ALT PAY_TV FIXED_PHONES AREA
## 1 0.622 893.60 360 842 147.26
## 2 0.563 753.12 77 296 881.06
## 3 0.579 1017.55 227 720 1045.13
## 4 0.556 644.74 1230 1716 1817.07
## 5 0.537 10.12 3389 1218 1610.65
## 6 0.612 403.11 29 34 180.08
## REGIAO_TUR CATEGORIA_TUR ESTIMATED_POP
## 1 8583
## 2 Caminhos Do Cerrado D 6972
## 3 Região Turística Do Ouro E Cristais C 19614
## 4 Lago De Três Marias D 23223
## 5 Araguaia-Tocantins D 156292
## 6 11663
## RURAL_URBAN GVA_AGROPEC GVA_INDUSTRY GVA_SERVICES GVA_PUBLIC GVA_TOTAL
## 1 Urbano 6.20 27991.25 74750.32 36915.04 145857.60
## 2 Rural Adjacente 50524.57 25917.70 62689.23 28083.79 167215.28
## 3 Rural Adjacente 42.84 16728.30 138198.58 63396.20 261161.91
## 4 Urbano 113824.60 31002.62 172.33 86081.41 403241.27
## 5 Urbano 140463.72 58610.00 468128.69 486872.40 1154074.81
## 6 Rural Adjacente 4435.16 5.88 22.81 35989.96 69108.67
## TAXES GDP POP_GDP GDP_CAPITA
## 1 20554.20 166.41 8053 20664.57
## 2 12873.50 180.09 7037 25591.70
## 3 26822.58 287984.49 18427 15628.40
## 4 26994.09 430235.36 23574 18250.42
## 5 95180.48 1249255.29 151934 8222.36
## 6 4042.79 73151.46 11483 6370.41
## GVA_MAIN
## 1 Demais serviços
## 2 Demais serviços
## 3 Demais serviços
## 4 Demais serviços
## 5 Administração, defesa, educação e saúde públicas e seguridade social
## 6 Administração, defesa, educação e saúde públicas e seguridade social
## MUN_EXPENDIT COMP_TOT COMP_A COMP_B COMP_C COMP_D COMP_E COMP_F COMP_G COMP_H
## 1 28227691 284 5 1 56 0 2 29 110 26
## 2 17909274 476 6 6 30 1 2 34 190 70
## 3 37513019 288 5 9 26 0 2 7 117 12
## 4 NA 621 18 1 40 0 1 20 303 62
## 5 NA 931 4 2 43 0 1 27 500 16
## 6 NA 86 1 0 4 0 0 6 48 2
## COMP_I COMP_J COMP_K COMP_L COMP_M COMP_N COMP_O COMP_P COMP_Q COMP_R COMP_S
## 1 4 5 0 2 10 12 4 6 6 1 5
## 2 28 11 0 4 15 29 2 9 14 6 19
## 3 57 2 1 0 7 15 3 11 5 1 8
## 4 30 9 6 4 28 27 2 15 19 9 27
## 5 31 6 1 1 22 16 2 155 33 15 56
## 6 10 2 0 0 2 3 2 0 2 0 4
## COMP_T COMP_U HOTELS BEDS Pr_Agencies Pu_Agencies Pr_Bank Pu_Bank Pr_Assets
## 1 0 0 NA NA NA NA NA NA NA
## 2 0 0 NA NA NA NA NA NA NA
## 3 0 0 1 34 1 1 1 1 33724584
## 4 0 0 NA NA 2 2 2 2 44974716
## 5 0 0 NA NA 2 4 2 4 76181384
## 6 0 0 NA NA NA NA NA NA NA
## Pu_Assets Cars Motorcycles Wheeled_tractor UBER MAC WAL.MART POST_OFFICES
## 1 NA 2158 1246 0 NA NA NA 1
## 2 NA 2227 1142 0 NA NA NA 1
## 3 67091904 2838 1426 0 NA NA NA 3
## 4 371922572 6928 2953 0 NA NA NA 4
## 5 800078483 5277 25661 0 NA NA NA 2
## 6 NA 553 1674 0 NA NA NA 1
## geometry
## 1 POINT (5486142 8140850)
## 2 POINT (5697257 7942355)
## 3 POINT (5564741 8202931)
## 4 POINT (5899496 7859088)
## 5 POINT (5569259 9808703)
## 6 POINT (6650626 9158924)Performing a summary function to chech the changes. As we can see that are missing value within the data. But at this stage we will not going to replace the NA value. As we can see from the both data sets with different number of rows. Which means there are different in number of Brazil municipality boundary. We will be only converting those NA value to ZERO at the later stage.
summary(br_data.sf)## CITY STATE CAPITAL IBGE_RES_POP
## Bom Jesus : 5 MG : 853 Min. :0.000000 Min. : 805
## São Domingos: 5 SP : 645 1st Qu.:0.000000 1st Qu.: 5235
## Bonito : 4 RS : 498 Median :0.000000 Median : 10934
## Planalto : 4 BA : 418 Mean :0.004845 Mean : 34278
## Santa Helena: 4 PR : 399 3rd Qu.:0.000000 3rd Qu.: 23424
## Santa Inês : 4 SC : 295 Max. :1.000000 Max. :11253503
## (Other) :5547 (Other):2465 NA's :8
## IBGE_RES_POP_BRAS IBGE_RES_POP_ESTR IBGE_DU IBGE_DU_URBAN
## Min. : 805 Min. : 0.0 Min. : 239 Min. : 60
## 1st Qu.: 5230 1st Qu.: 0.0 1st Qu.: 1572 1st Qu.: 874
## Median : 10926 Median : 0.0 Median : 3174 Median : 1846
## Mean : 34200 Mean : 77.5 Mean : 10303 Mean : 8859
## 3rd Qu.: 23390 3rd Qu.: 10.0 3rd Qu.: 6726 3rd Qu.: 4624
## Max. :11133776 Max. :119727.0 Max. :3576148 Max. :3548433
## NA's :8 NA's :8 NA's :10 NA's :10
## IBGE_DU_RURAL IBGE_POP IBGE_1 IBGE_1.4
## Min. : 3 Min. : 174 Min. : 0.0 Min. : 5
## 1st Qu.: 487 1st Qu.: 2801 1st Qu.: 38.0 1st Qu.: 158
## Median : 931 Median : 6170 Median : 92.0 Median : 376
## Mean : 1463 Mean : 27595 Mean : 383.3 Mean : 1544
## 3rd Qu.: 1832 3rd Qu.: 15302 3rd Qu.: 232.0 3rd Qu.: 951
## Max. :33809 Max. :10463636 Max. :129464.0 Max. :514794
## NA's :81 NA's :8 NA's :8 NA's :8
## IBGE_5.9 IBGE_10.14 IBGE_15.59 IBGE_60.
## Min. : 7 Min. : 12 Min. : 94 Min. : 29
## 1st Qu.: 220 1st Qu.: 259 1st Qu.: 1734 1st Qu.: 341
## Median : 516 Median : 588 Median : 3841 Median : 722
## Mean : 2069 Mean : 2381 Mean : 18212 Mean : 3004
## 3rd Qu.: 1300 3rd Qu.: 1478 3rd Qu.: 9628 3rd Qu.: 1724
## Max. :684443 Max. :783702 Max. :7058221 Max. :1293012
## NA's :8 NA's :8 NA's :8 NA's :8
## IBGE_PLANTED_AREA IBGE_CROP_PRODUCTION_. IDHM.Ranking.2010 IDHM
## Min. : 0.0 Min. : 0 Min. : 1 Min. :0.4180
## 1st Qu.: 910.2 1st Qu.: 2326 1st Qu.:1392 1st Qu.:0.5990
## Median : 3471.5 Median : 13846 Median :2783 Median :0.6650
## Mean : 14179.9 Mean : 57384 Mean :2783 Mean :0.6592
## 3rd Qu.: 11194.2 3rd Qu.: 55619 3rd Qu.:4174 3rd Qu.:0.7180
## Max. :1205669.0 Max. :3274885 Max. :5565 Max. :0.8620
## NA's :3 NA's :3 NA's :8 NA's :8
## IDHM_Renda IDHM_Longevidade IDHM_Educacao ALT
## Min. :0.4000 Min. :0.6720 Min. :0.2070 Min. : 0.0
## 1st Qu.:0.5720 1st Qu.:0.7690 1st Qu.:0.4900 1st Qu.: 169.8
## Median :0.6540 Median :0.8080 Median :0.5600 Median : 406.5
## Mean :0.6429 Mean :0.8016 Mean :0.5591 Mean : 893.8
## 3rd Qu.:0.7070 3rd Qu.:0.8360 3rd Qu.:0.6310 3rd Qu.: 628.9
## Max. :0.8910 Max. :0.8940 Max. :0.8250 Max. :874579.0
## NA's :8 NA's :8 NA's :8 NA's :9
## PAY_TV FIXED_PHONES AREA
## Min. : 1 Min. : 3 Min. : 3.57
## 1st Qu.: 88 1st Qu.: 119 1st Qu.: 204.44
## Median : 247 Median : 327 Median : 416.59
## Mean : 3094 Mean : 6567 Mean : 1517.44
## 3rd Qu.: 815 3rd Qu.: 1151 3rd Qu.: 1026.57
## Max. :2047668 Max. :5543127 Max. :159533.33
## NA's :3 NA's :3 NA's :3
## REGIAO_TUR CATEGORIA_TUR ESTIMATED_POP
## :2288 :2288 Min. : 786
## Corredores Das Águas: 59 A: 51 1st Qu.: 5454
## Vale Do Contestado : 45 B: 168 Median : 11590
## Amazônia Atlântica : 40 C: 521 Mean : 37432
## Araguaia-Tocantins : 39 D:1892 3rd Qu.: 25296
## Cariri : 37 E: 653 Max. :12176866
## (Other) :3065 NA's :3
## RURAL_URBAN GVA_AGROPEC GVA_INDUSTRY
## : 3 Min. : 0 Min. : 1
## Intermediário Adjacente: 686 1st Qu.: 4189 1st Qu.: 1726
## Intermediário Remoto : 60 Median : 20426 Median : 7424
## Rural Adjacente :3040 Mean : 47271 Mean : 175928
## Rural Remoto : 323 3rd Qu.: 51227 3rd Qu.: 41022
## Sem classificação : 5 Max. :1402282 Max. :63306755
## Urbano :1456 NA's :3 NA's :3
## GVA_SERVICES GVA_PUBLIC GVA_TOTAL TAXES
## Min. : 2 Min. : 7 Min. : 17 Min. : -14159
## 1st Qu.: 10112 1st Qu.: 17267 1st Qu.: 42253 1st Qu.: 1305
## Median : 31211 Median : 35866 Median : 119492 Median : 5100
## Mean : 489451 Mean : 123768 Mean : 832987 Mean : 118864
## 3rd Qu.: 115406 3rd Qu.: 89245 3rd Qu.: 313963 3rd Qu.: 22197
## Max. :464656988 Max. :41902893 Max. :569910503 Max. :117125387
## NA's :3 NA's :3 NA's :3 NA's :3
## GDP POP_GDP GDP_CAPITA
## Min. : 15 Min. : 815 Min. : 3191
## 1st Qu.: 43709 1st Qu.: 5483 1st Qu.: 9058
## Median : 125153 Median : 11578 Median : 15870
## Mean : 954584 Mean : 36998 Mean : 21126
## 3rd Qu.: 329539 3rd Qu.: 25085 3rd Qu.: 26155
## Max. :687035890 Max. :12038175 Max. :314638
## NA's :3 NA's :3 NA's :3
## GVA_MAIN
## Administração, defesa, educação e saúde públicas e seguridade social :2725
## Demais serviços :1477
## Agricultura, inclusive apoio à agricultura e a pós colheita : 735
## Indústrias de transformação : 261
## Pecuária, inclusive apoio à pecuária : 161
## Eletricidade e gás, água, esgoto, atividades de gestão de resíduos e descontaminação: 98
## (Other) : 116
## MUN_EXPENDIT COMP_TOT COMP_A COMP_B
## Min. :1.421e+06 Min. : 6.0 Min. : 0.00 Min. : 0.000
## 1st Qu.:1.573e+07 1st Qu.: 68.0 1st Qu.: 1.00 1st Qu.: 0.000
## Median :2.746e+07 Median : 162.0 Median : 2.00 Median : 0.000
## Mean :1.043e+08 Mean : 906.8 Mean : 18.25 Mean : 1.852
## 3rd Qu.:5.666e+07 3rd Qu.: 448.0 3rd Qu.: 8.00 3rd Qu.: 2.000
## Max. :4.577e+10 Max. :530446.0 Max. :1948.00 Max. :274.000
## NA's :1492 NA's :3 NA's :3 NA's :3
## COMP_C COMP_D COMP_E COMP_F
## Min. : 0.00 Min. : 0.0000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 3.00 1st Qu.: 0.0000 1st Qu.: 0.000 1st Qu.: 1.00
## Median : 11.00 Median : 0.0000 Median : 0.000 Median : 4.00
## Mean : 73.44 Mean : 0.4262 Mean : 2.029 Mean : 43.26
## 3rd Qu.: 39.00 3rd Qu.: 0.0000 3rd Qu.: 1.000 3rd Qu.: 15.00
## Max. :31566.00 Max. :332.0000 Max. :657.000 Max. :25222.00
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_G COMP_H COMP_I COMP_J
## Min. : 1.0 Min. : 0 Min. : 0.00 Min. : 0.00
## 1st Qu.: 32.0 1st Qu.: 1 1st Qu.: 2.00 1st Qu.: 0.00
## Median : 74.5 Median : 7 Median : 7.00 Median : 1.00
## Mean : 348.0 Mean : 41 Mean : 55.88 Mean : 24.74
## 3rd Qu.: 199.0 3rd Qu.: 25 3rd Qu.: 24.00 3rd Qu.: 5.00
## Max. :150633.0 Max. :19515 Max. :29290.00 Max. :38720.00
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_K COMP_L COMP_M COMP_N
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.0
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 1.00 1st Qu.: 1.0
## Median : 0.00 Median : 0.00 Median : 4.00 Median : 4.0
## Mean : 15.55 Mean : 15.14 Mean : 51.29 Mean : 83.7
## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 13.00 3rd Qu.: 14.0
## Max. :23738.00 Max. :14003.00 Max. :49181.00 Max. :76757.0
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_O COMP_P COMP_Q COMP_R
## Min. : 0.000 Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 2.000 1st Qu.: 2.00 1st Qu.: 1.00 1st Qu.: 0.00
## Median : 2.000 Median : 6.00 Median : 3.00 Median : 2.00
## Mean : 3.269 Mean : 30.96 Mean : 34.15 Mean : 12.18
## 3rd Qu.: 3.000 3rd Qu.: 17.00 3rd Qu.: 12.00 3rd Qu.: 6.00
## Max. :204.000 Max. :16030.00 Max. :22248.00 Max. :6687.00
## NA's :3 NA's :3 NA's :3 NA's :3
## COMP_S COMP_T COMP_U HOTELS
## Min. : 0.00 Min. :0 Min. : 0.00000 Min. : 1.000
## 1st Qu.: 5.00 1st Qu.:0 1st Qu.: 0.00000 1st Qu.: 1.000
## Median : 12.00 Median :0 Median : 0.00000 Median : 1.000
## Mean : 51.61 Mean :0 Mean : 0.05027 Mean : 3.131
## 3rd Qu.: 31.00 3rd Qu.:0 3rd Qu.: 0.00000 3rd Qu.: 3.000
## Max. :24832.00 Max. :0 Max. :123.00000 Max. :97.000
## NA's :3 NA's :3 NA's :3 NA's :4686
## BEDS Pr_Agencies Pu_Agencies Pr_Bank
## Min. : 2.0 Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 40.0 1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.: 0.000
## Median : 82.0 Median : 1.000 Median : 2.000 Median : 1.000
## Mean : 257.5 Mean : 3.383 Mean : 2.829 Mean : 1.312
## 3rd Qu.: 200.0 3rd Qu.: 2.000 3rd Qu.: 2.000 3rd Qu.: 2.000
## Max. :13247.0 Max. :1693.000 Max. :626.000 Max. :83.000
## NA's :4686 NA's :2231 NA's :2231 NA's :2231
## Pu_Bank Pr_Assets Pu_Assets Cars
## Min. :0.00 Min. :0.000e+00 Min. :0.000e+00 Min. : 2
## 1st Qu.:1.00 1st Qu.:0.000e+00 1st Qu.:4.047e+07 1st Qu.: 602
## Median :2.00 Median :3.231e+07 Median :1.339e+08 Median : 1438
## Mean :1.58 Mean :9.187e+09 Mean :6.005e+09 Mean : 9859
## 3rd Qu.:2.00 3rd Qu.:1.148e+08 3rd Qu.:4.970e+08 3rd Qu.: 4086
## Max. :8.00 Max. :1.950e+13 Max. :8.020e+12 Max. :5740995
## NA's :2231 NA's :2231 NA's :2231 NA's :11
## Motorcycles Wheeled_tractor UBER MAC
## Min. : 4 Min. : 0.000 Min. :1 Min. : 1.000
## 1st Qu.: 591 1st Qu.: 0.000 1st Qu.:1 1st Qu.: 1.000
## Median : 1285 Median : 0.000 Median :1 Median : 2.000
## Mean : 4879 Mean : 5.754 Mean :1 Mean : 4.277
## 3rd Qu.: 3294 3rd Qu.: 1.000 3rd Qu.:1 3rd Qu.: 3.000
## Max. :1134570 Max. :3236.000 Max. :1 Max. :130.000
## NA's :11 NA's :11 NA's :5448 NA's :5407
## WAL.MART POST_OFFICES geometry
## Min. : 1.000 Min. : 1.000 POINT :5573
## 1st Qu.: 1.000 1st Qu.: 1.000 epsg:29101 : 0
## Median : 1.000 Median : 1.000 +proj=poly...: 0
## Mean : 2.059 Mean : 2.081
## 3rd Qu.: 1.750 3rd Qu.: 2.000
## Max. :26.000 Max. :225.000
## NA's :5471 NA's :120We also can use glismps() function to view the variable name of each columns.
glimpse(br_data.sf)## Observations: 5,573
## Variables: 80
## $ CITY <fct> Abadia De Goiás, Abadia Dos Dourados, Abadiâ...
## $ STATE <fct> GO, MG, GO, MG, PA, CE, BA, BA, PR, SC, PA, ...
## $ CAPITAL <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
## $ IBGE_RES_POP <int> 6876, 6704, 15757, 22690, 141100, 10496, 831...
## $ IBGE_RES_POP_BRAS <int> 6876, 6704, 15609, 22690, 141040, 10496, 831...
## $ IBGE_RES_POP_ESTR <int> 0, 0, 148, 0, 60, 0, 0, 0, 0, 0, 0, 16, 17, ...
## $ IBGE_DU <int> 2137, 2328, 4655, 7694, 31061, 2791, 2572, 4...
## $ IBGE_DU_URBAN <int> 1546, 1481, 3233, 6667, 19057, 1251, 1193, 2...
## $ IBGE_DU_RURAL <int> 591, 847, 1422, 1027, 12004, 1540, 1379, 195...
## $ IBGE_POP <int> 5300, 4154, 10656, 18464, 82956, 4538, 3725,...
## $ IBGE_1 <int> 69, 38, 139, 176, 1354, 98, 37, 167, 69, 12,...
## $ IBGE_1.4 <int> 318, 207, 650, 856, 5567, 323, 156, 733, 302...
## $ IBGE_5.9 <int> 438, 260, 894, 1233, 7618, 421, 263, 978, 37...
## $ IBGE_10.14 <int> 517, 351, 1087, 1539, 8905, 483, 277, 927, 4...
## $ IBGE_15.59 <int> 3542, 2709, 6896, 11979, 53516, 2631, 2319, ...
## $ IBGE_60. <int> 416, 589, 990, 2681, 5996, 582, 673, 803, 81...
## $ IBGE_PLANTED_AREA <int> 319, 4479, 10307, 1862, 25200, 2598, 895, 20...
## $ IBGE_CROP_PRODUCTION_. <int> 1843, 18017, 33085, 7502, 700872, 5234, 3999...
## $ IDHM.Ranking.2010 <int> 1689, 2207, 2202, 1994, 3530, 3522, 4086, 47...
## $ IDHM <dbl> 0.708, 0.690, 0.690, 0.698, 0.628, 0.628, 0....
## $ IDHM_Renda <dbl> 0.687, 0.693, 0.671, 0.720, 0.579, 0.540, 0....
## $ IDHM_Longevidade <dbl> 0.830, 0.839, 0.841, 0.848, 0.798, 0.748, 0....
## $ IDHM_Educacao <dbl> 0.622, 0.563, 0.579, 0.556, 0.537, 0.612, 0....
## $ ALT <dbl> 893.60, 753.12, 1017.55, 644.74, 10.12, 403....
## $ PAY_TV <int> 360, 77, 227, 1230, 3389, 29, 952, 51, 55, 1...
## $ FIXED_PHONES <int> 842, 296, 720, 1716, 1218, 34, 335, 222, 392...
## $ AREA <dbl> 147.26, 881.06, 1045.13, 1817.07, 1610.65, 1...
## $ REGIAO_TUR <fct> , Caminhos Do Cerrado, Região Turística Do O...
## $ CATEGORIA_TUR <fct> , D, C, D, D, , D, , , D, E, D, D, D, , E, ,...
## $ ESTIMATED_POP <int> 8583, 6972, 19614, 23223, 156292, 11663, 876...
## $ RURAL_URBAN <fct> Urbano, Rural Adjacente, Rural Adjacente, Ur...
## $ GVA_AGROPEC <dbl> 6.20, 50524.57, 42.84, 113824.60, 140463.72,...
## $ GVA_INDUSTRY <dbl> 27991.25, 25917.70, 16728.30, 31002.62, 5861...
## $ GVA_SERVICES <dbl> 74750.32, 62689.23, 138198.58, 172.33, 46812...
## $ GVA_PUBLIC <dbl> 36915.04, 28083.79, 63396.20, 86081.41, 4868...
## $ GVA_TOTAL <dbl> 145857.60, 167215.28, 261161.91, 403241.27, ...
## $ TAXES <dbl> 20554.20, 12873.50, 26822.58, 26994.09, 9518...
## $ GDP <dbl> 166.41, 180.09, 287984.49, 430235.36, 124925...
## $ POP_GDP <int> 8053, 7037, 18427, 23574, 151934, 11483, 921...
## $ GDP_CAPITA <dbl> 20664.57, 25591.70, 15628.40, 18250.42, 8222...
## $ GVA_MAIN <fct> "Demais serviços", "Demais serviços", "Demai...
## $ MUN_EXPENDIT <dbl> 28227691, 17909274, 37513019, NA, NA, NA, NA...
## $ COMP_TOT <int> 284, 476, 288, 621, 931, 86, 191, 87, 285, 6...
## $ COMP_A <int> 5, 6, 5, 18, 4, 1, 6, 2, 5, 2, 0, 8, 3, 1, 4...
## $ COMP_B <int> 1, 6, 9, 1, 2, 0, 0, 0, 0, 0, 0, 2, 2, 0, 0,...
## $ COMP_C <int> 56, 30, 26, 40, 43, 4, 8, 3, 20, 4, 9, 40, 3...
## $ COMP_D <int> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,...
## $ COMP_E <int> 2, 2, 2, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 2, 0,...
## $ COMP_F <int> 29, 34, 7, 20, 27, 6, 4, 0, 10, 2, 0, 25, 12...
## $ COMP_G <int> 110, 190, 117, 303, 500, 48, 97, 71, 133, 35...
## $ COMP_H <int> 26, 70, 12, 62, 16, 2, 5, 0, 18, 8, 1, 67, 3...
## $ COMP_I <int> 4, 28, 57, 30, 31, 10, 5, 1, 14, 3, 0, 25, 1...
## $ COMP_J <int> 5, 11, 2, 9, 6, 2, 3, 1, 8, 1, 1, 9, 5, 14, ...
## $ COMP_K <int> 0, 0, 1, 6, 1, 0, 1, 0, 0, 1, 0, 4, 3, 3, 0,...
## $ COMP_L <int> 2, 4, 0, 4, 1, 0, 0, 0, 4, 0, 0, 7, 4, 4, 0,...
## $ COMP_M <int> 10, 15, 7, 28, 22, 2, 5, 0, 11, 4, 2, 26, 17...
## $ COMP_N <int> 12, 29, 15, 27, 16, 3, 5, 1, 26, 0, 1, 16, 1...
## $ COMP_O <int> 4, 2, 3, 2, 2, 2, 2, 2, 2, 2, 6, 2, 4, 2, 4,...
## $ COMP_P <int> 6, 9, 11, 15, 155, 0, 8, 0, 8, 1, 6, 14, 11,...
## $ COMP_Q <int> 6, 14, 5, 19, 33, 2, 1, 2, 9, 3, 0, 13, 22, ...
## $ COMP_R <int> 1, 6, 1, 9, 15, 0, 2, 0, 4, 0, 0, 4, 6, 6, 0...
## $ COMP_S <int> 5, 19, 8, 27, 56, 4, 38, 4, 12, 3, 4, 23, 38...
## $ COMP_T <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
## $ COMP_U <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
## $ HOTELS <int> NA, NA, 1, NA, NA, NA, 1, NA, NA, NA, NA, NA...
## $ BEDS <int> NA, NA, 34, NA, NA, NA, 24, NA, NA, NA, NA, ...
## $ Pr_Agencies <int> NA, NA, 1, 2, 2, NA, NA, 1, 0, 0, 0, 1, 0, 2...
## $ Pu_Agencies <int> NA, NA, 1, 2, 4, NA, NA, 0, 1, 1, 1, 2, 1, 3...
## $ Pr_Bank <int> NA, NA, 1, 2, 2, NA, NA, 1, 0, 0, 0, 1, 0, 2...
## $ Pu_Bank <int> NA, NA, 1, 2, 4, NA, NA, 0, 1, 1, 1, 2, 1, 3...
## $ Pr_Assets <dbl> NA, NA, 33724584, 44974716, 76181384, NA, NA...
## $ Pu_Assets <dbl> NA, NA, 67091904, 371922572, 800078483, NA, ...
## $ Cars <int> 2158, 2227, 2838, 6928, 5277, 553, 896, 613,...
## $ Motorcycles <int> 1246, 1142, 1426, 2953, 25661, 1674, 696, 15...
## $ Wheeled_tractor <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0,...
## $ UBER <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ MAC <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ WAL.MART <int> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ...
## $ POST_OFFICES <int> 1, 1, 3, 4, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1,...
## $ geometry <POINT [m]> POINT (5486142 8140850), POINT (569725...Based on the summary for both data sets, we can see that the name of the Brazil municipality boundaries are not aynchronise in such way that some letters are in Upper case and some letters are in lower case. This case we will not cover all the letters in upper case because all their special character in lower case. Therefore, we will perform funs(tolower) function to the data set.
mun <- mun %>%
mutate_at(.vars = vars(name_muni), .funs = funs(tolower)) funs(tolower) function also applies to br_data.sf dataset.
br_data.sf <- br_data.sf %>%
mutate_at(.vars = vars(CITY), .funs = funs(tolower)) Before, performing the left_join function, we need to convert the br_data.sf data set to data frame in order to combine it with mun data set.
br_data.df <- as.data.frame(br_data.sf)In this case, we need to assign 2 common columns in order to perform the join. As there are many Brazil municipality city with the same, in order to map it correctly we need to add in an extra common variable which is their State name.
As we know that, in the br_data.df data set we have all the information, one question we have to ask ourselves, then why we need to combine both data set. The reason is we want to filter out those Brazil municipality boundary which not in both data set.
final_br <- left_join(mun, br_data.df , by = c("name_muni" = "CITY","abbrev_state"="STATE"))After performing the left_join function, we want to check the class of final_br data set. Currently the data set is in Simple feature format.
class(final_br)## [1] "sf" "data.frame"At the same time we also can use summary() function to view the summary of the final_br data set. As we can see in the summary there are 2 columns for geometry. One geometry is for the location point of municipality and the other geometry is for the polygon’s geometry. At the later stage we going to remove the geometry coordinates to make this data set is main for the exact location of municipality.
summary(final_br)## code_muni name_muni code_state abbrev_state
## Min. :1100015 Length:5572 31 : 853 Length:5572
## 1st Qu.:2512175 Class :character 35 : 645 Class :character
## Median :3146354 Mode :character 43 : 499 Mode :character
## Mean :3253966 29 : 417
## 3rd Qu.:4119264 41 : 399
## Max. :5300108 42 : 295
## (Other):2464
## CAPITAL IBGE_RES_POP IBGE_RES_POP_BRAS IBGE_RES_POP_ESTR
## Min. :0.000000 Min. : 805 Min. : 805 Min. : 0.0
## 1st Qu.:0.000000 1st Qu.: 5235 1st Qu.: 5230 1st Qu.: 0.0
## Median :0.000000 Median : 10934 Median : 10926 Median : 0.0
## Mean :0.004847 Mean : 34278 Mean : 34200 Mean : 77.5
## 3rd Qu.:0.000000 3rd Qu.: 23424 3rd Qu.: 23390 3rd Qu.: 10.0
## Max. :1.000000 Max. :11253503 Max. :11133776 Max. :119727.0
## NA's :1 NA's :7 NA's :7 NA's :7
## IBGE_DU IBGE_DU_URBAN IBGE_DU_RURAL IBGE_POP
## Min. : 239 Min. : 60 Min. : 3 Min. : 174
## 1st Qu.: 1572 1st Qu.: 874 1st Qu.: 487 1st Qu.: 2801
## Median : 3174 Median : 1846 Median : 931 Median : 6170
## Mean : 10303 Mean : 8859 Mean : 1463 Mean : 27595
## 3rd Qu.: 6726 3rd Qu.: 4624 3rd Qu.: 1832 3rd Qu.: 15302
## Max. :3576148 Max. :3548433 Max. :33809 Max. :10463636
## NA's :9 NA's :9 NA's :80 NA's :7
## IBGE_1 IBGE_1.4 IBGE_5.9 IBGE_10.14
## Min. : 0.0 Min. : 5 Min. : 7 Min. : 12
## 1st Qu.: 38.0 1st Qu.: 158 1st Qu.: 220 1st Qu.: 259
## Median : 92.0 Median : 376 Median : 516 Median : 588
## Mean : 383.3 Mean : 1544 Mean : 2069 Mean : 2381
## 3rd Qu.: 232.0 3rd Qu.: 951 3rd Qu.: 1300 3rd Qu.: 1478
## Max. :129464.0 Max. :514794 Max. :684443 Max. :783702
## NA's :7 NA's :7 NA's :7 NA's :7
## IBGE_15.59 IBGE_60. IBGE_PLANTED_AREA IBGE_CROP_PRODUCTION_.
## Min. : 94 Min. : 29 Min. : 0.0 Min. : 0
## 1st Qu.: 1734 1st Qu.: 341 1st Qu.: 910.2 1st Qu.: 2326
## Median : 3841 Median : 722 Median : 3471.5 Median : 13846
## Mean : 18212 Mean : 3004 Mean : 14179.9 Mean : 57384
## 3rd Qu.: 9628 3rd Qu.: 1724 3rd Qu.: 11194.2 3rd Qu.: 55619
## Max. :7058221 Max. :1293012 Max. :1205669.0 Max. :3274885
## NA's :7 NA's :7 NA's :2 NA's :2
## IDHM.Ranking.2010 IDHM IDHM_Renda IDHM_Longevidade
## Min. : 1 Min. :0.4180 Min. :0.4000 Min. :0.6720
## 1st Qu.:1392 1st Qu.:0.5990 1st Qu.:0.5720 1st Qu.:0.7690
## Median :2782 Median :0.6650 Median :0.6540 Median :0.8080
## Mean :2783 Mean :0.6592 Mean :0.6429 Mean :0.8016
## 3rd Qu.:4173 3rd Qu.:0.7180 3rd Qu.:0.7070 3rd Qu.:0.8360
## Max. :5565 Max. :0.8620 Max. :0.8910 Max. :0.8940
## NA's :8 NA's :8 NA's :8 NA's :8
## IDHM_Educacao ALT PAY_TV FIXED_PHONES
## Min. :0.2070 Min. : 0.0 Min. : 1 Min. : 3
## 1st Qu.:0.4900 1st Qu.: 169.7 1st Qu.: 88 1st Qu.: 119
## Median :0.5600 Median : 406.5 Median : 247 Median : 327
## Mean :0.5591 Mean : 894.0 Mean : 3095 Mean : 6568
## 3rd Qu.:0.6310 3rd Qu.: 629.0 3rd Qu.: 815 3rd Qu.: 1151
## Max. :0.8250 Max. :874579.0 Max. :2047668 Max. :5543127
## NA's :8 NA's :9 NA's :3 NA's :3
## AREA REGIAO_TUR CATEGORIA_TUR
## Min. : 3.57 :2287 :2287
## 1st Qu.: 204.44 Corredores Das Águas: 59 A : 51
## Median : 416.59 Vale Do Contestado : 45 B : 168
## Mean : 1517.44 Amazônia Atlântica : 40 C : 521
## 3rd Qu.: 1026.57 Araguaia-Tocantins : 39 D :1891
## Max. :159533.33 (Other) :3101 E : 653
## NA's :2 NA's : 1 NA's: 1
## ESTIMATED_POP RURAL_URBAN GVA_AGROPEC
## Min. : 786 Rural Adjacente :3040 Min. : 0
## 1st Qu.: 5454 Urbano :1456 1st Qu.: 4189
## Median : 11591 Intermediário Adjacente: 686 Median : 20426
## Mean : 37437 Rural Remoto : 323 Mean : 47271
## 3rd Qu.: 25297 Intermediário Remoto : 60 3rd Qu.: 51227
## Max. :12176866 (Other) : 6 Max. :1402282
## NA's :3 NA's : 1 NA's :2
## GVA_INDUSTRY GVA_SERVICES GVA_PUBLIC GVA_TOTAL
## Min. : 1 Min. : 2 Min. : 7 Min. : 17
## 1st Qu.: 1726 1st Qu.: 10112 1st Qu.: 17267 1st Qu.: 42253
## Median : 7424 Median : 31211 Median : 35866 Median : 119492
## Mean : 175928 Mean : 489451 Mean : 123768 Mean : 832987
## 3rd Qu.: 41022 3rd Qu.: 115406 3rd Qu.: 89245 3rd Qu.: 313963
## Max. :63306755 Max. :464656988 Max. :41902893 Max. :569910503
## NA's :2 NA's :2 NA's :2 NA's :2
## TAXES GDP POP_GDP GDP_CAPITA
## Min. : -14159 Min. : 15 Min. : 815 Min. : 3191
## 1st Qu.: 1305 1st Qu.: 43709 1st Qu.: 5483 1st Qu.: 9058
## Median : 5100 Median : 125153 Median : 11578 Median : 15870
## Mean : 118864 Mean : 954584 Mean : 36998 Mean : 21126
## 3rd Qu.: 22197 3rd Qu.: 329539 3rd Qu.: 25085 3rd Qu.: 26155
## Max. :117125387 Max. :687035890 Max. :12038175 Max. :314638
## NA's :2 NA's :2 NA's :2 NA's :2
## GVA_MAIN
## Administração, defesa, educação e saúde públicas e seguridade social:2725
## Demais serviços :1477
## Agricultura, inclusive apoio à agricultura e a pós colheita : 735
## Indústrias de transformação : 261
## Pecuária, inclusive apoio à pecuária : 161
## (Other) : 212
## NA's : 1
## MUN_EXPENDIT COMP_TOT COMP_A COMP_B
## Min. :1.421e+06 Min. : 6.0 Min. : 0.00 Min. : 0.000
## 1st Qu.:1.573e+07 1st Qu.: 68.0 1st Qu.: 1.00 1st Qu.: 0.000
## Median :2.746e+07 Median : 162.0 Median : 2.00 Median : 0.000
## Mean :1.043e+08 Mean : 906.8 Mean : 18.25 Mean : 1.852
## 3rd Qu.:5.672e+07 3rd Qu.: 448.0 3rd Qu.: 8.00 3rd Qu.: 2.000
## Max. :4.577e+10 Max. :530446.0 Max. :1948.00 Max. :274.000
## NA's :1493 NA's :2 NA's :2 NA's :2
## COMP_C COMP_D COMP_E COMP_F
## Min. : 0.00 Min. : 0.0000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 3.00 1st Qu.: 0.0000 1st Qu.: 0.000 1st Qu.: 1.00
## Median : 11.00 Median : 0.0000 Median : 0.000 Median : 4.00
## Mean : 73.44 Mean : 0.4262 Mean : 2.029 Mean : 43.26
## 3rd Qu.: 39.00 3rd Qu.: 0.0000 3rd Qu.: 1.000 3rd Qu.: 15.00
## Max. :31566.00 Max. :332.0000 Max. :657.000 Max. :25222.00
## NA's :2 NA's :2 NA's :2 NA's :2
## COMP_G COMP_H COMP_I COMP_J
## Min. : 1.0 Min. : 0 Min. : 0.00 Min. : 0.00
## 1st Qu.: 32.0 1st Qu.: 1 1st Qu.: 2.00 1st Qu.: 0.00
## Median : 74.5 Median : 7 Median : 7.00 Median : 1.00
## Mean : 348.0 Mean : 41 Mean : 55.88 Mean : 24.74
## 3rd Qu.: 199.0 3rd Qu.: 25 3rd Qu.: 24.00 3rd Qu.: 5.00
## Max. :150633.0 Max. :19515 Max. :29290.00 Max. :38720.00
## NA's :2 NA's :2 NA's :2 NA's :2
## COMP_K COMP_L COMP_M COMP_N
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.0
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 1.00 1st Qu.: 1.0
## Median : 0.00 Median : 0.00 Median : 4.00 Median : 4.0
## Mean : 15.55 Mean : 15.14 Mean : 51.29 Mean : 83.7
## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 13.00 3rd Qu.: 14.0
## Max. :23738.00 Max. :14003.00 Max. :49181.00 Max. :76757.0
## NA's :2 NA's :2 NA's :2 NA's :2
## COMP_O COMP_P COMP_Q COMP_R
## Min. : 0.000 Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 2.000 1st Qu.: 2.00 1st Qu.: 1.00 1st Qu.: 0.00
## Median : 2.000 Median : 6.00 Median : 3.00 Median : 2.00
## Mean : 3.269 Mean : 30.96 Mean : 34.15 Mean : 12.18
## 3rd Qu.: 3.000 3rd Qu.: 17.00 3rd Qu.: 12.00 3rd Qu.: 6.00
## Max. :204.000 Max. :16030.00 Max. :22248.00 Max. :6687.00
## NA's :2 NA's :2 NA's :2 NA's :2
## COMP_S COMP_T COMP_U HOTELS
## Min. : 0.00 Min. :0 Min. : 0.00000 Min. : 1.000
## 1st Qu.: 5.00 1st Qu.:0 1st Qu.: 0.00000 1st Qu.: 1.000
## Median : 12.00 Median :0 Median : 0.00000 Median : 1.000
## Mean : 51.61 Mean :0 Mean : 0.05027 Mean : 3.131
## 3rd Qu.: 31.00 3rd Qu.:0 3rd Qu.: 0.00000 3rd Qu.: 3.000
## Max. :24832.00 Max. :0 Max. :123.00000 Max. :97.000
## NA's :2 NA's :2 NA's :2 NA's :4685
## BEDS Pr_Agencies Pu_Agencies Pr_Bank
## Min. : 2.0 Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 40.0 1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.: 0.000
## Median : 82.0 Median : 1.000 Median : 2.000 Median : 1.000
## Mean : 257.5 Mean : 3.383 Mean : 2.829 Mean : 1.312
## 3rd Qu.: 200.0 3rd Qu.: 2.000 3rd Qu.: 2.000 3rd Qu.: 2.000
## Max. :13247.0 Max. :1693.000 Max. :626.000 Max. :83.000
## NA's :4685 NA's :2230 NA's :2230 NA's :2230
## Pu_Bank Pr_Assets Pu_Assets Cars
## Min. :0.00 Min. :0.000e+00 Min. :0.000e+00 Min. : 2
## 1st Qu.:1.00 1st Qu.:0.000e+00 1st Qu.:4.047e+07 1st Qu.: 602
## Median :2.00 Median :3.231e+07 Median :1.339e+08 Median : 1440
## Mean :1.58 Mean :9.187e+09 Mean :6.005e+09 Mean : 9861
## 3rd Qu.:2.00 3rd Qu.:1.148e+08 3rd Qu.:4.970e+08 3rd Qu.: 4086
## Max. :8.00 Max. :1.950e+13 Max. :8.020e+12 Max. :5740995
## NA's :2230 NA's :2230 NA's :2230 NA's :11
## Motorcycles Wheeled_tractor UBER MAC
## Min. : 4 Min. : 0.000 Min. :1 Min. : 1.000
## 1st Qu.: 591 1st Qu.: 0.000 1st Qu.:1 1st Qu.: 1.000
## Median : 1285 Median : 0.000 Median :1 Median : 2.000
## Mean : 4879 Mean : 5.755 Mean :1 Mean : 4.277
## 3rd Qu.: 3295 3rd Qu.: 1.000 3rd Qu.:1 3rd Qu.: 3.000
## Max. :1134570 Max. :3236.000 Max. :1 Max. :130.000
## NA's :11 NA's :11 NA's :5447 NA's :5406
## WAL.MART POST_OFFICES geom geometry
## Min. : 1.000 Min. : 1.000 MULTIPOLYGON :2773 POINT :5572
## 1st Qu.: 1.000 1st Qu.: 1.000 POLYGON :2799 epsg:29101 : 0
## Median : 1.000 Median : 1.000 epsg:29101 : 0 +proj=poly...: 0
## Mean : 2.059 Mean : 2.081 +proj=poly...: 0
## 3rd Qu.: 1.750 3rd Qu.: 2.000
## Max. :26.000 Max. :225.000
## NA's :5470 NA's :119As we mentioned, in the above, now we going to combine the data set again to make another data set purely for the location of Brazil municipality boundary.
br_data <- br_data %>%
mutate_at(.vars = vars(CITY), .funs = funs(tolower)) We will perform the left_join() function again.
mun_map <- left_join(mun, br_data , by = c("name_muni" = "CITY","abbrev_state"="STATE"))Since we got all the common Brazil municipality boundares, now we going to remove all the irrelevant columns and only keep those columns which related to Brazil municipality boundary and we will named it as mun_map.
mun_map <- dplyr::select(mun_map,1:4)4. Exploratory Data Analysis (EDA)
4.1 Choropleth map (GDP per capita, 2016)
Now we going to use tmap() function to show the GDP per Capita. As we mentioned before, in this data set there are 2 geometries, one is in point the other one is in polygon. When we use tm_fill it will use the polygon geometry instead of the point geometry.
tm_shape (final_br) +
tm_fill (col= "GDP_CAPITA",
style = "quantile",palette = "Blues",legend.hist = TRUE) +
tm_borders(alpha = 0.2)+
tm_layout(main.title = "BRAZIL GDP CAPITA",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 1,
legend.text.size = 0.8,
legend.position = c("left","bottom"),
legend.bg.alpha = 1,
legend.outside = TRUE,
legend.hist.width = 1,
outer.bg.color = "lightblue") +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom")) 
Based on the choropleth map of distribution of GDP per capita, 2016 at municipality level. We can see that those municipality with higher level GDP_CAPITA is tend to located at the bottom and centre of brazil. Those area with lower GDP_CAPITA is tend to located at the left-top and mid-right of brazil. At the same time, we can see from the histogram that lowest and second lowest GDP per CAPITA range have the highest number of municipalities compare to the rest.
Based on the choropleth map we can identify that, there are 2 missing municipalities that without any GPD. In order to get a most accurate analysis we need to exclude this 2 municipalities, as we cannot by assuming it to be zero when we going to use GDP per capita as our depentent variable.
final_br <- final_br[-c(4607,4608),]Since all the missing GDP per capita has been removed, now we can convert those columns with missing values.
final_br[is.na(final_br)] <- 04.2 Histogram plot and Boxplot for distribution of GDp per Capita
Now can use ggplot to plot 2 plots on the same output by using a package called “Patchwork”.
plt1 <- ggplot(data=final_br, aes(x=`GDP_CAPITA`)) +
geom_histogram(bins=20, color="black", fill="light blue")+
scale_x_continuous(labels = function(x) format(x, big.mark = ",", scientific = FALSE)) +
theme_classic()
plt2 <- ggplot(data=final_br,aes(x = "", y = GDP_CAPITA ))+
geom_boxplot(fill = "lightblue", color = "black") +
scale_y_continuous(labels = function(x) format(x, big.mark = ",", scientific = FALSE)) +
coord_flip() +
theme_classic() +
xlab("") +
theme(axis.text.y=element_blank(),
axis.ticks.y=element_blank())
plt2 + plt1 +plot_layout(nrow = 2, heights = c(1,2))
Based on the histogram and boxplot we can see the distribution of GDP_CAPTIA.
4.3 Drawing Statistical Point Map
tmap_mode("plot")Not only that, we also can use tmap to plot an interactive map. However, in this case we will change the map from tmap_mode(“view”) to tmap_mode(“plot”) first. The purpose of plotting the map is to see the location the municipality point. As we mentioned beofore, in this plot both tm_polygons and tm_dots will be using the data from the same set of data, as in this data set there are 2 geometries.
tm_shape(final_br)+
tm_polygons(alpha = 0.7) +
tm_shape(final_br) +
tm_dots(alpha = 0.6, col = "red")
tmap_mode("plot")5. Data Preparation of Multi-linear Regression
5.1 Converting into Dummy Variables
Now we going to remove the geometry column which referring to the municipalitity polygons and only left one geometry column which is for the municipality point.
final_br.point <- final_br %>%
st_set_geometry(NULL)
summary(final_br.point)## code_muni name_muni code_state abbrev_state
## Min. :1100015 Length:5570 31 : 853 Length:5570
## 1st Qu.:2512126 Class :character 35 : 645 Class :character
## Median :3146280 Mode :character 43 : 497 Mode :character
## Mean :3253591 29 : 417
## 3rd Qu.:4119190 41 : 399
## Max. :5300108 42 : 295
## (Other):2464
## CAPITAL IBGE_RES_POP IBGE_RES_POP_BRAS IBGE_RES_POP_ESTR
## Min. :0.000000 Min. : 0 Min. : 0 Min. : 0.00
## 1st Qu.:0.000000 1st Qu.: 5224 1st Qu.: 5217 1st Qu.: 0.00
## Median :0.000000 Median : 10932 Median : 10920 Median : 0.00
## Mean :0.004847 Mean : 34247 Mean : 34170 Mean : 77.44
## 3rd Qu.:0.000000 3rd Qu.: 23409 3rd Qu.: 23380 3rd Qu.: 10.00
## Max. :1.000000 Max. :11253503 Max. :11133776 Max. :119727.00
##
## IBGE_DU IBGE_DU_URBAN IBGE_DU_RURAL IBGE_POP
## Min. : 0 Min. : 0 Min. : 0 Min. : 0
## 1st Qu.: 1567 1st Qu.: 871 1st Qu.: 471 1st Qu.: 2790
## Median : 3170 Median : 1840 Median : 917 Median : 6158
## Mean : 10290 Mean : 8848 Mean : 1442 Mean : 27570
## 3rd Qu.: 6722 3rd Qu.: 4619 3rd Qu.: 1813 3rd Qu.: 15299
## Max. :3576148 Max. :3548433 Max. :33809 Max. :10463636
##
## IBGE_1 IBGE_1.4 IBGE_5.9 IBGE_10.14
## Min. : 0.0 Min. : 0.0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 38.0 1st Qu.: 158.0 1st Qu.: 219.2 1st Qu.: 258.2
## Median : 92.0 Median : 376.0 Median : 514.5 Median : 587.0
## Mean : 382.9 Mean : 1543.1 Mean : 2067.5 Mean : 2379.3
## 3rd Qu.: 232.0 3rd Qu.: 949.8 3rd Qu.: 1299.0 3rd Qu.: 1477.5
## Max. :129464.0 Max. :514794.0 Max. :684443.0 Max. :783702.0
##
## IBGE_15.59 IBGE_60. IBGE_PLANTED_AREA IBGE_CROP_PRODUCTION_.
## Min. : 0 Min. : 0 Min. : 0.0 Min. : 0
## 1st Qu.: 1730 1st Qu.: 340 1st Qu.: 910.2 1st Qu.: 2326
## Median : 3837 Median : 721 Median : 3471.5 Median : 13846
## Mean : 18196 Mean : 3002 Mean : 14179.9 Mean : 57384
## 3rd Qu.: 9591 3rd Qu.: 1723 3rd Qu.: 11194.2 3rd Qu.: 55619
## Max. :7058221 Max. :1293012 Max. :1205669.0 Max. :3274885
##
## IDHM.Ranking.2010 IDHM IDHM_Renda IDHM_Longevidade
## Min. : 0 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1387 1st Qu.:0.5990 1st Qu.:0.5720 1st Qu.:0.7690
## Median :2780 Median :0.6650 Median :0.6540 Median :0.8080
## Mean :2780 Mean :0.6585 Mean :0.6422 Mean :0.8007
## 3rd Qu.:4172 3rd Qu.:0.7180 3rd Qu.:0.7070 3rd Qu.:0.8360
## Max. :5565 Max. :0.8620 Max. :0.8910 Max. :0.8940
##
## IDHM_Educacao ALT PAY_TV FIXED_PHONES
## Min. :0.0000 Min. : 0.0 Min. : 0 Min. : 0
## 1st Qu.:0.4900 1st Qu.: 168.9 1st Qu.: 88 1st Qu.: 118
## Median :0.5600 Median : 406.3 Median : 247 Median : 327
## Mean :0.5585 Mean : 892.8 Mean : 3094 Mean : 6567
## 3rd Qu.:0.6310 3rd Qu.: 628.7 3rd Qu.: 815 3rd Qu.: 1151
## Max. :0.8250 Max. :874579.0 Max. :2047668 Max. :5543127
##
## AREA REGIAO_TUR CATEGORIA_TUR
## Min. : 0.0 :2286 :2286
## 1st Qu.: 204.3 Corredores Das Águas: 59 A: 51
## Median : 415.9 Vale Do Contestado : 45 B: 168
## Mean : 1515.6 Amazônia Atlântica : 40 C: 521
## 3rd Qu.: 1026.2 Araguaia-Tocantins : 39 D:1891
## Max. :159533.3 Cariri : 37 E: 653
## (Other) :3064
## ESTIMATED_POP RURAL_URBAN GVA_AGROPEC
## Min. : 0 : 0 Min. : 0
## 1st Qu.: 5451 Intermediário Adjacente: 686 1st Qu.: 4189
## Median : 11590 Intermediário Remoto : 60 Median : 20426
## Mean : 37430 Rural Adjacente :3040 Mean : 47271
## 3rd Qu.: 25296 Rural Remoto : 323 3rd Qu.: 51227
## Max. :12176866 Sem classificação : 5 Max. :1402282
## Urbano :1456
## GVA_INDUSTRY GVA_SERVICES GVA_PUBLIC GVA_TOTAL
## Min. : 1 Min. : 2 Min. : 7 Min. : 17
## 1st Qu.: 1726 1st Qu.: 10112 1st Qu.: 17267 1st Qu.: 42253
## Median : 7424 Median : 31211 Median : 35866 Median : 119492
## Mean : 175928 Mean : 489451 Mean : 123768 Mean : 832987
## 3rd Qu.: 41022 3rd Qu.: 115406 3rd Qu.: 89245 3rd Qu.: 313963
## Max. :63306755 Max. :464656988 Max. :41902893 Max. :569910503
##
## TAXES GDP POP_GDP GDP_CAPITA
## Min. : -14159 Min. : 15 Min. : 815 Min. : 3191
## 1st Qu.: 1305 1st Qu.: 43709 1st Qu.: 5483 1st Qu.: 9058
## Median : 5100 Median : 125153 Median : 11578 Median : 15870
## Mean : 118864 Mean : 954584 Mean : 36998 Mean : 21126
## 3rd Qu.: 22197 3rd Qu.: 329539 3rd Qu.: 25085 3rd Qu.: 26155
## Max. :117125387 Max. :687035890 Max. :12038175 Max. :314638
##
## GVA_MAIN
## Administração, defesa, educação e saúde públicas e seguridade social :2725
## Demais serviços :1477
## Agricultura, inclusive apoio à agricultura e a pós colheita : 735
## Indústrias de transformação : 261
## Pecuária, inclusive apoio à pecuária : 161
## Eletricidade e gás, água, esgoto, atividades de gestão de resíduos e descontaminação: 98
## (Other) : 113
## MUN_EXPENDIT COMP_TOT COMP_A COMP_B
## Min. :0.000e+00 Min. : 6.0 Min. : 0.00 Min. : 0.000
## 1st Qu.:0.000e+00 1st Qu.: 68.0 1st Qu.: 1.00 1st Qu.: 0.000
## Median :1.774e+07 Median : 162.0 Median : 2.00 Median : 0.000
## Mean :7.641e+07 Mean : 906.8 Mean : 18.25 Mean : 1.852
## 3rd Qu.:4.150e+07 3rd Qu.: 448.0 3rd Qu.: 8.00 3rd Qu.: 2.000
## Max. :4.577e+10 Max. :530446.0 Max. :1948.00 Max. :274.000
##
## COMP_C COMP_D COMP_E COMP_F
## Min. : 0.00 Min. : 0.0000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 3.00 1st Qu.: 0.0000 1st Qu.: 0.000 1st Qu.: 1.00
## Median : 11.00 Median : 0.0000 Median : 0.000 Median : 4.00
## Mean : 73.44 Mean : 0.4262 Mean : 2.029 Mean : 43.26
## 3rd Qu.: 39.00 3rd Qu.: 0.0000 3rd Qu.: 1.000 3rd Qu.: 15.00
## Max. :31566.00 Max. :332.0000 Max. :657.000 Max. :25222.00
##
## COMP_G COMP_H COMP_I COMP_J
## Min. : 1.0 Min. : 0 Min. : 0.00 Min. : 0.00
## 1st Qu.: 32.0 1st Qu.: 1 1st Qu.: 2.00 1st Qu.: 0.00
## Median : 74.5 Median : 7 Median : 7.00 Median : 1.00
## Mean : 348.0 Mean : 41 Mean : 55.88 Mean : 24.74
## 3rd Qu.: 199.0 3rd Qu.: 25 3rd Qu.: 24.00 3rd Qu.: 5.00
## Max. :150633.0 Max. :19515 Max. :29290.00 Max. :38720.00
##
## COMP_K COMP_L COMP_M COMP_N
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.0
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 1.00 1st Qu.: 1.0
## Median : 0.00 Median : 0.00 Median : 4.00 Median : 4.0
## Mean : 15.55 Mean : 15.14 Mean : 51.29 Mean : 83.7
## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 13.00 3rd Qu.: 14.0
## Max. :23738.00 Max. :14003.00 Max. :49181.00 Max. :76757.0
##
## COMP_O COMP_P COMP_Q COMP_R
## Min. : 0.000 Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 2.000 1st Qu.: 2.00 1st Qu.: 1.00 1st Qu.: 0.00
## Median : 2.000 Median : 6.00 Median : 3.00 Median : 2.00
## Mean : 3.269 Mean : 30.96 Mean : 34.15 Mean : 12.18
## 3rd Qu.: 3.000 3rd Qu.: 17.00 3rd Qu.: 12.00 3rd Qu.: 6.00
## Max. :204.000 Max. :16030.00 Max. :22248.00 Max. :6687.00
##
## COMP_S COMP_T COMP_U HOTELS
## Min. : 0.00 Min. :0 Min. : 0.00000 Min. : 0.0000
## 1st Qu.: 5.00 1st Qu.:0 1st Qu.: 0.00000 1st Qu.: 0.0000
## Median : 12.00 Median :0 Median : 0.00000 Median : 0.0000
## Mean : 51.61 Mean :0 Mean : 0.05027 Mean : 0.4986
## 3rd Qu.: 31.00 3rd Qu.:0 3rd Qu.: 0.00000 3rd Qu.: 0.0000
## Max. :24832.00 Max. :0 Max. :123.00000 Max. :97.0000
##
## BEDS Pr_Agencies Pu_Agencies Pr_Bank
## Min. : 0 Min. : 0.00 Min. : 0.000 Min. : 0.0000
## 1st Qu.: 0 1st Qu.: 0.00 1st Qu.: 0.000 1st Qu.: 0.0000
## Median : 0 Median : 0.00 Median : 1.000 Median : 0.0000
## Mean : 41 Mean : 2.03 Mean : 1.698 Mean : 0.7873
## 3rd Qu.: 0 3rd Qu.: 1.00 3rd Qu.: 2.000 3rd Qu.: 1.0000
## Max. :13247 Max. :1693.00 Max. :626.000 Max. :83.0000
##
## Pu_Bank Pr_Assets Pu_Assets Cars
## Min. :0.0000 Min. :0.000e+00 Min. :0.000e+00 Min. : 0
## 1st Qu.:0.0000 1st Qu.:0.000e+00 1st Qu.:0.000e+00 1st Qu.: 599
## Median :1.0000 Median :0.000e+00 Median :2.323e+07 Median : 1433
## Mean :0.9479 Mean :5.512e+09 Mean :3.603e+09 Mean : 9845
## 3rd Qu.:2.0000 3rd Qu.:4.775e+07 3rd Qu.:1.994e+08 3rd Qu.: 4084
## Max. :8.0000 Max. :1.950e+13 Max. :8.020e+12 Max. :5740995
##
## Motorcycles Wheeled_tractor UBER MAC
## Min. : 0.0 Min. : 0.000 Min. :0.00000 Min. : 0.0000
## 1st Qu.: 589.2 1st Qu.: 0.000 1st Qu.:0.00000 1st Qu.: 0.0000
## Median : 1282.5 Median : 0.000 Median :0.00000 Median : 0.0000
## Mean : 4871.5 Mean : 5.745 Mean :0.02244 Mean : 0.1275
## 3rd Qu.: 3292.8 3rd Qu.: 1.000 3rd Qu.:0.00000 3rd Qu.: 0.0000
## Max. :1134570.0 Max. :3236.000 Max. :1.00000 Max. :130.0000
##
## WAL.MART POST_OFFICES geometry
## Min. : 0.0000 Min. : 0.000 POINT :5570
## 1st Qu.: 0.0000 1st Qu.: 1.000 epsg:29101 : 0
## Median : 0.0000 Median : 1.000 +proj=poly...: 0
## Mean : 0.0377 Mean : 2.037
## 3rd Qu.: 0.0000 3rd Qu.: 2.000
## Max. :26.0000 Max. :225.000
## From the summary report above, we can see that the are a few columns which is not in the form of numerical data type and it is in the categorical data type. In order to make the information useful need to change it. Therefore, now we need to extract the particular column which we going to tranform. In this case, will be the RURAL_URBAN.
RURAL_URBAN <- dplyr::select(final_br.point,"RURAL_URBAN")Now we going to transfrom it into dummy avariable by using a need function call dummy_cols from the package called fastDummies. After, apply the function we change to binary type of data and there are total 6 neew columns been created.
RURAL_URBAN <- fastDummies::dummy_cols(RURAL_URBAN)
RURAL_URBAN## RURAL_URBAN RURAL_URBAN_ RURAL_URBAN_Intermediário Adjacente
## 1 Intermediário Adjacente 0 1
## 2 Urbano 0 0
## 3 Rural Adjacente 0 0
## 4 Urbano 0 0
## 5 Urbano 0 0
## 6 Intermediário Adjacente 0 1
## 7 Rural Remoto 0 0
## 8 Rural Remoto 0 0
## 9 Intermediário Adjacente 0 1
## 10 Urbano 0 0
## 11 Urbano 0 0
## 12 Urbano 0 0
## 13 Rural Remoto 0 0
## 14 Rural Adjacente 0 0
## 15 Urbano 0 0
## 16 Urbano 0 0
## 17 Urbano 0 0
## 18 Intermediário Adjacente 0 1
## 19 Rural Adjacente 0 0
## 20 Urbano 0 0
## 21 Rural Adjacente 0 0
## 22 Urbano 0 0
## 23 Rural Remoto 0 0
## 24 Rural Remoto 0 0
## 25 Rural Adjacente 0 0
## 26 Rural Adjacente 0 0
## 27 Rural Adjacente 0 0
## 28 Intermediário Remoto 0 0
## 29 Rural Adjacente 0 0
## 30 Rural Adjacente 0 0
## 31 Rural Adjacente 0 0
## 32 Urbano 0 0
## 33 Rural Adjacente 0 0
## 34 Rural Remoto 0 0
## 35 Intermediário Adjacente 0 1
## 36 Rural Adjacente 0 0
## 37 Rural Adjacente 0 0
## 38 Rural Adjacente 0 0
## 39 Rural Adjacente 0 0
## 40 Rural Adjacente 0 0
## 41 Rural Adjacente 0 0
## 42 Rural Adjacente 0 0
## 43 Rural Remoto 0 0
## 44 Rural Adjacente 0 0
## 45 Rural Adjacente 0 0
## 46 Rural Remoto 0 0
## 47 Rural Remoto 0 0
## 48 Rural Adjacente 0 0
## 49 Rural Adjacente 0 0
## 50 Rural Adjacente 0 0
## 51 Rural Remoto 0 0
## 52 Rural Adjacente 0 0
## 53 Rural Adjacente 0 0
## 54 Rural Remoto 0 0
## 55 Intermediário Remoto 0 0
## 56 Rural Adjacente 0 0
## 57 Rural Adjacente 0 0
## 58 Urbano 0 0
## 59 Intermediário Remoto 0 0
## 60 Intermediário Remoto 0 0
## 61 Rural Remoto 0 0
## 62 Rural Adjacente 0 0
## 63 Rural Remoto 0 0
## 64 Rural Remoto 0 0
## 65 Rural Adjacente 0 0
## 66 Rural Remoto 0 0
## 67 Urbano 0 0
## 68 Rural Adjacente 0 0
## 69 Rural Remoto 0 0
## 70 Intermediário Adjacente 0 1
## 71 Intermediário Adjacente 0 1
## 72 Intermediário Remoto 0 0
## 73 Rural Adjacente 0 0
## 74 Rural Adjacente 0 0
## 75 Rural Remoto 0 0
## 76 Rural Remoto 0 0
## 77 Rural Remoto 0 0
## 78 Rural Remoto 0 0
## 79 Intermediário Remoto 0 0
## 80 Rural Remoto 0 0
## 81 Rural Remoto 0 0
## 82 Intermediário Remoto 0 0
## 83 Rural Remoto 0 0
## 84 Intermediário Remoto 0 0
## 85 Rural Remoto 0 0
## 86 Rural Remoto 0 0
## 87 Intermediário Remoto 0 0
## 88 Rural Remoto 0 0
## 89 Rural Remoto 0 0
## 90 Rural Remoto 0 0
## 91 Urbano 0 0
## 92 Rural Adjacente 0 0
## 93 Rural Adjacente 0 0
## 94 Urbano 0 0
## 95 Intermediário Remoto 0 0
## 96 Intermediário Remoto 0 0
## 97 Intermediário Remoto 0 0
## 98 Intermediário Remoto 0 0
## 99 Rural Adjacente 0 0
## 100 Urbano 0 0
## 101 Rural Remoto 0 0
## 102 Intermediário Adjacente 0 1
## 103 Urbano 0 0
## 104 Rural Remoto 0 0
## 105 Intermediário Adjacente 0 1
## 106 Rural Remoto 0 0
## 107 Rural Remoto 0 0
## 108 Intermediário Remoto 0 0
## 109 Intermediário Remoto 0 0
## 110 Urbano 0 0
## 111 Rural Adjacente 0 0
## 112 Urbano 0 0
## 113 Rural Remoto 0 0
## 114 Rural Remoto 0 0
## 115 Rural Remoto 0 0
## 116 Rural Remoto 0 0
## 117 Rural Remoto 0 0
## 118 Rural Adjacente 0 0
## 119 Intermediário Remoto 0 0
## 120 Urbano 0 0
## 121 Rural Remoto 0 0
## 122 Rural Adjacente 0 0
## 123 Rural Adjacente 0 0
## 124 Rural Remoto 0 0
## 125 Intermediário Remoto 0 0
## 126 Intermediário Remoto 0 0
## 127 Rural Remoto 0 0
## 128 Rural Remoto 0 0
## 129 Rural Adjacente 0 0
## 130 Urbano 0 0
## 131 Intermediário Remoto 0 0
## 132 Urbano 0 0
## 133 Rural Remoto 0 0
## 134 Rural Remoto 0 0
## 135 Rural Remoto 0 0
## 136 Rural Remoto 0 0
## 137 Rural Adjacente 0 0
## 138 Rural Adjacente 0 0
## 139 Urbano 0 0
## 140 Rural Adjacente 0 0
## 141 Rural Adjacente 0 0
## 142 Rural Adjacente 0 0
## 143 Rural Remoto 0 0
## 144 Rural Adjacente 0 0
## 145 Rural Adjacente 0 0
## 146 Rural Adjacente 0 0
## 147 Rural Remoto 0 0
## 148 Rural Remoto 0 0
## 149 Rural Remoto 0 0
## 150 Rural Remoto 0 0
## 151 Rural Remoto 0 0
## 152 Urbano 0 0
## 153 Intermediário Adjacente 0 1
## 154 Rural Adjacente 0 0
## 155 Rural Remoto 0 0
## 156 Rural Remoto 0 0
## 157 Urbano 0 0
## 158 Intermediário Remoto 0 0
## 159 Urbano 0 0
## 160 Rural Remoto 0 0
## 161 Urbano 0 0
## 162 Rural Remoto 0 0
## 163 Rural Adjacente 0 0
## 164 Rural Adjacente 0 0
## 165 Rural Remoto 0 0
## 166 Rural Remoto 0 0
## 167 Rural Adjacente 0 0
## 168 Rural Adjacente 0 0
## 169 Urbano 0 0
## 170 Urbano 0 0
## 171 Rural Adjacente 0 0
## 172 Urbano 0 0
## 173 Rural Adjacente 0 0
## 174 Rural Adjacente 0 0
## 175 Urbano 0 0
## 176 Rural Adjacente 0 0
## 177 Rural Adjacente 0 0
## 178 Urbano 0 0
## 179 Urbano 0 0
## 180 Rural Adjacente 0 0
## 181 Rural Adjacente 0 0
## 182 Rural Remoto 0 0
## 183 Urbano 0 0
## 184 Intermediário Remoto 0 0
## 185 Urbano 0 0
## 186 Rural Adjacente 0 0
## 187 Urbano 0 0
## 188 Rural Remoto 0 0
## 189 Rural Adjacente 0 0
## 190 Urbano 0 0
## 191 Intermediário Adjacente 0 1
## 192 Rural Adjacente 0 0
## 193 Urbano 0 0
## 194 Rural Remoto 0 0
## 195 Rural Remoto 0 0
## 196 Rural Adjacente 0 0
## 197 Urbano 0 0
## 198 Intermediário Adjacente 0 1
## 199 Rural Remoto 0 0
## 200 Rural Adjacente 0 0
## 201 Rural Adjacente 0 0
## 202 Intermediário Adjacente 0 1
## 203 Rural Remoto 0 0
## 204 Intermediário Adjacente 0 1
## 205 Intermediário Adjacente 0 1
## 206 Rural Adjacente 0 0
## 207 Rural Adjacente 0 0
## 208 Rural Adjacente 0 0
## 209 Urbano 0 0
## 210 Urbano 0 0
## 211 Rural Remoto 0 0
## 212 Urbano 0 0
## 213 Intermediário Remoto 0 0
## 214 Rural Adjacente 0 0
## 215 Urbano 0 0
## 216 Rural Adjacente 0 0
## 217 Urbano 0 0
## 218 Rural Adjacente 0 0
## 219 Rural Adjacente 0 0
## 220 Urbano 0 0
## 221 Rural Adjacente 0 0
## 222 Rural Remoto 0 0
## 223 Intermediário Adjacente 0 1
## 224 Rural Adjacente 0 0
## 225 Sem classificação 0 0
## 226 Urbano 0 0
## 227 Rural Remoto 0 0
## 228 Rural Adjacente 0 0
## 229 Rural Adjacente 0 0
## 230 Rural Adjacente 0 0
## 231 Intermediário Remoto 0 0
## 232 Intermediário Adjacente 0 1
## 233 Urbano 0 0
## 234 Rural Adjacente 0 0
## 235 Urbano 0 0
## 236 Rural Adjacente 0 0
## 237 Urbano 0 0
## 238 Rural Remoto 0 0
## 239 Rural Adjacente 0 0
## 240 Urbano 0 0
## 241 Urbano 0 0
## 242 Rural Adjacente 0 0
## 243 Rural Adjacente 0 0
## 244 Rural Adjacente 0 0
## 245 Rural Remoto 0 0
## 246 Rural Adjacente 0 0
## 247 Intermediário Remoto 0 0
## 248 Rural Remoto 0 0
## 249 Rural Remoto 0 0
## 250 Rural Adjacente 0 0
## 251 Intermediário Adjacente 0 1
## 252 Urbano 0 0
## 253 Urbano 0 0
## 254 Urbano 0 0
## 255 Rural Remoto 0 0
## 256 Urbano 0 0
## 257 Rural Remoto 0 0
## 258 Rural Adjacente 0 0
## 259 Intermediário Remoto 0 0
## 260 Urbano 0 0
## 261 Rural Adjacente 0 0
## 262 Rural Remoto 0 0
## 263 Intermediário Adjacente 0 1
## 264 Urbano 0 0
## 265 Urbano 0 0
## 266 Rural Adjacente 0 0
## 267 Rural Adjacente 0 0
## 268 Rural Adjacente 0 0
## 269 Intermediário Adjacente 0 1
## 270 Rural Adjacente 0 0
## 271 Urbano 0 0
## 272 Rural Adjacente 0 0
## 273 Intermediário Adjacente 0 1
## 274 Rural Adjacente 0 0
## 275 Intermediário Adjacente 0 1
## 276 Rural Adjacente 0 0
## 277 Urbano 0 0
## 278 Rural Remoto 0 0
## 279 Rural Remoto 0 0
## 280 Rural Remoto 0 0
## 281 Urbano 0 0
## 282 Urbano 0 0
## 283 Rural Adjacente 0 0
## 284 Urbano 0 0
## 285 Urbano 0 0
## 286 Rural Adjacente 0 0
## 287 Rural Remoto 0 0
## 288 Urbano 0 0
## 289 Urbano 0 0
## 290 Urbano 0 0
## 291 Intermediário Remoto 0 0
## 292 Urbano 0 0
## 293 Rural Adjacente 0 0
## 294 Rural Adjacente 0 0
## 295 Urbano 0 0
## 296 Rural Remoto 0 0
## 297 Intermediário Remoto 0 0
## 298 Rural Remoto 0 0
## 299 Rural Remoto 0 0
## 300 Rural Adjacente 0 0
## 301 Intermediário Adjacente 0 1
## 302 Rural Adjacente 0 0
## 303 Urbano 0 0
## 304 Urbano 0 0
## 305 Rural Adjacente 0 0
## 306 Intermediário Remoto 0 0
## 307 Intermediário Adjacente 0 1
## 308 Rural Remoto 0 0
## 309 Urbano 0 0
## 310 Rural Remoto 0 0
## 311 Rural Remoto 0 0
## 312 Rural Adjacente 0 0
## 313 Urbano 0 0
## 314 Intermediário Adjacente 0 1
## 315 Intermediário Remoto 0 0
## 316 Intermediário Adjacente 0 1
## 317 Intermediário Adjacente 0 1
## 318 Rural Adjacente 0 0
## 319 Intermediário Adjacente 0 1
## 320 Rural Adjacente 0 0
## 321 Rural Remoto 0 0
## 322 Rural Remoto 0 0
## 323 Urbano 0 0
## 324 Rural Adjacente 0 0
## 325 Intermediário Adjacente 0 1
## 326 Intermediário Adjacente 0 1
## 327 Rural Adjacente 0 0
## 328 Urbano 0 0
## 329 Rural Remoto 0 0
## 330 Intermediário Adjacente 0 1
## 331 Rural Adjacente 0 0
## 332 Rural Adjacente 0 0
## 333 Rural Adjacente 0 0
## 334 Intermediário Adjacente 0 1
## 335 Rural Adjacente 0 0
## 336 Intermediário Remoto 0 0
## 337 Rural Adjacente 0 0
## 338 Rural Adjacente 0 0
## 339 Intermediário Adjacente 0 1
## 340 Rural Adjacente 0 0
## 341 Rural Remoto 0 0
## 342 Rural Adjacente 0 0
## 343 Rural Adjacente 0 0
## 344 Rural Remoto 0 0
## 345 Rural Remoto 0 0
## 346 Rural Remoto 0 0
## 347 Rural Adjacente 0 0
## 348 Rural Remoto 0 0
## 349 Urbano 0 0
## 350 Intermediário Remoto 0 0
## 351 Rural Remoto 0 0
## 352 Rural Remoto 0 0
## 353 Rural Adjacente 0 0
## 354 Rural Adjacente 0 0
## 355 Rural Adjacente 0 0
## 356 Urbano 0 0
## 357 Rural Remoto 0 0
## 358 Rural Remoto 0 0
## 359 Rural Adjacente 0 0
## 360 Rural Adjacente 0 0
## 361 Rural Adjacente 0 0
## 362 Rural Adjacente 0 0
## 363 Intermediário Adjacente 0 1
## 364 Intermediário Adjacente 0 1
## 365 Rural Adjacente 0 0
## 366 Rural Remoto 0 0
## 367 Rural Adjacente 0 0
## 368 Urbano 0 0
## 369 Urbano 0 0
## 370 Rural Adjacente 0 0
## 371 Rural Remoto 0 0
## 372 Rural Adjacente 0 0
## 373 Rural Adjacente 0 0
## 374 Rural Adjacente 0 0
## 375 Rural Remoto 0 0
## 376 Rural Remoto 0 0
## 377 Rural Remoto 0 0
## 378 Rural Adjacente 0 0
## 379 Rural Adjacente 0 0
## 380 Rural Remoto 0 0
## 381 Rural Remoto 0 0
## 382 Rural Adjacente 0 0
## 383 Rural Adjacente 0 0
## 384 Rural Remoto 0 0
## 385 Rural Adjacente 0 0
## 386 Intermediário Adjacente 0 1
## 387 Urbano 0 0
## 388 Rural Adjacente 0 0
## 389 Rural Adjacente 0 0
## 390 Rural Adjacente 0 0
## 391 Rural Adjacente 0 0
## 392 Rural Remoto 0 0
## 393 Rural Adjacente 0 0
## 394 Rural Adjacente 0 0
## 395 Rural Adjacente 0 0
## 396 Rural Adjacente 0 0
## 397 Rural Remoto 0 0
## 398 Rural Remoto 0 0
## 399 Rural Adjacente 0 0
## 400 Rural Adjacente 0 0
## 401 Rural Remoto 0 0
## 402 Urbano 0 0
## 403 Rural Remoto 0 0
## 404 Rural Adjacente 0 0
## 405 Intermediário Remoto 0 0
## 406 Rural Adjacente 0 0
## 407 Rural Remoto 0 0
## 408 Rural Remoto 0 0
## 409 Rural Remoto 0 0
## 410 Rural Adjacente 0 0
## 411 Rural Adjacente 0 0
## 412 Rural Remoto 0 0
## 413 Rural Adjacente 0 0
## 414 Rural Remoto 0 0
## 415 Urbano 0 0
## 416 Rural Adjacente 0 0
## 417 Rural Adjacente 0 0
## 418 Rural Adjacente 0 0
## 419 Rural Remoto 0 0
## 420 Rural Adjacente 0 0
## 421 Rural Remoto 0 0
## 422 Rural Adjacente 0 0
## 423 Rural Adjacente 0 0
## 424 Intermediário Adjacente 0 1
## 425 Rural Remoto 0 0
## 426 Rural Adjacente 0 0
## 427 Rural Remoto 0 0
## 428 Rural Adjacente 0 0
## 429 Rural Adjacente 0 0
## 430 Rural Adjacente 0 0
## 431 Rural Adjacente 0 0
## 432 Rural Adjacente 0 0
## 433 Rural Remoto 0 0
## 434 Rural Adjacente 0 0
## 435 Rural Remoto 0 0
## 436 Rural Adjacente 0 0
## 437 Rural Adjacente 0 0
## 438 Rural Adjacente 0 0
## 439 Rural Adjacente 0 0
## 440 Rural Adjacente 0 0
## 441 Rural Remoto 0 0
## 442 Rural Remoto 0 0
## 443 Rural Adjacente 0 0
## 444 Urbano 0 0
## 445 Intermediário Adjacente 0 1
## 446 Urbano 0 0
## 447 Intermediário Remoto 0 0
## 448 Rural Adjacente 0 0
## 449 Rural Adjacente 0 0
## 450 Intermediário Adjacente 0 1
## 451 Urbano 0 0
## 452 Rural Adjacente 0 0
## 453 Rural Adjacente 0 0
## 454 Rural Adjacente 0 0
## 455 Intermediário Adjacente 0 1
## 456 Rural Adjacente 0 0
## 457 Urbano 0 0
## 458 Rural Adjacente 0 0
## 459 Rural Remoto 0 0
## 460 Rural Adjacente 0 0
## 461 Rural Adjacente 0 0
## 462 Rural Adjacente 0 0
## 463 Rural Adjacente 0 0
## 464 Rural Remoto 0 0
## 465 Rural Adjacente 0 0
## 466 Rural Adjacente 0 0
## 467 Rural Remoto 0 0
## 468 Intermediário Adjacente 0 1
## 469 Rural Adjacente 0 0
## 470 Urbano 0 0
## 471 Rural Adjacente 0 0
## 472 Rural Remoto 0 0
## 473 Rural Adjacente 0 0
## 474 Urbano 0 0
## 475 Urbano 0 0
## 476 Urbano 0 0
## 477 Rural Remoto 0 0
## 478 Rural Adjacente 0 0
## 479 Rural Adjacente 0 0
## 480 Intermediário Remoto 0 0
## 481 Rural Adjacente 0 0
## 482 Rural Adjacente 0 0
## 483 Rural Adjacente 0 0
## 484 Rural Adjacente 0 0
## 485 Intermediário Adjacente 0 1
## 486 Rural Adjacente 0 0
## 487 Rural Adjacente 0 0
## 488 Rural Adjacente 0 0
## 489 Rural Adjacente 0 0
## 490 Urbano 0 0
## 491 Urbano 0 0
## 492 Rural Adjacente 0 0
## 493 Rural Adjacente 0 0
## 494 Rural Adjacente 0 0
## 495 Rural Adjacente 0 0
## 496 Urbano 0 0
## 497 Rural Adjacente 0 0
## 498 Intermediário Adjacente 0 1
## 499 Rural Adjacente 0 0
## 500 Intermediário Adjacente 0 1
## 501 Urbano 0 0
## 502 Urbano 0 0
## 503 Rural Adjacente 0 0
## 504 Rural Adjacente 0 0
## 505 Rural Adjacente 0 0
## 506 Rural Adjacente 0 0
## 507 Urbano 0 0
## 508 Rural Adjacente 0 0
## 509 Urbano 0 0
## 510 Urbano 0 0
## 511 Intermediário Adjacente 0 1
## 512 Rural Adjacente 0 0
## 513 Urbano 0 0
## 514 Intermediário Adjacente 0 1
## 515 Urbano 0 0
## 516 Intermediário Adjacente 0 1
## 517 Rural Adjacente 0 0
## 518 Rural Adjacente 0 0
## 519 Urbano 0 0
## 520 Rural Remoto 0 0
## 521 Rural Remoto 0 0
## 522 Rural Remoto 0 0
## 523 Rural Adjacente 0 0
## 524 Rural Adjacente 0 0
## 525 Rural Adjacente 0 0
## 526 Rural Adjacente 0 0
## 527 Rural Adjacente 0 0
## 528 Intermediário Adjacente 0 1
## 529 Rural Adjacente 0 0
## 530 Rural Adjacente 0 0
## 531 Rural Adjacente 0 0
## 532 Intermediário Adjacente 0 1
## 533 Rural Adjacente 0 0
## 534 Urbano 0 0
## 535 Rural Adjacente 0 0
## 536 Rural Remoto 0 0
## 537 Rural Adjacente 0 0
## 538 Rural Adjacente 0 0
## 539 Rural Adjacente 0 0
## 540 Urbano 0 0
## 541 Rural Remoto 0 0
## 542 Urbano 0 0
## 543 Intermediário Adjacente 0 1
## 544 Rural Adjacente 0 0
## 545 Rural Remoto 0 0
## 546 Intermediário Adjacente 0 1
## 547 Rural Adjacente 0 0
## 548 Rural Adjacente 0 0
## 549 Urbano 0 0
## 550 Rural Adjacente 0 0
## 551 Rural Adjacente 0 0
## 552 Rural Adjacente 0 0
## 553 Rural Adjacente 0 0
## 554 Rural Remoto 0 0
## 555 Rural Adjacente 0 0
## 556 Rural Adjacente 0 0
## 557 Rural Remoto 0 0
## 558 Intermediário Adjacente 0 1
## 559 Rural Adjacente 0 0
## 560 Urbano 0 0
## 561 Rural Adjacente 0 0
## 562 Rural Adjacente 0 0
## 563 Rural Adjacente 0 0
## 564 Rural Adjacente 0 0
## 565 Rural Adjacente 0 0
## 566 Rural Adjacente 0 0
## 567 Rural Adjacente 0 0
## 568 Rural Remoto 0 0
## 569 Urbano 0 0
## 570 Rural Adjacente 0 0
## 571 Rural Adjacente 0 0
## 572 Rural Adjacente 0 0
## 573 Rural Adjacente 0 0
## 574 Rural Adjacente 0 0
## 575 Rural Adjacente 0 0
## 576 Rural Remoto 0 0
## 577 Intermediário Adjacente 0 1
## 578 Rural Adjacente 0 0
## 579 Rural Adjacente 0 0
## 580 Urbano 0 0
## 581 Rural Adjacente 0 0
## 582 Urbano 0 0
## 583 Rural Adjacente 0 0
## 584 Rural Adjacente 0 0
## 585 Intermediário Remoto 0 0
## 586 Rural Remoto 0 0
## 587 Rural Adjacente 0 0
## 588 Urbano 0 0
## 589 Rural Adjacente 0 0
## 590 Intermediário Remoto 0 0
## 591 Rural Adjacente 0 0
## 592 Rural Adjacente 0 0
## 593 Intermediário Adjacente 0 1
## 594 Urbano 0 0
## 595 Intermediário Adjacente 0 1
## 596 Intermediário Adjacente 0 1
## 597 Rural Adjacente 0 0
## 598 Urbano 0 0
## 599 Rural Adjacente 0 0
## 600 Urbano 0 0
## 601 Rural Adjacente 0 0
## 602 Rural Adjacente 0 0
## 603 Rural Adjacente 0 0
## 604 Rural Adjacente 0 0
## 605 Rural Remoto 0 0
## 606 Urbano 0 0
## 607 Rural Adjacente 0 0
## 608 Rural Adjacente 0 0
## 609 Urbano 0 0
## 610 Rural Remoto 0 0
## 611 Rural Adjacente 0 0
## 612 Urbano 0 0
## 613 Urbano 0 0
## 614 Intermediário Adjacente 0 1
## 615 Intermediário Adjacente 0 1
## 616 Rural Adjacente 0 0
## 617 Rural Adjacente 0 0
## 618 Rural Adjacente 0 0
## 619 Rural Remoto 0 0
## 620 Rural Adjacente 0 0
## 621 Rural Adjacente 0 0
## 622 Intermediário Adjacente 0 1
## 623 Rural Adjacente 0 0
## 624 Rural Remoto 0 0
## 625 Intermediário Adjacente 0 1
## 626 Rural Remoto 0 0
## 627 Rural Adjacente 0 0
## 628 Rural Adjacente 0 0
## 629 Rural Adjacente 0 0
## 630 Rural Remoto 0 0
## 631 Rural Adjacente 0 0
## 632 Rural Adjacente 0 0
## 633 Urbano 0 0
## 634 Urbano 0 0
## 635 Rural Adjacente 0 0
## 636 Urbano 0 0
## 637 Rural Adjacente 0 0
## 638 Urbano 0 0
## 639 Intermediário Adjacente 0 1
## 640 Rural Remoto 0 0
## 641 Intermediário Adjacente 0 1
## 642 Rural Adjacente 0 0
## 643 Rural Adjacente 0 0
## 644 Rural Adjacente 0 0
## 645 Rural Adjacente 0 0
## 646 Rural Adjacente 0 0
## 647 Rural Adjacente 0 0
## 648 Rural Remoto 0 0
## 649 Rural Adjacente 0 0
## 650 Rural Remoto 0 0
## 651 Rural Adjacente 0 0
## 652 Rural Remoto 0 0
## 653 Intermediário Adjacente 0 1
## 654 Urbano 0 0
## 655 Urbano 0 0
## 656 Rural Adjacente 0 0
## 657 Rural Adjacente 0 0
## 658 Rural Adjacente 0 0
## 659 Urbano 0 0
## 660 Rural Adjacente 0 0
## 661 Intermediário Adjacente 0 1
## 662 Intermediário Adjacente 0 1
## 663 Intermediário Adjacente 0 1
## 664 Rural Adjacente 0 0
## 665 Intermediário Adjacente 0 1
## 666 Rural Adjacente 0 0
## 667 Urbano 0 0
## 668 Rural Adjacente 0 0
## 669 Rural Adjacente 0 0
## 670 Urbano 0 0
## 671 Rural Adjacente 0 0
## 672 Rural Adjacente 0 0
## 673 Rural Adjacente 0 0
## 674 Urbano 0 0
## 675 Rural Remoto 0 0
## 676 Rural Adjacente 0 0
## 677 Rural Adjacente 0 0
## 678 Rural Adjacente 0 0
## 679 Rural Remoto 0 0
## 680 Rural Adjacente 0 0
## 681 Rural Adjacente 0 0
## 682 Rural Adjacente 0 0
## 683 Rural Adjacente 0 0
## 684 Rural Remoto 0 0
## 685 Rural Remoto 0 0
## 686 Rural Remoto 0 0
## 687 Rural Adjacente 0 0
## 688 Rural Remoto 0 0
## 689 Rural Adjacente 0 0
## 690 Rural Adjacente 0 0
## 691 Rural Remoto 0 0
## 692 Rural Adjacente 0 0
## 693 Rural Adjacente 0 0
## 694 Rural Remoto 0 0
## 695 Rural Adjacente 0 0
## 696 Rural Adjacente 0 0
## 697 Rural Adjacente 0 0
## 698 Urbano 0 0
## 699 Rural Adjacente 0 0
## 700 Rural Adjacente 0 0
## 701 Rural Adjacente 0 0
## 702 Rural Adjacente 0 0
## 703 Rural Adjacente 0 0
## 704 Rural Adjacente 0 0
## 705 Rural Adjacente 0 0
## 706 Rural Adjacente 0 0
## 707 Rural Adjacente 0 0
## 708 Rural Adjacente 0 0
## 709 Rural Adjacente 0 0
## 710 Rural Adjacente 0 0
## 711 Rural Remoto 0 0
## 712 Rural Adjacente 0 0
## 713 Rural Adjacente 0 0
## 714 Urbano 0 0
## 715 Rural Remoto 0 0
## 716 Intermediário Adjacente 0 1
## 717 Rural Adjacente 0 0
## 718 Rural Remoto 0 0
## 719 Rural Adjacente 0 0
## 720 Rural Adjacente 0 0
## 721 Rural Adjacente 0 0
## 722 Intermediário Adjacente 0 1
## 723 Rural Adjacente 0 0
## 724 Rural Adjacente 0 0
## 725 Rural Adjacente 0 0
## 726 Rural Adjacente 0 0
## 727 Rural Adjacente 0 0
## 728 Rural Remoto 0 0
## 729 Rural Adjacente 0 0
## 730 Rural Adjacente 0 0
## 731 Rural Adjacente 0 0
## 732 Intermediário Remoto 0 0
## 733 Rural Remoto 0 0
## 734 Rural Remoto 0 0
## 735 Rural Remoto 0 0
## 736 Rural Remoto 0 0
## 737 Rural Adjacente 0 0
## 738 Rural Adjacente 0 0
## 739 Rural Adjacente 0 0
## 740 Rural Adjacente 0 0
## 741 Rural Adjacente 0 0
## 742 Rural Adjacente 0 0
## 743 Rural Adjacente 0 0
## 744 Rural Adjacente 0 0
## 745 Rural Remoto 0 0
## 746 Intermediário Adjacente 0 1
## 747 Rural Adjacente 0 0
## 748 Rural Remoto 0 0
## 749 Rural Adjacente 0 0
## 750 Urbano 0 0
## 751 Rural Remoto 0 0
## 752 Rural Adjacente 0 0
## 753 Rural Adjacente 0 0
## 754 Rural Adjacente 0 0
## 755 Rural Adjacente 0 0
## 756 Rural Adjacente 0 0
## 757 Rural Remoto 0 0
## 758 Intermediário Adjacente 0 1
## 759 Rural Remoto 0 0
## 760 Intermediário Adjacente 0 1
## 761 Rural Adjacente 0 0
## 762 Rural Adjacente 0 0
## 763 Rural Adjacente 0 0
## 764 Rural Adjacente 0 0
## 765 Rural Adjacente 0 0
## 766 Rural Adjacente 0 0
## 767 Rural Adjacente 0 0
## 768 Rural Adjacente 0 0
## 769 Rural Adjacente 0 0
## 770 Rural Adjacente 0 0
## 771 Rural Adjacente 0 0
## 772 Rural Adjacente 0 0
## 773 Rural Adjacente 0 0
## 774 Rural Remoto 0 0
## 775 Intermediário Adjacente 0 1
## 776 Rural Adjacente 0 0
## 777 Rural Remoto 0 0
## 778 Rural Adjacente 0 0
## 779 Rural Adjacente 0 0
## 780 Rural Adjacente 0 0
## 781 Rural Adjacente 0 0
## 782 Rural Adjacente 0 0
## 783 Rural Adjacente 0 0
## 784 Rural Adjacente 0 0
## 785 Rural Remoto 0 0
## 786 Rural Adjacente 0 0
## 787 Intermediário Adjacente 0 1
## 788 Rural Remoto 0 0
## 789 Rural Remoto 0 0
## 790 Intermediário Adjacente 0 1
## 791 Intermediário Adjacente 0 1
## 792 Rural Adjacente 0 0
## 793 Rural Adjacente 0 0
## 794 Rural Adjacente 0 0
## 795 Rural Adjacente 0 0
## 796 Rural Adjacente 0 0
## 797 Rural Adjacente 0 0
## 798 Rural Adjacente 0 0
## 799 Rural Remoto 0 0
## 800 Rural Remoto 0 0
## 801 Rural Remoto 0 0
## 802 Rural Adjacente 0 0
## 803 Rural Adjacente 0 0
## 804 Rural Adjacente 0 0
## 805 Rural Adjacente 0 0
## 806 Rural Adjacente 0 0
## 807 Rural Adjacente 0 0
## 808 Rural Adjacente 0 0
## 809 Intermediário Adjacente 0 1
## 810 Rural Adjacente 0 0
## 811 Rural Adjacente 0 0
## 812 Rural Remoto 0 0
## 813 Rural Remoto 0 0
## 814 Rural Remoto 0 0
## 815 Rural Adjacente 0 0
## 816 Rural Adjacente 0 0
## 817 Rural Remoto 0 0
## 818 Urbano 0 0
## 819 Rural Adjacente 0 0
## 820 Rural Adjacente 0 0
## 821 Rural Adjacente 0 0
## 822 Intermediário Adjacente 0 1
## 823 Rural Remoto 0 0
## 824 Intermediário Adjacente 0 1
## 825 Rural Remoto 0 0
## 826 Rural Adjacente 0 0
## 827 Urbano 0 0
## 828 Rural Remoto 0 0
## 829 Rural Adjacente 0 0
## 830 Intermediário Adjacente 0 1
## 831 Urbano 0 0
## 832 Rural Adjacente 0 0
## 833 Rural Remoto 0 0
## 834 Rural Adjacente 0 0
## 835 Rural Adjacente 0 0
## 836 Rural Remoto 0 0
## 837 Urbano 0 0
## 838 Rural Remoto 0 0
## 839 Rural Remoto 0 0
## 840 Rural Remoto 0 0
## 841 Rural Remoto 0 0
## 842 Rural Adjacente 0 0
## 843 Rural Adjacente 0 0
## 844 Rural Remoto 0 0
## 845 Rural Remoto 0 0
## 846 Rural Adjacente 0 0
## 847 Rural Adjacente 0 0
## 848 Rural Adjacente 0 0
## 849 Rural Adjacente 0 0
## 850 Rural Adjacente 0 0
## 851 Rural Adjacente 0 0
## 852 Rural Adjacente 0 0
## 853 Rural Remoto 0 0
## 854 Rural Adjacente 0 0
## 855 Rural Remoto 0 0
## 856 Rural Adjacente 0 0
## 857 Rural Adjacente 0 0
## 858 Rural Adjacente 0 0
## 859 Rural Adjacente 0 0
## 860 Rural Adjacente 0 0
## 861 Rural Adjacente 0 0
## 862 Intermediário Adjacente 0 1
## 863 Rural Adjacente 0 0
## 864 Rural Remoto 0 0
## 865 Rural Adjacente 0 0
## 866 Rural Adjacente 0 0
## 867 Rural Adjacente 0 0
## 868 Rural Adjacente 0 0
## 869 Rural Adjacente 0 0
## 870 Rural Remoto 0 0
## 871 Rural Adjacente 0 0
## 872 Rural Adjacente 0 0
## 873 Intermediário Adjacente 0 1
## 874 Rural Remoto 0 0
## 875 Rural Remoto 0 0
## 876 Rural Adjacente 0 0
## 877 Rural Adjacente 0 0
## 878 Rural Adjacente 0 0
## 879 Rural Remoto 0 0
## 880 Rural Adjacente 0 0
## 881 Rural Adjacente 0 0
## 882 Rural Adjacente 0 0
## 883 Urbano 0 0
## 884 Rural Adjacente 0 0
## 885 Intermediário Remoto 0 0
## 886 Urbano 0 0
## 887 Rural Adjacente 0 0
## 888 Rural Adjacente 0 0
## 889 Rural Adjacente 0 0
## 890 Rural Adjacente 0 0
## 891 Rural Adjacente 0 0
## 892 Rural Adjacente 0 0
## 893 Intermediário Adjacente 0 1
## 894 Rural Adjacente 0 0
## 895 Rural Adjacente 0 0
## 896 Rural Adjacente 0 0
## 897 Rural Adjacente 0 0
## 898 Rural Adjacente 0 0
## 899 Rural Adjacente 0 0
## 900 Rural Adjacente 0 0
## 901 Rural Adjacente 0 0
## 902 Rural Adjacente 0 0
## 903 Urbano 0 0
## 904 Urbano 0 0
## 905 Rural Adjacente 0 0
## 906 Rural Adjacente 0 0
## 907 Rural Adjacente 0 0
## 908 Rural Adjacente 0 0
## 909 Rural Adjacente 0 0
## 910 Rural Adjacente 0 0
## 911 Rural Adjacente 0 0
## 912 Rural Adjacente 0 0
## 913 Rural Adjacente 0 0
## 914 Urbano 0 0
## 915 Rural Adjacente 0 0
## 916 Rural Adjacente 0 0
## 917 Rural Adjacente 0 0
## 918 Intermediário Adjacente 0 1
## 919 Rural Adjacente 0 0
## 920 Rural Adjacente 0 0
## 921 Rural Adjacente 0 0
## 922 Urbano 0 0
## 923 Urbano 0 0
## 924 Intermediário Adjacente 0 1
## 925 Urbano 0 0
## 926 Rural Adjacente 0 0
## 927 Rural Adjacente 0 0
## 928 Rural Adjacente 0 0
## 929 Rural Adjacente 0 0
## 930 Rural Adjacente 0 0
## 931 Rural Adjacente 0 0
## 932 Urbano 0 0
## 933 Rural Adjacente 0 0
## 934 Rural Adjacente 0 0
## 935 Urbano 0 0
## 936 Intermediário Adjacente 0 1
## 937 Rural Adjacente 0 0
## 938 Rural Adjacente 0 0
## 939 Rural Adjacente 0 0
## 940 Rural Adjacente 0 0
## 941 Urbano 0 0
## 942 Urbano 0 0
## 943 Rural Adjacente 0 0
## 944 Rural Adjacente 0 0
## 945 Rural Adjacente 0 0
## 946 Rural Adjacente 0 0
## 947 Urbano 0 0
## 948 Rural Adjacente 0 0
## 949 Urbano 0 0
## 950 Urbano 0 0
## 951 Rural Adjacente 0 0
## 952 Rural Adjacente 0 0
## 953 Rural Adjacente 0 0
## 954 Rural Adjacente 0 0
## 955 Rural Adjacente 0 0
## 956 Rural Adjacente 0 0
## 957 Rural Adjacente 0 0
## 958 Intermediário Adjacente 0 1
## 959 Rural Adjacente 0 0
## 960 Rural Adjacente 0 0
## 961 Rural Adjacente 0 0
## 962 Urbano 0 0
## 963 Rural Adjacente 0 0
## 964 Rural Adjacente 0 0
## 965 Rural Adjacente 0 0
## 966 Rural Adjacente 0 0
## 967 Intermediário Adjacente 0 1
## 968 Urbano 0 0
## 969 Rural Adjacente 0 0
## 970 Rural Adjacente 0 0
## 971 Rural Adjacente 0 0
## 972 Intermediário Adjacente 0 1
## 973 Rural Adjacente 0 0
## 974 Rural Adjacente 0 0
## 975 Rural Adjacente 0 0
## 976 Rural Adjacente 0 0
## 977 Urbano 0 0
## 978 Urbano 0 0
## 979 Urbano 0 0
## 980 Rural Adjacente 0 0
## 981 Rural Adjacente 0 0
## 982 Rural Adjacente 0 0
## 983 Rural Adjacente 0 0
## 984 Rural Adjacente 0 0
## 985 Intermediário Adjacente 0 1
## 986 Rural Adjacente 0 0
## 987 Rural Adjacente 0 0
## 988 Rural Adjacente 0 0
## 989 Rural Adjacente 0 0
## 990 Urbano 0 0
## 991 Rural Adjacente 0 0
## 992 Rural Adjacente 0 0
## 993 Urbano 0 0
## 994 Rural Adjacente 0 0
## 995 Urbano 0 0
## 996 Urbano 0 0
## 997 Rural Adjacente 0 0
## 998 Intermediário Adjacente 0 1
## 999 Rural Adjacente 0 0
## 1000 Rural Adjacente 0 0
## 1001 Rural Adjacente 0 0
## 1002 Rural Adjacente 0 0
## 1003 Rural Adjacente 0 0
## 1004 Rural Adjacente 0 0
## 1005 Rural Adjacente 0 0
## 1006 Rural Adjacente 0 0
## 1007 Rural Adjacente 0 0
## 1008 Intermediário Adjacente 0 1
## 1009 Rural Adjacente 0 0
## 1010 Rural Adjacente 0 0
## 1011 Rural Adjacente 0 0
## 1012 Rural Adjacente 0 0
## 1013 Rural Adjacente 0 0
## 1014 Intermediário Adjacente 0 1
## 1015 Rural Adjacente 0 0
## 1016 Rural Adjacente 0 0
## 1017 Intermediário Adjacente 0 1
## 1018 Urbano 0 0
## 1019 Urbano 0 0
## 1020 Rural Adjacente 0 0
## 1021 Rural Adjacente 0 0
## 1022 Rural Adjacente 0 0
## 1023 Rural Adjacente 0 0
## 1024 Intermediário Adjacente 0 1
## 1025 Rural Adjacente 0 0
## 1026 Rural Adjacente 0 0
## 1027 Rural Adjacente 0 0
## 1028 Intermediário Adjacente 0 1
## 1029 Rural Adjacente 0 0
## 1030 Intermediário Adjacente 0 1
## 1031 Rural Adjacente 0 0
## 1032 Rural Adjacente 0 0
## 1033 Rural Adjacente 0 0
## 1034 Rural Adjacente 0 0
## 1035 Rural Adjacente 0 0
## 1036 Rural Adjacente 0 0
## 1037 Rural Adjacente 0 0
## 1038 Rural Adjacente 0 0
## 1039 Rural Adjacente 0 0
## 1040 Urbano 0 0
## 1041 Rural Adjacente 0 0
## 1042 Urbano 0 0
## 1043 Intermediário Adjacente 0 1
## 1044 Intermediário Adjacente 0 1
## 1045 Rural Adjacente 0 0
## 1046 Urbano 0 0
## 1047 Rural Adjacente 0 0
## 1048 Rural Adjacente 0 0
## 1049 Rural Adjacente 0 0
## 1050 Rural Adjacente 0 0
## 1051 Rural Adjacente 0 0
## 1052 Rural Adjacente 0 0
## 1053 Rural Adjacente 0 0
## 1054 Rural Adjacente 0 0
## 1055 Rural Adjacente 0 0
## 1056 Rural Adjacente 0 0
## 1057 Rural Adjacente 0 0
## 1058 Urbano 0 0
## 1059 Rural Adjacente 0 0
## 1060 Intermediário Adjacente 0 1
## 1061 Rural Adjacente 0 0
## 1062 Rural Adjacente 0 0
## 1063 Intermediário Adjacente 0 1
## 1064 Rural Adjacente 0 0
## 1065 Urbano 0 0
## 1066 Rural Adjacente 0 0
## 1067 Rural Adjacente 0 0
## 1068 Rural Adjacente 0 0
## 1069 Rural Adjacente 0 0
## 1070 Rural Adjacente 0 0
## 1071 Intermediário Adjacente 0 1
## 1072 Rural Adjacente 0 0
## 1073 Intermediário Adjacente 0 1
## 1074 Intermediário Adjacente 0 1
## 1075 Rural Adjacente 0 0
## 1076 Intermediário Adjacente 0 1
## 1077 Urbano 0 0
## 1078 Rural Adjacente 0 0
## 1079 Rural Adjacente 0 0
## 1080 Rural Adjacente 0 0
## 1081 Rural Adjacente 0 0
## 1082 Rural Adjacente 0 0
## 1083 Intermediário Adjacente 0 1
## 1084 Rural Adjacente 0 0
## 1085 Intermediário Adjacente 0 1
## 1086 Urbano 0 0
## 1087 Rural Adjacente 0 0
## 1088 Rural Adjacente 0 0
## 1089 Intermediário Adjacente 0 1
## 1090 Intermediário Adjacente 0 1
## 1091 Rural Adjacente 0 0
## 1092 Rural Adjacente 0 0
## 1093 Rural Adjacente 0 0
## 1094 Intermediário Adjacente 0 1
## 1095 Intermediário Adjacente 0 1
## 1096 Intermediário Adjacente 0 1
## 1097 Rural Adjacente 0 0
## 1098 Urbano 0 0
## 1099 Rural Adjacente 0 0
## 1100 Urbano 0 0
## 1101 Intermediário Adjacente 0 1
## 1102 Intermediário Adjacente 0 1
## 1103 Rural Adjacente 0 0
## 1104 Urbano 0 0
## 1105 Rural Adjacente 0 0
## 1106 Rural Adjacente 0 0
## 1107 Rural Adjacente 0 0
## 1108 Intermediário Adjacente 0 1
## 1109 Urbano 0 0
## 1110 Rural Adjacente 0 0
## 1111 Urbano 0 0
## 1112 Rural Adjacente 0 0
## 1113 Intermediário Adjacente 0 1
## 1114 Rural Adjacente 0 0
## 1115 Urbano 0 0
## 1116 Rural Adjacente 0 0
## 1117 Rural Adjacente 0 0
## 1118 Rural Adjacente 0 0
## 1119 Rural Adjacente 0 0
## 1120 Rural Adjacente 0 0
## 1121 Rural Adjacente 0 0
## 1122 Urbano 0 0
## 1123 Rural Adjacente 0 0
## 1124 Rural Adjacente 0 0
## 1125 Rural Adjacente 0 0
## 1126 Rural Adjacente 0 0
## 1127 Rural Adjacente 0 0
## 1128 Rural Adjacente 0 0
## 1129 Intermediário Adjacente 0 1
## 1130 Intermediário Adjacente 0 1
## 1131 Intermediário Adjacente 0 1
## 1132 Rural Adjacente 0 0
## 1133 Rural Adjacente 0 0
## 1134 Rural Adjacente 0 0
## 1135 Intermediário Adjacente 0 1
## 1136 Rural Adjacente 0 0
## 1137 Urbano 0 0
## 1138 Intermediário Adjacente 0 1
## 1139 Intermediário Adjacente 0 1
## 1140 Rural Adjacente 0 0
## 1141 Rural Adjacente 0 0
## 1142 Rural Adjacente 0 0
## 1143 Rural Adjacente 0 0
## 1144 Rural Adjacente 0 0
## 1145 Rural Adjacente 0 0
## 1146 Rural Adjacente 0 0
## 1147 Rural Adjacente 0 0
## 1148 Rural Adjacente 0 0
## 1149 Intermediário Adjacente 0 1
## 1150 Rural Adjacente 0 0
## 1151 Rural Adjacente 0 0
## 1152 Rural Adjacente 0 0
## 1153 Urbano 0 0
## 1154 Intermediário Adjacente 0 1
## 1155 Rural Adjacente 0 0
## 1156 Rural Adjacente 0 0
## 1157 Rural Adjacente 0 0
## 1158 Rural Adjacente 0 0
## 1159 Intermediário Adjacente 0 1
## 1160 Intermediário Adjacente 0 1
## 1161 Rural Adjacente 0 0
## 1162 Rural Adjacente 0 0
## 1163 Urbano 0 0
## 1164 Urbano 0 0
## 1165 Intermediário Adjacente 0 1
## 1166 Intermediário Adjacente 0 1
## 1167 Rural Adjacente 0 0
## 1168 Rural Adjacente 0 0
## 1169 Rural Adjacente 0 0
## 1170 Rural Adjacente 0 0
## 1171 Rural Adjacente 0 0
## 1172 Urbano 0 0
## 1173 Rural Adjacente 0 0
## 1174 Rural Adjacente 0 0
## 1175 Rural Adjacente 0 0
## 1176 Intermediário Adjacente 0 1
## 1177 Rural Adjacente 0 0
## 1178 Urbano 0 0
## 1179 Rural Adjacente 0 0
## 1180 Rural Adjacente 0 0
## 1181 Rural Adjacente 0 0
## 1182 Rural Adjacente 0 0
## 1183 Rural Adjacente 0 0
## 1184 Rural Adjacente 0 0
## 1185 Rural Adjacente 0 0
## 1186 Rural Adjacente 0 0
## 1187 Rural Adjacente 0 0
## 1188 Rural Adjacente 0 0
## 1189 Rural Adjacente 0 0
## 1190 Rural Adjacente 0 0
## 1191 Rural Adjacente 0 0
## 1192 Rural Adjacente 0 0
## 1193 Rural Adjacente 0 0
## 1194 Rural Adjacente 0 0
## 1195 Intermediário Adjacente 0 1
## 1196 Rural Adjacente 0 0
## 1197 Rural Adjacente 0 0
## 1198 Urbano 0 0
## 1199 Rural Adjacente 0 0
## 1200 Rural Adjacente 0 0
## 1201 Rural Adjacente 0 0
## 1202 Intermediário Adjacente 0 1
## 1203 Rural Adjacente 0 0
## 1204 Rural Adjacente 0 0
## 1205 Intermediário Adjacente 0 1
## 1206 Urbano 0 0
## 1207 Intermediário Adjacente 0 1
## 1208 Intermediário Adjacente 0 1
## 1209 Urbano 0 0
## 1210 Intermediário Adjacente 0 1
## 1211 Intermediário Adjacente 0 1
## 1212 Rural Adjacente 0 0
## 1213 Intermediário Adjacente 0 1
## 1214 Rural Adjacente 0 0
## 1215 Rural Adjacente 0 0
## 1216 Rural Adjacente 0 0
## 1217 Rural Adjacente 0 0
## 1218 Rural Adjacente 0 0
## 1219 Rural Adjacente 0 0
## 1220 Rural Adjacente 0 0
## 1221 Rural Adjacente 0 0
## 1222 Rural Adjacente 0 0
## 1223 Rural Adjacente 0 0
## 1224 Rural Adjacente 0 0
## 1225 Rural Adjacente 0 0
## 1226 Rural Adjacente 0 0
## 1227 Rural Adjacente 0 0
## 1228 Rural Adjacente 0 0
## 1229 Rural Adjacente 0 0
## 1230 Rural Adjacente 0 0
## 1231 Rural Adjacente 0 0
## 1232 Rural Adjacente 0 0
## 1233 Rural Adjacente 0 0
## 1234 Rural Adjacente 0 0
## 1235 Rural Adjacente 0 0
## 1236 Intermediário Adjacente 0 1
## 1237 Rural Adjacente 0 0
## 1238 Intermediário Adjacente 0 1
## 1239 Rural Adjacente 0 0
## 1240 Rural Adjacente 0 0
## 1241 Rural Adjacente 0 0
## 1242 Rural Adjacente 0 0
## 1243 Rural Adjacente 0 0
## 1244 Rural Adjacente 0 0
## 1245 Intermediário Adjacente 0 1
## 1246 Rural Adjacente 0 0
## 1247 Rural Adjacente 0 0
## 1248 Rural Adjacente 0 0
## 1249 Rural Adjacente 0 0
## 1250 Urbano 0 0
## 1251 Rural Adjacente 0 0
## 1252 Rural Adjacente 0 0
## 1253 Rural Adjacente 0 0
## 1254 Rural Adjacente 0 0
## 1255 Rural Adjacente 0 0
## 1256 Rural Adjacente 0 0
## 1257 Intermediário Adjacente 0 1
## 1258 Rural Adjacente 0 0
## 1259 Rural Adjacente 0 0
## 1260 Rural Adjacente 0 0
## 1261 Rural Adjacente 0 0
## 1262 Rural Adjacente 0 0
## 1263 Urbano 0 0
## 1264 Rural Adjacente 0 0
## 1265 Rural Adjacente 0 0
## 1266 Rural Adjacente 0 0
## 1267 Rural Adjacente 0 0
## 1268 Urbano 0 0
## 1269 Rural Adjacente 0 0
## 1270 Rural Adjacente 0 0
## 1271 Rural Adjacente 0 0
## 1272 Rural Adjacente 0 0
## 1273 Rural Adjacente 0 0
## 1274 Rural Adjacente 0 0
## 1275 Rural Adjacente 0 0
## 1276 Rural Adjacente 0 0
## 1277 Intermediário Adjacente 0 1
## 1278 Rural Adjacente 0 0
## 1279 Rural Adjacente 0 0
## 1280 Rural Adjacente 0 0
## 1281 Rural Adjacente 0 0
## 1282 Urbano 0 0
## 1283 Rural Adjacente 0 0
## 1284 Urbano 0 0
## 1285 Rural Adjacente 0 0
## 1286 Rural Adjacente 0 0
## 1287 Rural Adjacente 0 0
## 1288 Rural Adjacente 0 0
## 1289 Rural Adjacente 0 0
## 1290 Urbano 0 0
## 1291 Rural Adjacente 0 0
## 1292 Rural Adjacente 0 0
## 1293 Rural Adjacente 0 0
## 1294 Urbano 0 0
## 1295 Rural Adjacente 0 0
## 1296 Rural Adjacente 0 0
## 1297 Rural Adjacente 0 0
## 1298 Rural Adjacente 0 0
## 1299 Rural Adjacente 0 0
## 1300 Intermediário Adjacente 0 1
## 1301 Rural Adjacente 0 0
## 1302 Intermediário Adjacente 0 1
## 1303 Rural Adjacente 0 0
## 1304 Urbano 0 0
## 1305 Rural Adjacente 0 0
## 1306 Intermediário Adjacente 0 1
## 1307 Rural Adjacente 0 0
## 1308 Rural Adjacente 0 0
## 1309 Rural Adjacente 0 0
## 1310 Urbano 0 0
## 1311 Intermediário Adjacente 0 1
## 1312 Rural Adjacente 0 0
## 1313 Rural Adjacente 0 0
## 1314 Rural Adjacente 0 0
## 1315 Rural Adjacente 0 0
## 1316 Rural Adjacente 0 0
## 1317 Rural Adjacente 0 0
## 1318 Rural Adjacente 0 0
## 1319 Rural Adjacente 0 0
## 1320 Rural Adjacente 0 0
## 1321 Rural Adjacente 0 0
## 1322 Intermediário Adjacente 0 1
## 1323 Rural Adjacente 0 0
## 1324 Rural Adjacente 0 0
## 1325 Rural Adjacente 0 0
## 1326 Urbano 0 0
## 1327 Rural Adjacente 0 0
## 1328 Rural Adjacente 0 0
## 1329 Rural Adjacente 0 0
## 1330 Rural Adjacente 0 0
## 1331 Intermediário Adjacente 0 1
## 1332 Urbano 0 0
## 1333 Urbano 0 0
## 1334 Intermediário Adjacente 0 1
## 1335 Rural Adjacente 0 0
## 1336 Rural Adjacente 0 0
## 1337 Rural Adjacente 0 0
## 1338 Urbano 0 0
## 1339 Intermediário Adjacente 0 1
## 1340 Rural Adjacente 0 0
## 1341 Rural Adjacente 0 0
## 1342 Urbano 0 0
## 1343 Rural Adjacente 0 0
## 1344 Rural Adjacente 0 0
## 1345 Rural Adjacente 0 0
## 1346 Urbano 0 0
## 1347 Rural Adjacente 0 0
## 1348 Rural Adjacente 0 0
## 1349 Rural Adjacente 0 0
## 1350 Urbano 0 0
## 1351 Rural Adjacente 0 0
## 1352 Intermediário Adjacente 0 1
## 1353 Urbano 0 0
## 1354 Rural Adjacente 0 0
## 1355 Rural Adjacente 0 0
## 1356 Urbano 0 0
## 1357 Intermediário Adjacente 0 1
## 1358 Urbano 0 0
## 1359 Intermediário Adjacente 0 1
## 1360 Rural Adjacente 0 0
## 1361 Rural Adjacente 0 0
## 1362 Rural Adjacente 0 0
## 1363 Rural Adjacente 0 0
## 1364 Rural Adjacente 0 0
## 1365 Rural Adjacente 0 0
## 1366 Intermediário Adjacente 0 1
## 1367 Rural Adjacente 0 0
## 1368 Rural Adjacente 0 0
## 1369 Rural Adjacente 0 0
## 1370 Urbano 0 0
## 1371 Rural Adjacente 0 0
## 1372 Rural Adjacente 0 0
## 1373 Rural Adjacente 0 0
## 1374 Rural Adjacente 0 0
## 1375 Rural Adjacente 0 0
## 1376 Rural Adjacente 0 0
## 1377 Rural Adjacente 0 0
## 1378 Urbano 0 0
## 1379 Rural Adjacente 0 0
## 1380 Rural Adjacente 0 0
## 1381 Rural Adjacente 0 0
## 1382 Urbano 0 0
## 1383 Intermediário Adjacente 0 1
## 1384 Intermediário Adjacente 0 1
## 1385 Rural Adjacente 0 0
## 1386 Rural Adjacente 0 0
## 1387 Urbano 0 0
## 1388 Intermediário Adjacente 0 1
## 1389 Rural Adjacente 0 0
## 1390 Rural Adjacente 0 0
## 1391 Rural Adjacente 0 0
## 1392 Rural Adjacente 0 0
## 1393 Urbano 0 0
## 1394 Rural Adjacente 0 0
## 1395 Intermediário Adjacente 0 1
## 1396 Urbano 0 0
## 1397 Urbano 0 0
## 1398 Urbano 0 0
## 1399 Urbano 0 0
## 1400 Rural Adjacente 0 0
## 1401 Rural Adjacente 0 0
## 1402 Rural Adjacente 0 0
## 1403 Rural Adjacente 0 0
## 1404 Rural Adjacente 0 0
## 1405 Rural Adjacente 0 0
## 1406 Urbano 0 0
## 1407 Rural Adjacente 0 0
## 1408 Rural Adjacente 0 0
## 1409 Rural Adjacente 0 0
## 1410 Rural Adjacente 0 0
## 1411 Rural Adjacente 0 0
## 1412 Rural Adjacente 0 0
## 1413 Urbano 0 0
## 1414 Rural Adjacente 0 0
## 1415 Rural Adjacente 0 0
## 1416 Rural Adjacente 0 0
## 1417 Urbano 0 0
## 1418 Rural Adjacente 0 0
## 1419 Rural Adjacente 0 0
## 1420 Urbano 0 0
## 1421 Rural Adjacente 0 0
## 1422 Rural Adjacente 0 0
## 1423 Rural Adjacente 0 0
## 1424 Rural Adjacente 0 0
## 1425 Rural Adjacente 0 0
## 1426 Rural Adjacente 0 0
## 1427 Rural Adjacente 0 0
## 1428 Rural Adjacente 0 0
## 1429 Rural Adjacente 0 0
## 1430 Rural Adjacente 0 0
## 1431 Rural Adjacente 0 0
## 1432 Rural Adjacente 0 0
## 1433 Rural Adjacente 0 0
## 1434 Rural Adjacente 0 0
## 1435 Rural Adjacente 0 0
## 1436 Rural Adjacente 0 0
## 1437 Intermediário Adjacente 0 1
## 1438 Rural Adjacente 0 0
## 1439 Rural Adjacente 0 0
## 1440 Rural Adjacente 0 0
## 1441 Urbano 0 0
## 1442 Rural Adjacente 0 0
## 1443 Rural Adjacente 0 0
## 1444 Rural Adjacente 0 0
## 1445 Rural Adjacente 0 0
## 1446 Rural Adjacente 0 0
## 1447 Rural Adjacente 0 0
## 1448 Rural Adjacente 0 0
## 1449 Rural Adjacente 0 0
## 1450 Urbano 0 0
## 1451 Rural Adjacente 0 0
## 1452 Rural Adjacente 0 0
## 1453 Urbano 0 0
## 1454 Intermediário Adjacente 0 1
## 1455 Rural Adjacente 0 0
## 1456 Rural Adjacente 0 0
## 1457 Rural Adjacente 0 0
## 1458 Rural Adjacente 0 0
## 1459 Rural Adjacente 0 0
## 1460 Rural Adjacente 0 0
## 1461 Intermediário Adjacente 0 1
## 1462 Rural Adjacente 0 0
## 1463 Rural Adjacente 0 0
## 1464 Rural Adjacente 0 0
## 1465 Rural Adjacente 0 0
## 1466 Urbano 0 0
## 1467 Urbano 0 0
## 1468 Rural Adjacente 0 0
## 1469 Intermediário Adjacente 0 1
## 1470 Intermediário Adjacente 0 1
## 1471 Intermediário Adjacente 0 1
## 1472 Rural Adjacente 0 0
## 1473 Intermediário Adjacente 0 1
## 1474 Intermediário Adjacente 0 1
## 1475 Urbano 0 0
## 1476 Rural Adjacente 0 0
## 1477 Urbano 0 0
## 1478 Intermediário Adjacente 0 1
## 1479 Urbano 0 0
## 1480 Urbano 0 0
## 1481 Urbano 0 0
## 1482 Intermediário Adjacente 0 1
## 1483 Intermediário Adjacente 0 1
## 1484 Urbano 0 0
## 1485 Rural Adjacente 0 0
## 1486 Urbano 0 0
## 1487 Rural Adjacente 0 0
## 1488 Urbano 0 0
## 1489 Rural Adjacente 0 0
## 1490 Intermediário Adjacente 0 1
## 1491 Rural Adjacente 0 0
## 1492 Rural Adjacente 0 0
## 1493 Urbano 0 0
## 1494 Rural Adjacente 0 0
## 1495 Rural Adjacente 0 0
## 1496 Urbano 0 0
## 1497 Intermediário Adjacente 0 1
## 1498 Urbano 0 0
## 1499 Rural Adjacente 0 0
## 1500 Rural Adjacente 0 0
## 1501 Rural Adjacente 0 0
## 1502 Urbano 0 0
## 1503 Urbano 0 0
## 1504 Urbano 0 0
## 1505 Rural Adjacente 0 0
## 1506 Rural Adjacente 0 0
## 1507 Rural Adjacente 0 0
## 1508 Rural Adjacente 0 0
## 1509 Urbano 0 0
## 1510 Urbano 0 0
## 1511 Rural Adjacente 0 0
## 1512 Urbano 0 0
## 1513 Rural Adjacente 0 0
## 1514 Intermediário Adjacente 0 1
## 1515 Intermediário Adjacente 0 1
## 1516 Urbano 0 0
## 1517 Rural Adjacente 0 0
## 1518 Rural Adjacente 0 0
## 1519 Rural Adjacente 0 0
## 1520 Urbano 0 0
## 1521 Intermediário Adjacente 0 1
## 1522 Rural Adjacente 0 0
## 1523 Urbano 0 0
## 1524 Rural Adjacente 0 0
## 1525 Urbano 0 0
## 1526 Rural Remoto 0 0
## 1527 Intermediário Adjacente 0 1
## 1528 Rural Adjacente 0 0
## 1529 Intermediário Adjacente 0 1
## 1530 Rural Adjacente 0 0
## 1531 Intermediário Adjacente 0 1
## 1532 Urbano 0 0
## 1533 Intermediário Adjacente 0 1
## 1534 Urbano 0 0
## 1535 Rural Adjacente 0 0
## 1536 Urbano 0 0
## 1537 Rural Adjacente 0 0
## 1538 Intermediário Adjacente 0 1
## 1539 Rural Adjacente 0 0
## 1540 Urbano 0 0
## 1541 Rural Adjacente 0 0
## 1542 Rural Adjacente 0 0
## 1543 Rural Adjacente 0 0
## 1544 Urbano 0 0
## 1545 Intermediário Adjacente 0 1
## 1546 Intermediário Remoto 0 0
## 1547 Rural Adjacente 0 0
## 1548 Urbano 0 0
## 1549 Urbano 0 0
## 1550 Rural Adjacente 0 0
## 1551 Urbano 0 0
## 1552 Urbano 0 0
## 1553 Urbano 0 0
## 1554 Rural Adjacente 0 0
## 1555 Rural Adjacente 0 0
## 1556 Rural Adjacente 0 0
## 1557 Intermediário Adjacente 0 1
## 1558 Urbano 0 0
## 1559 Rural Adjacente 0 0
## 1560 Rural Adjacente 0 0
## 1561 Rural Adjacente 0 0
## 1562 Intermediário Adjacente 0 1
## 1563 Urbano 0 0
## 1564 Rural Adjacente 0 0
## 1565 Rural Adjacente 0 0
## 1566 Intermediário Adjacente 0 1
## 1567 Urbano 0 0
## 1568 Urbano 0 0
## 1569 Intermediário Adjacente 0 1
## 1570 Rural Adjacente 0 0
## 1571 Rural Adjacente 0 0
## 1572 Rural Adjacente 0 0
## 1573 Rural Adjacente 0 0
## 1574 Urbano 0 0
## 1575 Urbano 0 0
## 1576 Urbano 0 0
## 1577 Rural Adjacente 0 0
## 1578 Rural Adjacente 0 0
## 1579 Intermediário Adjacente 0 1
## 1580 Urbano 0 0
## 1581 Rural Adjacente 0 0
## 1582 Rural Adjacente 0 0
## 1583 Rural Adjacente 0 0
## 1584 Rural Adjacente 0 0
## 1585 Rural Adjacente 0 0
## 1586 Urbano 0 0
## 1587 Urbano 0 0
## 1588 Rural Adjacente 0 0
## 1589 Urbano 0 0
## 1590 Intermediário Adjacente 0 1
## 1591 Urbano 0 0
## 1592 Rural Adjacente 0 0
## 1593 Intermediário Adjacente 0 1
## 1594 Rural Adjacente 0 0
## 1595 Rural Adjacente 0 0
## 1596 Rural Adjacente 0 0
## 1597 Urbano 0 0
## 1598 Rural Adjacente 0 0
## 1599 Urbano 0 0
## 1600 Intermediário Adjacente 0 1
## 1601 Rural Adjacente 0 0
## 1602 Rural Adjacente 0 0
## 1603 Urbano 0 0
## 1604 Rural Adjacente 0 0
## 1605 Rural Adjacente 0 0
## 1606 Rural Adjacente 0 0
## 1607 Rural Adjacente 0 0
## 1608 Urbano 0 0
## 1609 Rural Adjacente 0 0
## 1610 Rural Adjacente 0 0
## 1611 Rural Adjacente 0 0
## 1612 Rural Adjacente 0 0
## 1613 Rural Adjacente 0 0
## 1614 Intermediário Adjacente 0 1
## 1615 Intermediário Adjacente 0 1
## 1616 Rural Adjacente 0 0
## 1617 Intermediário Adjacente 0 1
## 1618 Urbano 0 0
## 1619 Rural Adjacente 0 0
## 1620 Intermediário Adjacente 0 1
## 1621 Urbano 0 0
## 1622 Intermediário Adjacente 0 1
## 1623 Urbano 0 0
## 1624 Rural Adjacente 0 0
## 1625 Intermediário Adjacente 0 1
## 1626 Intermediário Adjacente 0 1
## 1627 Rural Adjacente 0 0
## 1628 Rural Adjacente 0 0
## 1629 Urbano 0 0
## 1630 Intermediário Adjacente 0 1
## 1631 Rural Adjacente 0 0
## 1632 Rural Adjacente 0 0
## 1633 Intermediário Adjacente 0 1
## 1634 Intermediário Adjacente 0 1
## 1635 Rural Adjacente 0 0
## 1636 Rural Adjacente 0 0
## 1637 Urbano 0 0
## 1638 Urbano 0 0
## 1639 Urbano 0 0
## 1640 Urbano 0 0
## 1641 Rural Adjacente 0 0
## 1642 Rural Adjacente 0 0
## 1643 Rural Adjacente 0 0
## 1644 Rural Adjacente 0 0
## 1645 Rural Adjacente 0 0
## 1646 Rural Adjacente 0 0
## 1647 Rural Adjacente 0 0
## 1648 Intermediário Adjacente 0 1
## 1649 Urbano 0 0
## 1650 Rural Adjacente 0 0
## 1651 Rural Adjacente 0 0
## 1652 Intermediário Adjacente 0 1
## 1653 Urbano 0 0
## 1654 Urbano 0 0
## 1655 Urbano 0 0
## 1656 Rural Adjacente 0 0
## 1657 Intermediário Adjacente 0 1
## 1658 Rural Adjacente 0 0
## 1659 Rural Adjacente 0 0
## 1660 Urbano 0 0
## 1661 Rural Adjacente 0 0
## 1662 Rural Adjacente 0 0
## 1663 Urbano 0 0
## 1664 Rural Adjacente 0 0
## 1665 Urbano 0 0
## 1666 Rural Adjacente 0 0
## 1667 Rural Adjacente 0 0
## 1668 Intermediário Adjacente 0 1
## 1669 Rural Adjacente 0 0
## 1670 Rural Adjacente 0 0
## 1671 Rural Adjacente 0 0
## 1672 Urbano 0 0
## 1673 Urbano 0 0
## 1674 Urbano 0 0
## 1675 Rural Adjacente 0 0
## 1676 Urbano 0 0
## 1677 Rural Adjacente 0 0
## 1678 Rural Adjacente 0 0
## 1679 Rural Adjacente 0 0
## 1680 Intermediário Adjacente 0 1
## 1681 Urbano 0 0
## 1682 Rural Adjacente 0 0
## 1683 Rural Adjacente 0 0
## 1684 Rural Adjacente 0 0
## 1685 Rural Adjacente 0 0
## 1686 Rural Adjacente 0 0
## 1687 Rural Adjacente 0 0
## 1688 Rural Adjacente 0 0
## 1689 Rural Adjacente 0 0
## 1690 Rural Adjacente 0 0
## 1691 Rural Adjacente 0 0
## 1692 Rural Adjacente 0 0
## 1693 Rural Adjacente 0 0
## 1694 Rural Adjacente 0 0
## 1695 Rural Adjacente 0 0
## 1696 Rural Adjacente 0 0
## 1697 Urbano 0 0
## 1698 Rural Adjacente 0 0
## 1699 Urbano 0 0
## 1700 Rural Adjacente 0 0
## 1701 Urbano 0 0
## 1702 Rural Adjacente 0 0
## 1703 Rural Adjacente 0 0
## 1704 Rural Adjacente 0 0
## 1705 Urbano 0 0
## 1706 Urbano 0 0
## 1707 Rural Adjacente 0 0
## 1708 Rural Adjacente 0 0
## 1709 Urbano 0 0
## 1710 Rural Adjacente 0 0
## 1711 Intermediário Adjacente 0 1
## 1712 Rural Adjacente 0 0
## 1713 Rural Adjacente 0 0
## 1714 Rural Adjacente 0 0
## 1715 Rural Adjacente 0 0
## 1716 Rural Adjacente 0 0
## 1717 Urbano 0 0
## 1718 Rural Adjacente 0 0
## 1719 Rural Adjacente 0 0
## 1720 Urbano 0 0
## 1721 Rural Adjacente 0 0
## 1722 Rural Adjacente 0 0
## 1723 Urbano 0 0
## 1724 Rural Adjacente 0 0
## 1725 Urbano 0 0
## 1726 Rural Adjacente 0 0
## 1727 Intermediário Adjacente 0 1
## 1728 Rural Adjacente 0 0
## 1729 Urbano 0 0
## 1730 Rural Adjacente 0 0
## 1731 Rural Adjacente 0 0
## 1732 Rural Adjacente 0 0
## 1733 Urbano 0 0
## 1734 Intermediário Adjacente 0 1
## 1735 Urbano 0 0
## 1736 Urbano 0 0
## 1737 Rural Adjacente 0 0
## 1738 Rural Adjacente 0 0
## 1739 Intermediário Adjacente 0 1
## 1740 Rural Adjacente 0 0
## 1741 Intermediário Adjacente 0 1
## 1742 Urbano 0 0
## 1743 Rural Adjacente 0 0
## 1744 Rural Adjacente 0 0
## 1745 Urbano 0 0
## 1746 Rural Adjacente 0 0
## 1747 Rural Adjacente 0 0
## 1748 Rural Adjacente 0 0
## 1749 Urbano 0 0
## 1750 Rural Adjacente 0 0
## 1751 Urbano 0 0
## 1752 Urbano 0 0
## 1753 Rural Adjacente 0 0
## 1754 Intermediário Adjacente 0 1
## 1755 Urbano 0 0
## 1756 Rural Adjacente 0 0
## 1757 Rural Adjacente 0 0
## 1758 Urbano 0 0
## 1759 Intermediário Adjacente 0 1
## 1760 Rural Adjacente 0 0
## 1761 Rural Adjacente 0 0
## 1762 Rural Adjacente 0 0
## 1763 Intermediário Adjacente 0 1
## 1764 Intermediário Adjacente 0 1
## 1765 Rural Adjacente 0 0
## 1766 Urbano 0 0
## 1767 Intermediário Adjacente 0 1
## 1768 Rural Adjacente 0 0
## 1769 Rural Adjacente 0 0
## 1770 Urbano 0 0
## 1771 Urbano 0 0
## 1772 Rural Adjacente 0 0
## 1773 Rural Adjacente 0 0
## 1774 Rural Adjacente 0 0
## 1775 Urbano 0 0
## 1776 Rural Adjacente 0 0
## 1777 Rural Adjacente 0 0
## 1778 Rural Adjacente 0 0
## 1779 Urbano 0 0
## 1780 Rural Adjacente 0 0
## 1781 Rural Adjacente 0 0
## 1782 Rural Adjacente 0 0
## 1783 Rural Adjacente 0 0
## 1784 Rural Adjacente 0 0
## 1785 Urbano 0 0
## 1786 Urbano 0 0
## 1787 Rural Adjacente 0 0
## 1788 Rural Adjacente 0 0
## 1789 Rural Adjacente 0 0
## 1790 Urbano 0 0
## 1791 Rural Adjacente 0 0
## 1792 Rural Adjacente 0 0
## 1793 Rural Adjacente 0 0
## 1794 Urbano 0 0
## 1795 Rural Adjacente 0 0
## 1796 Intermediário Adjacente 0 1
## 1797 Intermediário Adjacente 0 1
## 1798 Rural Adjacente 0 0
## 1799 Urbano 0 0
## 1800 Rural Adjacente 0 0
## 1801 Rural Adjacente 0 0
## 1802 Rural Adjacente 0 0
## 1803 Rural Adjacente 0 0
## 1804 Rural Adjacente 0 0
## 1805 Rural Adjacente 0 0
## 1806 Intermediário Adjacente 0 1
## 1807 Rural Adjacente 0 0
## 1808 Urbano 0 0
## 1809 Rural Adjacente 0 0
## 1810 Urbano 0 0
## 1811 Intermediário Adjacente 0 1
## 1812 Urbano 0 0
## 1813 Rural Adjacente 0 0
## 1814 Rural Adjacente 0 0
## 1815 Rural Adjacente 0 0
## 1816 Rural Adjacente 0 0
## 1817 Rural Adjacente 0 0
## 1818 Urbano 0 0
## 1819 Rural Adjacente 0 0
## 1820 Rural Adjacente 0 0
## 1821 Rural Adjacente 0 0
## 1822 Intermediário Adjacente 0 1
## 1823 Urbano 0 0
## 1824 Rural Adjacente 0 0
## 1825 Urbano 0 0
## 1826 Rural Adjacente 0 0
## 1827 Intermediário Adjacente 0 1
## 1828 Rural Remoto 0 0
## 1829 Rural Remoto 0 0
## 1830 Rural Adjacente 0 0
## 1831 Rural Adjacente 0 0
## 1832 Rural Adjacente 0 0
## 1833 Rural Adjacente 0 0
## 1834 Rural Adjacente 0 0
## 1835 Urbano 0 0
## 1836 Rural Adjacente 0 0
## 1837 Intermediário Adjacente 0 1
## 1838 Intermediário Adjacente 0 1
## 1839 Intermediário Adjacente 0 1
## 1840 Rural Adjacente 0 0
## 1841 Rural Adjacente 0 0
## 1842 Rural Adjacente 0 0
## 1843 Rural Adjacente 0 0
## 1844 Rural Adjacente 0 0
## 1845 Rural Adjacente 0 0
## 1846 Rural Adjacente 0 0
## 1847 Rural Adjacente 0 0
## 1848 Rural Adjacente 0 0
## 1849 Rural Adjacente 0 0
## 1850 Rural Adjacente 0 0
## 1851 Rural Adjacente 0 0
## 1852 Rural Adjacente 0 0
## 1853 Rural Adjacente 0 0
## 1854 Rural Adjacente 0 0
## 1855 Rural Adjacente 0 0
## 1856 Rural Adjacente 0 0
## 1857 Intermediário Adjacente 0 1
## 1858 Rural Adjacente 0 0
## 1859 Rural Adjacente 0 0
## 1860 Rural Adjacente 0 0
## 1861 Rural Remoto 0 0
## 1862 Rural Adjacente 0 0
## 1863 Intermediário Adjacente 0 1
## 1864 Rural Adjacente 0 0
## 1865 Rural Adjacente 0 0
## 1866 Urbano 0 0
## 1867 Rural Adjacente 0 0
## 1868 Rural Adjacente 0 0
## 1869 Rural Adjacente 0 0
## 1870 Intermediário Adjacente 0 1
## 1871 Rural Adjacente 0 0
## 1872 Rural Adjacente 0 0
## 1873 Rural Adjacente 0 0
## 1874 Rural Adjacente 0 0
## 1875 Urbano 0 0
## 1876 Rural Adjacente 0 0
## 1877 Rural Remoto 0 0
## 1878 Rural Adjacente 0 0
## 1879 Rural Remoto 0 0
## 1880 Rural Adjacente 0 0
## 1881 Rural Adjacente 0 0
## 1882 Rural Adjacente 0 0
## 1883 Rural Remoto 0 0
## 1884 Urbano 0 0
## 1885 Intermediário Adjacente 0 1
## 1886 Rural Remoto 0 0
## 1887 Rural Adjacente 0 0
## 1888 Rural Adjacente 0 0
## 1889 Urbano 0 0
## 1890 Intermediário Adjacente 0 1
## 1891 Rural Adjacente 0 0
## 1892 Rural Adjacente 0 0
## 1893 Intermediário Adjacente 0 1
## 1894 Rural Adjacente 0 0
## 1895 Rural Adjacente 0 0
## 1896 Rural Adjacente 0 0
## 1897 Intermediário Adjacente 0 1
## 1898 Urbano 0 0
## 1899 Rural Adjacente 0 0
## 1900 Rural Adjacente 0 0
## 1901 Intermediário Adjacente 0 1
## 1902 Rural Adjacente 0 0
## 1903 Rural Adjacente 0 0
## 1904 Urbano 0 0
## 1905 Rural Adjacente 0 0
## 1906 Urbano 0 0
## 1907 Rural Adjacente 0 0
## 1908 Intermediário Adjacente 0 1
## 1909 Rural Adjacente 0 0
## 1910 Rural Adjacente 0 0
## 1911 Rural Adjacente 0 0
## 1912 Urbano 0 0
## 1913 Rural Adjacente 0 0
## 1914 Rural Adjacente 0 0
## 1915 Rural Adjacente 0 0
## 1916 Rural Adjacente 0 0
## 1917 Urbano 0 0
## 1918 Intermediário Adjacente 0 1
## 1919 Rural Adjacente 0 0
## 1920 Urbano 0 0
## 1921 Rural Remoto 0 0
## 1922 Rural Adjacente 0 0
## 1923 Rural Remoto 0 0
## 1924 Intermediário Adjacente 0 1
## 1925 Intermediário Adjacente 0 1
## 1926 Urbano 0 0
## 1927 Rural Remoto 0 0
## 1928 Intermediário Adjacente 0 1
## 1929 Rural Adjacente 0 0
## 1930 Urbano 0 0
## 1931 Urbano 0 0
## 1932 Rural Adjacente 0 0
## 1933 Rural Adjacente 0 0
## 1934 Rural Adjacente 0 0
## 1935 Rural Adjacente 0 0
## 1936 Rural Adjacente 0 0
## 1937 Rural Remoto 0 0
## 1938 Rural Adjacente 0 0
## 1939 Rural Adjacente 0 0
## 1940 Rural Adjacente 0 0
## 1941 Rural Adjacente 0 0
## 1942 Rural Adjacente 0 0
## 1943 Rural Adjacente 0 0
## 1944 Urbano 0 0
## 1945 Rural Adjacente 0 0
## 1946 Rural Adjacente 0 0
## 1947 Urbano 0 0
## 1948 Rural Adjacente 0 0
## 1949 Rural Adjacente 0 0
## 1950 Rural Adjacente 0 0
## 1951 Intermediário Adjacente 0 1
## 1952 Intermediário Adjacente 0 1
## 1953 Intermediário Adjacente 0 1
## 1954 Rural Adjacente 0 0
## 1955 Urbano 0 0
## 1956 Rural Adjacente 0 0
## 1957 Rural Remoto 0 0
## 1958 Urbano 0 0
## 1959 Rural Adjacente 0 0
## 1960 Rural Adjacente 0 0
## 1961 Rural Adjacente 0 0
## 1962 Intermediário Adjacente 0 1
## 1963 Urbano 0 0
## 1964 Rural Adjacente 0 0
## 1965 Rural Adjacente 0 0
## 1966 Rural Adjacente 0 0
## 1967 Rural Adjacente 0 0
## 1968 Urbano 0 0
## 1969 Rural Adjacente 0 0
## 1970 Urbano 0 0
## 1971 Rural Adjacente 0 0
## 1972 Rural Adjacente 0 0
## 1973 Intermediário Adjacente 0 1
## 1974 Rural Adjacente 0 0
## 1975 Intermediário Adjacente 0 1
## 1976 Rural Adjacente 0 0
## 1977 Rural Adjacente 0 0
## 1978 Rural Adjacente 0 0
## 1979 Rural Remoto 0 0
## 1980 Rural Adjacente 0 0
## 1981 Intermediário Adjacente 0 1
## 1982 Rural Adjacente 0 0
## 1983 Intermediário Adjacente 0 1
## 1984 Rural Remoto 0 0
## 1985 Rural Adjacente 0 0
## 1986 Intermediário Remoto 0 0
## 1987 Rural Adjacente 0 0
## 1988 Rural Adjacente 0 0
## 1989 Rural Adjacente 0 0
## 1990 Intermediário Adjacente 0 1
## 1991 Urbano 0 0
## 1992 Rural Adjacente 0 0
## 1993 Rural Adjacente 0 0
## 1994 Urbano 0 0
## 1995 Intermediário Adjacente 0 1
## 1996 Rural Remoto 0 0
## 1997 Rural Adjacente 0 0
## 1998 Rural Adjacente 0 0
## 1999 Rural Adjacente 0 0
## 2000 Rural Adjacente 0 0
## 2001 Urbano 0 0
## 2002 Urbano 0 0
## 2003 Urbano 0 0
## 2004 Urbano 0 0
## 2005 Rural Adjacente 0 0
## 2006 Rural Adjacente 0 0
## 2007 Intermediário Adjacente 0 1
## 2008 Intermediário Adjacente 0 1
## 2009 Intermediário Adjacente 0 1
## 2010 Rural Adjacente 0 0
## 2011 Rural Adjacente 0 0
## 2012 Intermediário Adjacente 0 1
## 2013 Urbano 0 0
## 2014 Intermediário Adjacente 0 1
## 2015 Urbano 0 0
## 2016 Rural Adjacente 0 0
## 2017 Intermediário Adjacente 0 1
## 2018 Urbano 0 0
## 2019 Rural Adjacente 0 0
## 2020 Rural Adjacente 0 0
## 2021 Urbano 0 0
## 2022 Rural Adjacente 0 0
## 2023 Intermediário Adjacente 0 1
## 2024 Rural Adjacente 0 0
## 2025 Urbano 0 0
## 2026 Intermediário Adjacente 0 1
## 2027 Intermediário Adjacente 0 1
## 2028 Rural Adjacente 0 0
## 2029 Urbano 0 0
## 2030 Rural Adjacente 0 0
## 2031 Intermediário Adjacente 0 1
## 2032 Rural Adjacente 0 0
## 2033 Rural Adjacente 0 0
## 2034 Rural Adjacente 0 0
## 2035 Urbano 0 0
## 2036 Urbano 0 0
## 2037 Rural Adjacente 0 0
## 2038 Rural Adjacente 0 0
## 2039 Rural Adjacente 0 0
## 2040 Urbano 0 0
## 2041 Rural Adjacente 0 0
## 2042 Rural Adjacente 0 0
## 2043 Rural Adjacente 0 0
## 2044 Intermediário Adjacente 0 1
## 2045 Urbano 0 0
## 2046 Rural Adjacente 0 0
## 2047 Rural Adjacente 0 0
## 2048 Rural Adjacente 0 0
## 2049 Rural Adjacente 0 0
## 2050 Rural Adjacente 0 0
## 2051 Rural Adjacente 0 0
## 2052 Rural Adjacente 0 0
## 2053 Rural Adjacente 0 0
## 2054 Rural Adjacente 0 0
## 2055 Rural Adjacente 0 0
## 2056 Rural Adjacente 0 0
## 2057 Intermediário Adjacente 0 1
## 2058 Urbano 0 0
## 2059 Rural Adjacente 0 0
## 2060 Rural Adjacente 0 0
## 2061 Rural Adjacente 0 0
## 2062 Urbano 0 0
## 2063 Rural Adjacente 0 0
## 2064 Urbano 0 0
## 2065 Rural Remoto 0 0
## 2066 Rural Remoto 0 0
## 2067 Urbano 0 0
## 2068 Rural Adjacente 0 0
## 2069 Rural Adjacente 0 0
## 2070 Rural Adjacente 0 0
## 2071 Rural Adjacente 0 0
## 2072 Rural Adjacente 0 0
## 2073 Rural Adjacente 0 0
## 2074 Rural Remoto 0 0
## 2075 Intermediário Adjacente 0 1
## 2076 Intermediário Adjacente 0 1
## 2077 Rural Adjacente 0 0
## 2078 Rural Adjacente 0 0
## 2079 Rural Adjacente 0 0
## 2080 Urbano 0 0
## 2081 Rural Adjacente 0 0
## 2082 Intermediário Adjacente 0 1
## 2083 Intermediário Adjacente 0 1
## 2084 Rural Adjacente 0 0
## 2085 Rural Adjacente 0 0
## 2086 Rural Adjacente 0 0
## 2087 Rural Adjacente 0 0
## 2088 Rural Remoto 0 0
## 2089 Rural Adjacente 0 0
## 2090 Rural Adjacente 0 0
## 2091 Rural Adjacente 0 0
## 2092 Intermediário Adjacente 0 1
## 2093 Rural Adjacente 0 0
## 2094 Rural Adjacente 0 0
## 2095 Rural Adjacente 0 0
## 2096 Rural Adjacente 0 0
## 2097 Urbano 0 0
## 2098 Rural Adjacente 0 0
## 2099 Urbano 0 0
## 2100 Rural Adjacente 0 0
## 2101 Rural Adjacente 0 0
## 2102 Rural Adjacente 0 0
## 2103 Rural Adjacente 0 0
## 2104 Rural Adjacente 0 0
## 2105 Rural Adjacente 0 0
## 2106 Rural Adjacente 0 0
## 2107 Rural Adjacente 0 0
## 2108 Urbano 0 0
## 2109 Rural Remoto 0 0
## 2110 Rural Adjacente 0 0
## 2111 Intermediário Adjacente 0 1
## 2112 Rural Remoto 0 0
## 2113 Rural Adjacente 0 0
## 2114 Rural Adjacente 0 0
## 2115 Rural Adjacente 0 0
## 2116 Rural Adjacente 0 0
## 2117 Rural Adjacente 0 0
## 2118 Rural Adjacente 0 0
## 2119 Rural Adjacente 0 0
## 2120 Rural Adjacente 0 0
## 2121 Urbano 0 0
## 2122 Rural Adjacente 0 0
## 2123 Rural Adjacente 0 0
## 2124 Rural Adjacente 0 0
## 2125 Rural Remoto 0 0
## 2126 Rural Remoto 0 0
## 2127 Rural Adjacente 0 0
## 2128 Intermediário Adjacente 0 1
## 2129 Rural Adjacente 0 0
## 2130 Rural Adjacente 0 0
## 2131 Rural Adjacente 0 0
## 2132 Intermediário Adjacente 0 1
## 2133 Rural Adjacente 0 0
## 2134 Rural Adjacente 0 0
## 2135 Urbano 0 0
## 2136 Urbano 0 0
## 2137 Rural Adjacente 0 0
## 2138 Urbano 0 0
## 2139 Rural Adjacente 0 0
## 2140 Rural Adjacente 0 0
## 2141 Rural Adjacente 0 0
## 2142 Rural Adjacente 0 0
## 2143 Rural Adjacente 0 0
## 2144 Rural Adjacente 0 0
## 2145 Rural Adjacente 0 0
## 2146 Rural Adjacente 0 0
## 2147 Rural Adjacente 0 0
## 2148 Intermediário Adjacente 0 1
## 2149 Rural Adjacente 0 0
## 2150 Rural Adjacente 0 0
## 2151 Intermediário Adjacente 0 1
## 2152 Rural Adjacente 0 0
## 2153 Rural Adjacente 0 0
## 2154 Urbano 0 0
## 2155 Rural Adjacente 0 0
## 2156 Rural Adjacente 0 0
## 2157 Rural Adjacente 0 0
## 2158 Rural Remoto 0 0
## 2159 Intermediário Adjacente 0 1
## 2160 Intermediário Adjacente 0 1
## 2161 Intermediário Adjacente 0 1
## 2162 Rural Adjacente 0 0
## 2163 Urbano 0 0
## 2164 Rural Adjacente 0 0
## 2165 Rural Adjacente 0 0
## 2166 Intermediário Adjacente 0 1
## 2167 Intermediário Adjacente 0 1
## 2168 Intermediário Adjacente 0 1
## 2169 Intermediário Adjacente 0 1
## 2170 Rural Adjacente 0 0
## 2171 Urbano 0 0
## 2172 Rural Adjacente 0 0
## 2173 Rural Adjacente 0 0
## 2174 Intermediário Adjacente 0 1
## 2175 Rural Adjacente 0 0
## 2176 Urbano 0 0
## 2177 Urbano 0 0
## 2178 Intermediário Adjacente 0 1
## 2179 Rural Adjacente 0 0
## 2180 Rural Adjacente 0 0
## 2181 Urbano 0 0
## 2182 Urbano 0 0
## 2183 Rural Adjacente 0 0
## 2184 Urbano 0 0
## 2185 Rural Adjacente 0 0
## 2186 Intermediário Adjacente 0 1
## 2187 Rural Adjacente 0 0
## 2188 Rural Adjacente 0 0
## 2189 Rural Adjacente 0 0
## 2190 Urbano 0 0
## 2191 Rural Adjacente 0 0
## 2192 Rural Adjacente 0 0
## 2193 Rural Adjacente 0 0
## 2194 Rural Adjacente 0 0
## 2195 Rural Adjacente 0 0
## 2196 Rural Adjacente 0 0
## 2197 Urbano 0 0
## 2198 Rural Adjacente 0 0
## 2199 Rural Adjacente 0 0
## 2200 Rural Adjacente 0 0
## 2201 Rural Adjacente 0 0
## 2202 Urbano 0 0
## 2203 Rural Adjacente 0 0
## 2204 Urbano 0 0
## 2205 Rural Adjacente 0 0
## 2206 Rural Adjacente 0 0
## 2207 Urbano 0 0
## 2208 Rural Adjacente 0 0
## 2209 Rural Adjacente 0 0
## 2210 Rural Adjacente 0 0
## 2211 Rural Adjacente 0 0
## 2212 Rural Adjacente 0 0
## 2213 Rural Adjacente 0 0
## 2214 Intermediário Adjacente 0 1
## 2215 Urbano 0 0
## 2216 Rural Adjacente 0 0
## 2217 Rural Adjacente 0 0
## 2218 Rural Adjacente 0 0
## 2219 Rural Adjacente 0 0
## 2220 Rural Adjacente 0 0
## 2221 Rural Adjacente 0 0
## 2222 Rural Adjacente 0 0
## 2223 Rural Adjacente 0 0
## 2224 Intermediário Adjacente 0 1
## 2225 Intermediário Adjacente 0 1
## 2226 Rural Adjacente 0 0
## 2227 Rural Adjacente 0 0
## 2228 Rural Adjacente 0 0
## 2229 Rural Adjacente 0 0
## 2230 Intermediário Adjacente 0 1
## 2231 Intermediário Adjacente 0 1
## 2232 Urbano 0 0
## 2233 Intermediário Adjacente 0 1
## 2234 Rural Adjacente 0 0
## 2235 Rural Adjacente 0 0
## 2236 Rural Adjacente 0 0
## 2237 Rural Adjacente 0 0
## 2238 Urbano 0 0
## 2239 Rural Adjacente 0 0
## 2240 Urbano 0 0
## 2241 Rural Adjacente 0 0
## 2242 Rural Adjacente 0 0
## 2243 Rural Adjacente 0 0
## 2244 Urbano 0 0
## 2245 Rural Adjacente 0 0
## 2246 Urbano 0 0
## 2247 Rural Adjacente 0 0
## 2248 Rural Adjacente 0 0
## 2249 Rural Adjacente 0 0
## 2250 Rural Adjacente 0 0
## 2251 Rural Adjacente 0 0
## 2252 Rural Adjacente 0 0
## 2253 Intermediário Adjacente 0 1
## 2254 Rural Adjacente 0 0
## 2255 Intermediário Adjacente 0 1
## 2256 Rural Adjacente 0 0
## 2257 Rural Adjacente 0 0
## 2258 Rural Adjacente 0 0
## 2259 Urbano 0 0
## 2260 Urbano 0 0
## 2261 Urbano 0 0
## 2262 Urbano 0 0
## 2263 Rural Adjacente 0 0
## 2264 Urbano 0 0
## 2265 Rural Adjacente 0 0
## 2266 Rural Adjacente 0 0
## 2267 Rural Adjacente 0 0
## 2268 Rural Adjacente 0 0
## 2269 Rural Adjacente 0 0
## 2270 Rural Adjacente 0 0
## 2271 Rural Adjacente 0 0
## 2272 Urbano 0 0
## 2273 Rural Adjacente 0 0
## 2274 Intermediário Adjacente 0 1
## 2275 Rural Adjacente 0 0
## 2276 Urbano 0 0
## 2277 Rural Adjacente 0 0
## 2278 Rural Adjacente 0 0
## 2279 Rural Adjacente 0 0
## 2280 Rural Adjacente 0 0
## 2281 Intermediário Adjacente 0 1
## 2282 Urbano 0 0
## 2283 Rural Adjacente 0 0
## 2284 Rural Adjacente 0 0
## 2285 Urbano 0 0
## 2286 Rural Adjacente 0 0
## 2287 Intermediário Adjacente 0 1
## 2288 Urbano 0 0
## 2289 Intermediário Adjacente 0 1
## 2290 Urbano 0 0
## 2291 Urbano 0 0
## 2292 Rural Adjacente 0 0
## 2293 Rural Adjacente 0 0
## 2294 Rural Adjacente 0 0
## 2295 Rural Adjacente 0 0
## 2296 Rural Adjacente 0 0
## 2297 Rural Adjacente 0 0
## 2298 Urbano 0 0
## 2299 Rural Adjacente 0 0
## 2300 Urbano 0 0
## 2301 Rural Adjacente 0 0
## 2302 Intermediário Adjacente 0 1
## 2303 Urbano 0 0
## 2304 Rural Adjacente 0 0
## 2305 Urbano 0 0
## 2306 Rural Adjacente 0 0
## 2307 Urbano 0 0
## 2308 Urbano 0 0
## 2309 Rural Adjacente 0 0
## 2310 Urbano 0 0
## 2311 Urbano 0 0
## 2312 Rural Adjacente 0 0
## 2313 Rural Remoto 0 0
## 2314 Rural Adjacente 0 0
## 2315 Rural Adjacente 0 0
## 2316 Urbano 0 0
## 2317 Rural Adjacente 0 0
## 2318 Urbano 0 0
## 2319 Rural Adjacente 0 0
## 2320 Urbano 0 0
## 2321 Rural Adjacente 0 0
## 2322 Urbano 0 0
## 2323 Urbano 0 0
## 2324 Intermediário Adjacente 0 1
## 2325 Rural Adjacente 0 0
## 2326 Rural Adjacente 0 0
## 2327 Rural Adjacente 0 0
## 2328 Rural Adjacente 0 0
## 2329 Urbano 0 0
## 2330 Rural Adjacente 0 0
## 2331 Rural Adjacente 0 0
## 2332 Rural Remoto 0 0
## 2333 Intermediário Adjacente 0 1
## 2334 Rural Adjacente 0 0
## 2335 Rural Adjacente 0 0
## 2336 Urbano 0 0
## 2337 Intermediário Adjacente 0 1
## 2338 Rural Adjacente 0 0
## 2339 Rural Adjacente 0 0
## 2340 Rural Adjacente 0 0
## 2341 Urbano 0 0
## 2342 Rural Adjacente 0 0
## 2343 Rural Adjacente 0 0
## 2344 Urbano 0 0
## 2345 Intermediário Adjacente 0 1
## 2346 Urbano 0 0
## 2347 Rural Adjacente 0 0
## 2348 Rural Adjacente 0 0
## 2349 Rural Adjacente 0 0
## 2350 Rural Adjacente 0 0
## 2351 Rural Adjacente 0 0
## 2352 Urbano 0 0
## 2353 Urbano 0 0
## 2354 Rural Adjacente 0 0
## 2355 Rural Adjacente 0 0
## 2356 Rural Adjacente 0 0
## 2357 Rural Adjacente 0 0
## 2358 Intermediário Adjacente 0 1
## 2359 Intermediário Adjacente 0 1
## 2360 Rural Adjacente 0 0
## 2361 Rural Adjacente 0 0
## 2362 Intermediário Adjacente 0 1
## 2363 Intermediário Adjacente 0 1
## 2364 Intermediário Adjacente 0 1
## 2365 Rural Adjacente 0 0
## 2366 Urbano 0 0
## 2367 Intermediário Adjacente 0 1
## 2368 Rural Adjacente 0 0
## 2369 Urbano 0 0
## 2370 Intermediário Adjacente 0 1
## 2371 Rural Adjacente 0 0
## 2372 Urbano 0 0
## 2373 Rural Adjacente 0 0
## 2374 Rural Adjacente 0 0
## 2375 Rural Adjacente 0 0
## 2376 Rural Adjacente 0 0
## 2377 Rural Adjacente 0 0
## 2378 Intermediário Adjacente 0 1
## 2379 Rural Adjacente 0 0
## 2380 Urbano 0 0
## 2381 Urbano 0 0
## 2382 Rural Adjacente 0 0
## 2383 Rural Adjacente 0 0
## 2384 Rural Adjacente 0 0
## 2385 Rural Adjacente 0 0
## 2386 Rural Adjacente 0 0
## 2387 Rural Adjacente 0 0
## 2388 Intermediário Adjacente 0 1
## 2389 Intermediário Adjacente 0 1
## 2390 Urbano 0 0
## 2391 Rural Adjacente 0 0
## 2392 Rural Adjacente 0 0
## 2393 Intermediário Adjacente 0 1
## 2394 Rural Adjacente 0 0
## 2395 Rural Adjacente 0 0
## 2396 Rural Adjacente 0 0
## 2397 Rural Adjacente 0 0
## 2398 Intermediário Adjacente 0 1
## 2399 Urbano 0 0
## 2400 Intermediário Adjacente 0 1
## 2401 Intermediário Adjacente 0 1
## 2402 Rural Remoto 0 0
## 2403 Rural Adjacente 0 0
## 2404 Rural Adjacente 0 0
## 2405 Rural Adjacente 0 0
## 2406 Rural Adjacente 0 0
## 2407 Rural Adjacente 0 0
## 2408 Urbano 0 0
## 2409 Rural Adjacente 0 0
## 2410 Urbano 0 0
## 2411 Rural Adjacente 0 0
## 2412 Rural Adjacente 0 0
## 2413 Rural Adjacente 0 0
## 2414 Rural Adjacente 0 0
## 2415 Urbano 0 0
## 2416 Rural Adjacente 0 0
## 2417 Rural Adjacente 0 0
## 2418 Intermediário Adjacente 0 1
## 2419 Urbano 0 0
## 2420 Rural Adjacente 0 0
## 2421 Rural Adjacente 0 0
## 2422 Rural Adjacente 0 0
## 2423 Urbano 0 0
## 2424 Rural Adjacente 0 0
## 2425 Urbano 0 0
## 2426 Rural Adjacente 0 0
## 2427 Urbano 0 0
## 2428 Rural Adjacente 0 0
## 2429 Rural Adjacente 0 0
## 2430 Rural Adjacente 0 0
## 2431 Rural Remoto 0 0
## 2432 Rural Adjacente 0 0
## 2433 Rural Adjacente 0 0
## 2434 Urbano 0 0
## 2435 Rural Adjacente 0 0
## 2436 Rural Adjacente 0 0
## 2437 Rural Adjacente 0 0
## 2438 Urbano 0 0
## 2439 Intermediário Adjacente 0 1
## 2440 Rural Remoto 0 0
## 2441 Urbano 0 0
## 2442 Intermediário Adjacente 0 1
## 2443 Urbano 0 0
## 2444 Rural Adjacente 0 0
## 2445 Rural Adjacente 0 0
## 2446 Urbano 0 0
## 2447 Intermediário Adjacente 0 1
## 2448 Rural Adjacente 0 0
## 2449 Urbano 0 0
## 2450 Rural Adjacente 0 0
## 2451 Rural Adjacente 0 0
## 2452 Rural Adjacente 0 0
## 2453 Rural Adjacente 0 0
## 2454 Urbano 0 0
## 2455 Rural Adjacente 0 0
## 2456 Intermediário Adjacente 0 1
## 2457 Urbano 0 0
## 2458 Rural Remoto 0 0
## 2459 Rural Adjacente 0 0
## 2460 Urbano 0 0
## 2461 Rural Adjacente 0 0
## 2462 Intermediário Adjacente 0 1
## 2463 Rural Adjacente 0 0
## 2464 Rural Adjacente 0 0
## 2465 Rural Adjacente 0 0
## 2466 Rural Adjacente 0 0
## 2467 Intermediário Adjacente 0 1
## 2468 Rural Adjacente 0 0
## 2469 Rural Adjacente 0 0
## 2470 Rural Adjacente 0 0
## 2471 Rural Adjacente 0 0
## 2472 Rural Adjacente 0 0
## 2473 Urbano 0 0
## 2474 Rural Adjacente 0 0
## 2475 Rural Adjacente 0 0
## 2476 Urbano 0 0
## 2477 Rural Adjacente 0 0
## 2478 Rural Adjacente 0 0
## 2479 Rural Adjacente 0 0
## 2480 Intermediário Adjacente 0 1
## 2481 Intermediário Adjacente 0 1
## 2482 Rural Adjacente 0 0
## 2483 Rural Adjacente 0 0
## 2484 Urbano 0 0
## 2485 Rural Adjacente 0 0
## 2486 Rural Adjacente 0 0
## 2487 Rural Adjacente 0 0
## 2488 Rural Adjacente 0 0
## 2489 Rural Adjacente 0 0
## 2490 Rural Adjacente 0 0
## 2491 Urbano 0 0
## 2492 Intermediário Adjacente 0 1
## 2493 Intermediário Adjacente 0 1
## 2494 Rural Adjacente 0 0
## 2495 Rural Adjacente 0 0
## 2496 Intermediário Adjacente 0 1
## 2497 Rural Adjacente 0 0
## 2498 Rural Adjacente 0 0
## 2499 Rural Adjacente 0 0
## 2500 Intermediário Adjacente 0 1
## 2501 Intermediário Adjacente 0 1
## 2502 Rural Adjacente 0 0
## 2503 Urbano 0 0
## 2504 Rural Adjacente 0 0
## 2505 Rural Adjacente 0 0
## 2506 Rural Adjacente 0 0
## 2507 Rural Adjacente 0 0
## 2508 Urbano 0 0
## 2509 Rural Adjacente 0 0
## 2510 Rural Adjacente 0 0
## 2511 Rural Adjacente 0 0
## 2512 Rural Adjacente 0 0
## 2513 Rural Adjacente 0 0
## 2514 Urbano 0 0
## 2515 Intermediário Adjacente 0 1
## 2516 Intermediário Adjacente 0 1
## 2517 Rural Adjacente 0 0
## 2518 Rural Adjacente 0 0
## 2519 Rural Adjacente 0 0
## 2520 Rural Adjacente 0 0
## 2521 Rural Adjacente 0 0
## 2522 Rural Adjacente 0 0
## 2523 Urbano 0 0
## 2524 Intermediário Adjacente 0 1
## 2525 Rural Adjacente 0 0
## 2526 Rural Adjacente 0 0
## 2527 Rural Adjacente 0 0
## 2528 Rural Adjacente 0 0
## 2529 Intermediário Remoto 0 0
## 2530 Rural Adjacente 0 0
## 2531 Rural Adjacente 0 0
## 2532 Rural Adjacente 0 0
## 2533 Rural Adjacente 0 0
## 2534 Rural Adjacente 0 0
## 2535 Urbano 0 0
## 2536 Rural Adjacente 0 0
## 2537 Urbano 0 0
## 2538 Rural Adjacente 0 0
## 2539 Rural Remoto 0 0
## 2540 Rural Adjacente 0 0
## 2541 Intermediário Adjacente 0 1
## 2542 Rural Adjacente 0 0
## 2543 Rural Adjacente 0 0
## 2544 Intermediário Adjacente 0 1
## 2545 Rural Adjacente 0 0
## 2546 Urbano 0 0
## 2547 Rural Adjacente 0 0
## 2548 Rural Adjacente 0 0
## 2549 Urbano 0 0
## 2550 Rural Adjacente 0 0
## 2551 Rural Adjacente 0 0
## 2552 Rural Remoto 0 0
## 2553 Rural Adjacente 0 0
## 2554 Rural Adjacente 0 0
## 2555 Rural Adjacente 0 0
## 2556 Rural Adjacente 0 0
## 2557 Rural Adjacente 0 0
## 2558 Rural Adjacente 0 0
## 2559 Urbano 0 0
## 2560 Rural Adjacente 0 0
## 2561 Rural Adjacente 0 0
## 2562 Intermediário Adjacente 0 1
## 2563 Rural Adjacente 0 0
## 2564 Rural Adjacente 0 0
## 2565 Rural Adjacente 0 0
## 2566 Urbano 0 0
## 2567 Rural Adjacente 0 0
## 2568 Urbano 0 0
## 2569 Rural Adjacente 0 0
## 2570 Urbano 0 0
## 2571 Rural Adjacente 0 0
## 2572 Intermediário Adjacente 0 1
## 2573 Rural Adjacente 0 0
## 2574 Rural Adjacente 0 0
## 2575 Rural Adjacente 0 0
## 2576 Rural Adjacente 0 0
## 2577 Rural Adjacente 0 0
## 2578 Urbano 0 0
## 2579 Rural Adjacente 0 0
## 2580 Rural Adjacente 0 0
## 2581 Rural Adjacente 0 0
## 2582 Urbano 0 0
## 2583 Rural Adjacente 0 0
## 2584 Rural Adjacente 0 0
## 2585 Rural Adjacente 0 0
## 2586 Urbano 0 0
## 2587 Rural Adjacente 0 0
## 2588 Rural Adjacente 0 0
## 2589 Urbano 0 0
## 2590 Intermediário Adjacente 0 1
## 2591 Rural Adjacente 0 0
## 2592 Rural Adjacente 0 0
## 2593 Rural Remoto 0 0
## 2594 Rural Adjacente 0 0
## 2595 Rural Adjacente 0 0
## 2596 Rural Adjacente 0 0
## 2597 Urbano 0 0
## 2598 Urbano 0 0
## 2599 Urbano 0 0
## 2600 Urbano 0 0
## 2601 Urbano 0 0
## 2602 Intermediário Adjacente 0 1
## 2603 Rural Adjacente 0 0
## 2604 Intermediário Adjacente 0 1
## 2605 Urbano 0 0
## 2606 Rural Adjacente 0 0
## 2607 Urbano 0 0
## 2608 Rural Adjacente 0 0
## 2609 Urbano 0 0
## 2610 Rural Adjacente 0 0
## 2611 Rural Adjacente 0 0
## 2612 Urbano 0 0
## 2613 Intermediário Adjacente 0 1
## 2614 Rural Adjacente 0 0
## 2615 Intermediário Adjacente 0 1
## 2616 Rural Adjacente 0 0
## 2617 Rural Adjacente 0 0
## 2618 Rural Adjacente 0 0
## 2619 Urbano 0 0
## 2620 Rural Adjacente 0 0
## 2621 Intermediário Adjacente 0 1
## 2622 Rural Adjacente 0 0
## 2623 Intermediário Adjacente 0 1
## 2624 Rural Adjacente 0 0
## 2625 Rural Adjacente 0 0
## 2626 Urbano 0 0
## 2627 Urbano 0 0
## 2628 Rural Adjacente 0 0
## 2629 Rural Adjacente 0 0
## 2630 Rural Adjacente 0 0
## 2631 Urbano 0 0
## 2632 Urbano 0 0
## 2633 Urbano 0 0
## 2634 Rural Adjacente 0 0
## 2635 Rural Adjacente 0 0
## 2636 Rural Adjacente 0 0
## 2637 Rural Adjacente 0 0
## 2638 Intermediário Adjacente 0 1
## 2639 Urbano 0 0
## 2640 Rural Adjacente 0 0
## 2641 Rural Adjacente 0 0
## 2642 Urbano 0 0
## 2643 Urbano 0 0
## 2644 Rural Adjacente 0 0
## 2645 Rural Adjacente 0 0
## 2646 Urbano 0 0
## 2647 Rural Adjacente 0 0
## 2648 Rural Adjacente 0 0
## 2649 Rural Adjacente 0 0
## 2650 Rural Adjacente 0 0
## 2651 Intermediário Remoto 0 0
## 2652 Rural Adjacente 0 0
## 2653 Rural Adjacente 0 0
## 2654 Rural Adjacente 0 0
## 2655 Urbano 0 0
## 2656 Urbano 0 0
## 2657 Rural Adjacente 0 0
## 2658 Rural Adjacente 0 0
## 2659 Rural Remoto 0 0
## 2660 Rural Adjacente 0 0
## 2661 Rural Remoto 0 0
## 2662 Rural Adjacente 0 0
## 2663 Urbano 0 0
## 2664 Urbano 0 0
## 2665 Rural Adjacente 0 0
## 2666 Rural Adjacente 0 0
## 2667 Rural Remoto 0 0
## 2668 Rural Adjacente 0 0
## 2669 Rural Adjacente 0 0
## 2670 Urbano 0 0
## 2671 Rural Adjacente 0 0
## 2672 Rural Adjacente 0 0
## 2673 Intermediário Adjacente 0 1
## 2674 Intermediário Adjacente 0 1
## 2675 Urbano 0 0
## 2676 Rural Adjacente 0 0
## 2677 Intermediário Adjacente 0 1
## 2678 Rural Adjacente 0 0
## 2679 Rural Adjacente 0 0
## 2680 Rural Adjacente 0 0
## 2681 Urbano 0 0
## 2682 Rural Adjacente 0 0
## 2683 Rural Adjacente 0 0
## 2684 Urbano 0 0
## 2685 Rural Adjacente 0 0
## 2686 Rural Adjacente 0 0
## 2687 Rural Remoto 0 0
## 2688 Rural Adjacente 0 0
## 2689 Rural Adjacente 0 0
## 2690 Rural Adjacente 0 0
## 2691 Rural Adjacente 0 0
## 2692 Urbano 0 0
## 2693 Intermediário Adjacente 0 1
## 2694 Urbano 0 0
## 2695 Rural Adjacente 0 0
## 2696 Intermediário Adjacente 0 1
## 2697 Rural Adjacente 0 0
## 2698 Intermediário Remoto 0 0
## 2699 Urbano 0 0
## 2700 Urbano 0 0
## 2701 Intermediário Adjacente 0 1
## 2702 Rural Adjacente 0 0
## 2703 Urbano 0 0
## 2704 Rural Adjacente 0 0
## 2705 Urbano 0 0
## 2706 Rural Adjacente 0 0
## 2707 Urbano 0 0
## 2708 Rural Adjacente 0 0
## 2709 Urbano 0 0
## 2710 Rural Adjacente 0 0
## 2711 Rural Adjacente 0 0
## 2712 Rural Adjacente 0 0
## 2713 Intermediário Adjacente 0 1
## 2714 Rural Adjacente 0 0
## 2715 Intermediário Adjacente 0 1
## 2716 Urbano 0 0
## 2717 Rural Adjacente 0 0
## 2718 Intermediário Adjacente 0 1
## 2719 Rural Adjacente 0 0
## 2720 Urbano 0 0
## 2721 Rural Adjacente 0 0
## 2722 Rural Adjacente 0 0
## 2723 Intermediário Adjacente 0 1
## 2724 Rural Adjacente 0 0
## 2725 Rural Adjacente 0 0
## 2726 Rural Adjacente 0 0
## 2727 Rural Adjacente 0 0
## 2728 Rural Adjacente 0 0
## 2729 Rural Adjacente 0 0
## 2730 Rural Adjacente 0 0
## 2731 Rural Adjacente 0 0
## 2732 Rural Remoto 0 0
## 2733 Rural Adjacente 0 0
## 2734 Intermediário Adjacente 0 1
## 2735 Rural Adjacente 0 0
## 2736 Rural Adjacente 0 0
## 2737 Rural Remoto 0 0
## 2738 Intermediário Adjacente 0 1
## 2739 Intermediário Adjacente 0 1
## 2740 Rural Adjacente 0 0
## 2741 Urbano 0 0
## 2742 Rural Adjacente 0 0
## 2743 Intermediário Adjacente 0 1
## 2744 Urbano 0 0
## 2745 Intermediário Adjacente 0 1
## 2746 Rural Adjacente 0 0
## 2747 Rural Adjacente 0 0
## 2748 Rural Adjacente 0 0
## 2749 Rural Adjacente 0 0
## 2750 Rural Adjacente 0 0
## 2751 Urbano 0 0
## 2752 Rural Adjacente 0 0
## 2753 Urbano 0 0
## 2754 Rural Adjacente 0 0
## 2755 Urbano 0 0
## 2756 Urbano 0 0
## 2757 Rural Adjacente 0 0
## 2758 Rural Adjacente 0 0
## 2759 Intermediário Adjacente 0 1
## 2760 Intermediário Adjacente 0 1
## 2761 Rural Adjacente 0 0
## 2762 Rural Adjacente 0 0
## 2763 Intermediário Adjacente 0 1
## 2764 Urbano 0 0
## 2765 Rural Adjacente 0 0
## 2766 Rural Adjacente 0 0
## 2767 Urbano 0 0
## 2768 Rural Adjacente 0 0
## 2769 Urbano 0 0
## 2770 Rural Adjacente 0 0
## 2771 Rural Adjacente 0 0
## 2772 Rural Remoto 0 0
## 2773 Rural Adjacente 0 0
## 2774 Rural Adjacente 0 0
## 2775 Rural Adjacente 0 0
## 2776 Urbano 0 0
## 2777 Rural Adjacente 0 0
## 2778 Rural Adjacente 0 0
## 2779 Rural Adjacente 0 0
## 2780 Rural Adjacente 0 0
## 2781 Urbano 0 0
## 2782 Intermediário Adjacente 0 1
## 2783 Urbano 0 0
## 2784 Rural Adjacente 0 0
## 2785 Rural Adjacente 0 0
## 2786 Intermediário Adjacente 0 1
## 2787 Rural Adjacente 0 0
## 2788 Rural Adjacente 0 0
## 2789 Rural Adjacente 0 0
## 2790 Rural Adjacente 0 0
## 2791 Rural Adjacente 0 0
## 2792 Rural Remoto 0 0
## 2793 Urbano 0 0
## 2794 Urbano 0 0
## 2795 Urbano 0 0
## 2796 Urbano 0 0
## 2797 Urbano 0 0
## 2798 Urbano 0 0
## 2799 Rural Adjacente 0 0
## 2800 Rural Adjacente 0 0
## 2801 Rural Adjacente 0 0
## 2802 Rural Adjacente 0 0
## 2803 Urbano 0 0
## 2804 Rural Adjacente 0 0
## 2805 Urbano 0 0
## 2806 Urbano 0 0
## 2807 Rural Adjacente 0 0
## 2808 Rural Adjacente 0 0
## 2809 Rural Adjacente 0 0
## 2810 Rural Adjacente 0 0
## 2811 Rural Adjacente 0 0
## 2812 Urbano 0 0
## 2813 Rural Adjacente 0 0
## 2814 Rural Adjacente 0 0
## 2815 Rural Adjacente 0 0
## 2816 Rural Adjacente 0 0
## 2817 Rural Adjacente 0 0
## 2818 Rural Adjacente 0 0
## 2819 Rural Adjacente 0 0
## 2820 Urbano 0 0
## 2821 Rural Adjacente 0 0
## 2822 Rural Adjacente 0 0
## 2823 Rural Adjacente 0 0
## 2824 Rural Adjacente 0 0
## 2825 Rural Adjacente 0 0
## 2826 Urbano 0 0
## 2827 Rural Adjacente 0 0
## 2828 Intermediário Adjacente 0 1
## 2829 Rural Adjacente 0 0
## 2830 Rural Adjacente 0 0
## 2831 Intermediário Adjacente 0 1
## 2832 Rural Adjacente 0 0
## 2833 Rural Adjacente 0 0
## 2834 Rural Adjacente 0 0
## 2835 Intermediário Adjacente 0 1
## 2836 Rural Adjacente 0 0
## 2837 Rural Adjacente 0 0
## 2838 Intermediário Adjacente 0 1
## 2839 Rural Adjacente 0 0
## 2840 Urbano 0 0
## 2841 Urbano 0 0
## 2842 Intermediário Adjacente 0 1
## 2843 Urbano 0 0
## 2844 Intermediário Adjacente 0 1
## 2845 Urbano 0 0
## 2846 Urbano 0 0
## 2847 Urbano 0 0
## 2848 Rural Adjacente 0 0
## 2849 Urbano 0 0
## 2850 Rural Adjacente 0 0
## 2851 Urbano 0 0
## 2852 Urbano 0 0
## 2853 Rural Adjacente 0 0
## 2854 Rural Adjacente 0 0
## 2855 Rural Adjacente 0 0
## 2856 Rural Adjacente 0 0
## 2857 Rural Adjacente 0 0
## 2858 Urbano 0 0
## 2859 Rural Adjacente 0 0
## 2860 Rural Adjacente 0 0
## 2861 Intermediário Adjacente 0 1
## 2862 Intermediário Adjacente 0 1
## 2863 Rural Adjacente 0 0
## 2864 Rural Adjacente 0 0
## 2865 Rural Adjacente 0 0
## 2866 Rural Adjacente 0 0
## 2867 Intermediário Adjacente 0 1
## 2868 Rural Adjacente 0 0
## 2869 Urbano 0 0
## 2870 Rural Adjacente 0 0
## 2871 Urbano 0 0
## 2872 Urbano 0 0
## 2873 Rural Adjacente 0 0
## 2874 Rural Adjacente 0 0
## 2875 Rural Adjacente 0 0
## 2876 Intermediário Adjacente 0 1
## 2877 Intermediário Adjacente 0 1
## 2878 Rural Adjacente 0 0
## 2879 Rural Adjacente 0 0
## 2880 Rural Adjacente 0 0
## 2881 Urbano 0 0
## 2882 Urbano 0 0
## 2883 Urbano 0 0
## 2884 Rural Adjacente 0 0
## 2885 Rural Adjacente 0 0
## 2886 Rural Remoto 0 0
## 2887 Rural Adjacente 0 0
## 2888 Rural Adjacente 0 0
## 2889 Intermediário Adjacente 0 1
## 2890 Rural Adjacente 0 0
## 2891 Rural Remoto 0 0
## 2892 Rural Adjacente 0 0
## 2893 Urbano 0 0
## 2894 Rural Adjacente 0 0
## 2895 Rural Adjacente 0 0
## 2896 Rural Adjacente 0 0
## 2897 Rural Adjacente 0 0
## 2898 Urbano 0 0
## 2899 Rural Adjacente 0 0
## 2900 Rural Adjacente 0 0
## 2901 Rural Remoto 0 0
## 2902 Rural Remoto 0 0
## 2903 Urbano 0 0
## 2904 Rural Adjacente 0 0
## 2905 Urbano 0 0
## 2906 Urbano 0 0
## 2907 Intermediário Adjacente 0 1
## 2908 Urbano 0 0
## 2909 Rural Adjacente 0 0
## 2910 Rural Adjacente 0 0
## 2911 Rural Adjacente 0 0
## 2912 Urbano 0 0
## 2913 Rural Adjacente 0 0
## 2914 Rural Adjacente 0 0
## 2915 Rural Adjacente 0 0
## 2916 Rural Adjacente 0 0
## 2917 Rural Adjacente 0 0
## 2918 Intermediário Adjacente 0 1
## 2919 Urbano 0 0
## 2920 Rural Adjacente 0 0
## 2921 Rural Adjacente 0 0
## 2922 Rural Adjacente 0 0
## 2923 Rural Adjacente 0 0
## 2924 Rural Adjacente 0 0
## 2925 Rural Adjacente 0 0
## 2926 Rural Adjacente 0 0
## 2927 Urbano 0 0
## 2928 Rural Adjacente 0 0
## 2929 Intermediário Adjacente 0 1
## 2930 Rural Adjacente 0 0
## 2931 Urbano 0 0
## 2932 Rural Adjacente 0 0
## 2933 Rural Adjacente 0 0
## 2934 Rural Adjacente 0 0
## 2935 Rural Adjacente 0 0
## 2936 Intermediário Adjacente 0 1
## 2937 Rural Adjacente 0 0
## 2938 Rural Adjacente 0 0
## 2939 Urbano 0 0
## 2940 Rural Adjacente 0 0
## 2941 Intermediário Adjacente 0 1
## 2942 Urbano 0 0
## 2943 Rural Adjacente 0 0
## 2944 Intermediário Adjacente 0 1
## 2945 Rural Adjacente 0 0
## 2946 Rural Adjacente 0 0
## 2947 Urbano 0 0
## 2948 Rural Adjacente 0 0
## 2949 Rural Adjacente 0 0
## 2950 Rural Adjacente 0 0
## 2951 Urbano 0 0
## 2952 Intermediário Adjacente 0 1
## 2953 Urbano 0 0
## 2954 Rural Adjacente 0 0
## 2955 Rural Adjacente 0 0
## 2956 Rural Adjacente 0 0
## 2957 Urbano 0 0
## 2958 Rural Adjacente 0 0
## 2959 Intermediário Adjacente 0 1
## 2960 Rural Adjacente 0 0
## 2961 Rural Adjacente 0 0
## 2962 Rural Adjacente 0 0
## 2963 Rural Adjacente 0 0
## 2964 Rural Adjacente 0 0
## 2965 Intermediário Adjacente 0 1
## 2966 Rural Adjacente 0 0
## 2967 Urbano 0 0
## 2968 Urbano 0 0
## 2969 Intermediário Adjacente 0 1
## 2970 Rural Adjacente 0 0
## 2971 Rural Adjacente 0 0
## 2972 Rural Adjacente 0 0
## 2973 Rural Remoto 0 0
## 2974 Urbano 0 0
## 2975 Rural Adjacente 0 0
## 2976 Rural Adjacente 0 0
## 2977 Rural Adjacente 0 0
## 2978 Rural Adjacente 0 0
## 2979 Rural Adjacente 0 0
## 2980 Rural Adjacente 0 0
## 2981 Urbano 0 0
## 2982 Urbano 0 0
## 2983 Rural Adjacente 0 0
## 2984 Urbano 0 0
## 2985 Rural Adjacente 0 0
## 2986 Rural Adjacente 0 0
## 2987 Urbano 0 0
## 2988 Rural Adjacente 0 0
## 2989 Rural Adjacente 0 0
## 2990 Rural Adjacente 0 0
## 2991 Rural Adjacente 0 0
## 2992 Urbano 0 0
## 2993 Rural Adjacente 0 0
## 2994 Rural Adjacente 0 0
## 2995 Rural Adjacente 0 0
## 2996 Rural Adjacente 0 0
## 2997 Rural Adjacente 0 0
## 2998 Rural Adjacente 0 0
## 2999 Rural Adjacente 0 0
## 3000 Rural Adjacente 0 0
## 3001 Rural Adjacente 0 0
## 3002 Rural Adjacente 0 0
## 3003 Rural Adjacente 0 0
## 3004 Urbano 0 0
## 3005 Rural Adjacente 0 0
## 3006 Rural Adjacente 0 0
## 3007 Rural Adjacente 0 0
## 3008 Rural Adjacente 0 0
## 3009 Rural Adjacente 0 0
## 3010 Intermediário Adjacente 0 1
## 3011 Rural Adjacente 0 0
## 3012 Rural Adjacente 0 0
## 3013 Urbano 0 0
## 3014 Rural Adjacente 0 0
## 3015 Rural Adjacente 0 0
## 3016 Rural Adjacente 0 0
## 3017 Rural Adjacente 0 0
## 3018 Rural Adjacente 0 0
## 3019 Rural Adjacente 0 0
## 3020 Rural Adjacente 0 0
## 3021 Rural Adjacente 0 0
## 3022 Rural Adjacente 0 0
## 3023 Rural Adjacente 0 0
## 3024 Rural Adjacente 0 0
## 3025 Rural Adjacente 0 0
## 3026 Rural Adjacente 0 0
## 3027 Rural Adjacente 0 0
## 3028 Intermediário Adjacente 0 1
## 3029 Rural Adjacente 0 0
## 3030 Intermediário Adjacente 0 1
## 3031 Rural Adjacente 0 0
## 3032 Rural Adjacente 0 0
## 3033 Rural Adjacente 0 0
## 3034 Urbano 0 0
## 3035 Rural Adjacente 0 0
## 3036 Rural Adjacente 0 0
## 3037 Urbano 0 0
## 3038 Rural Adjacente 0 0
## 3039 Rural Adjacente 0 0
## 3040 Rural Adjacente 0 0
## 3041 Rural Adjacente 0 0
## 3042 Urbano 0 0
## 3043 Rural Adjacente 0 0
## 3044 Rural Adjacente 0 0
## 3045 Rural Adjacente 0 0
## 3046 Rural Adjacente 0 0
## 3047 Rural Adjacente 0 0
## 3048 Rural Adjacente 0 0
## 3049 Urbano 0 0
## 3050 Urbano 0 0
## 3051 Urbano 0 0
## 3052 Rural Adjacente 0 0
## 3053 Urbano 0 0
## 3054 Rural Adjacente 0 0
## 3055 Rural Adjacente 0 0
## 3056 Rural Adjacente 0 0
## 3057 Urbano 0 0
## 3058 Urbano 0 0
## 3059 Urbano 0 0
## 3060 Rural Adjacente 0 0
## 3061 Urbano 0 0
## 3062 Intermediário Adjacente 0 1
## 3063 Rural Adjacente 0 0
## 3064 Urbano 0 0
## 3065 Rural Adjacente 0 0
## 3066 Rural Adjacente 0 0
## 3067 Urbano 0 0
## 3068 Urbano 0 0
## 3069 Rural Adjacente 0 0
## 3070 Urbano 0 0
## 3071 Rural Adjacente 0 0
## 3072 Rural Adjacente 0 0
## 3073 Rural Adjacente 0 0
## 3074 Rural Adjacente 0 0
## 3075 Intermediário Adjacente 0 1
## 3076 Rural Adjacente 0 0
## 3077 Rural Remoto 0 0
## 3078 Urbano 0 0
## 3079 Intermediário Adjacente 0 1
## 3080 Urbano 0 0
## 3081 Rural Adjacente 0 0
## 3082 Urbano 0 0
## 3083 Rural Adjacente 0 0
## 3084 Rural Adjacente 0 0
## 3085 Rural Adjacente 0 0
## 3086 Rural Adjacente 0 0
## 3087 Urbano 0 0
## 3088 Urbano 0 0
## 3089 Rural Adjacente 0 0
## 3090 Rural Adjacente 0 0
## 3091 Rural Remoto 0 0
## 3092 Rural Adjacente 0 0
## 3093 Rural Adjacente 0 0
## 3094 Rural Adjacente 0 0
## 3095 Urbano 0 0
## 3096 Rural Adjacente 0 0
## 3097 Urbano 0 0
## 3098 Rural Adjacente 0 0
## 3099 Rural Adjacente 0 0
## 3100 Rural Adjacente 0 0
## 3101 Intermediário Adjacente 0 1
## 3102 Rural Adjacente 0 0
## 3103 Rural Adjacente 0 0
## 3104 Rural Adjacente 0 0
## 3105 Rural Adjacente 0 0
## 3106 Urbano 0 0
## 3107 Rural Adjacente 0 0
## 3108 Intermediário Adjacente 0 1
## 3109 Rural Adjacente 0 0
## 3110 Rural Adjacente 0 0
## 3111 Urbano 0 0
## 3112 Rural Adjacente 0 0
## 3113 Urbano 0 0
## 3114 Urbano 0 0
## 3115 Intermediário Adjacente 0 1
## 3116 Urbano 0 0
## 3117 Intermediário Adjacente 0 1
## 3118 Rural Adjacente 0 0
## 3119 Rural Adjacente 0 0
## 3120 Rural Adjacente 0 0
## 3121 Rural Adjacente 0 0
## 3122 Rural Adjacente 0 0
## 3123 Urbano 0 0
## 3124 Rural Adjacente 0 0
## 3125 Intermediário Adjacente 0 1
## 3126 Urbano 0 0
## 3127 Intermediário Adjacente 0 1
## 3128 Intermediário Adjacente 0 1
## 3129 Rural Adjacente 0 0
## 3130 Rural Adjacente 0 0
## 3131 Rural Adjacente 0 0
## 3132 Rural Adjacente 0 0
## 3133 Intermediário Adjacente 0 1
## 3134 Rural Adjacente 0 0
## 3135 Intermediário Adjacente 0 1
## 3136 Intermediário Adjacente 0 1
## 3137 Rural Adjacente 0 0
## 3138 Intermediário Adjacente 0 1
## 3139 Rural Adjacente 0 0
## 3140 Urbano 0 0
## 3141 Rural Adjacente 0 0
## 3142 Intermediário Adjacente 0 1
## 3143 Rural Adjacente 0 0
## 3144 Rural Adjacente 0 0
## 3145 Rural Adjacente 0 0
## 3146 Intermediário Adjacente 0 1
## 3147 Rural Adjacente 0 0
## 3148 Rural Adjacente 0 0
## 3149 Rural Adjacente 0 0
## 3150 Urbano 0 0
## 3151 Rural Adjacente 0 0
## 3152 Intermediário Adjacente 0 1
## 3153 Intermediário Adjacente 0 1
## 3154 Urbano 0 0
## 3155 Rural Adjacente 0 0
## 3156 Rural Adjacente 0 0
## 3157 Rural Adjacente 0 0
## 3158 Rural Adjacente 0 0
## 3159 Rural Adjacente 0 0
## 3160 Rural Adjacente 0 0
## 3161 Rural Adjacente 0 0
## 3162 Rural Adjacente 0 0
## 3163 Intermediário Adjacente 0 1
## 3164 Rural Adjacente 0 0
## 3165 Urbano 0 0
## 3166 Rural Adjacente 0 0
## 3167 Urbano 0 0
## 3168 Intermediário Adjacente 0 1
## 3169 Rural Adjacente 0 0
## 3170 Rural Adjacente 0 0
## 3171 Urbano 0 0
## 3172 Rural Adjacente 0 0
## 3173 Rural Adjacente 0 0
## 3174 Urbano 0 0
## 3175 Urbano 0 0
## 3176 Urbano 0 0
## 3177 Intermediário Adjacente 0 1
## 3178 Urbano 0 0
## 3179 Urbano 0 0
## 3180 Urbano 0 0
## 3181 Urbano 0 0
## 3182 Urbano 0 0
## 3183 Urbano 0 0
## 3184 Urbano 0 0
## 3185 Rural Adjacente 0 0
## 3186 Urbano 0 0
## 3187 Urbano 0 0
## 3188 Urbano 0 0
## 3189 Rural Adjacente 0 0
## 3190 Urbano 0 0
## 3191 Urbano 0 0
## 3192 Urbano 0 0
## 3193 Urbano 0 0
## 3194 Rural Adjacente 0 0
## 3195 Urbano 0 0
## 3196 Urbano 0 0
## 3197 Urbano 0 0
## 3198 Urbano 0 0
## 3199 Rural Adjacente 0 0
## 3200 Urbano 0 0
## 3201 Intermediário Adjacente 0 1
## 3202 Urbano 0 0
## 3203 Urbano 0 0
## 3204 Urbano 0 0
## 3205 Urbano 0 0
## 3206 Rural Adjacente 0 0
## 3207 Intermediário Adjacente 0 1
## 3208 Urbano 0 0
## 3209 Urbano 0 0
## 3210 Urbano 0 0
## 3211 Rural Adjacente 0 0
## 3212 Urbano 0 0
## 3213 Intermediário Adjacente 0 1
## 3214 Urbano 0 0
## 3215 Urbano 0 0
## 3216 Urbano 0 0
## 3217 Intermediário Adjacente 0 1
## 3218 Urbano 0 0
## 3219 Urbano 0 0
## 3220 Urbano 0 0
## 3221 Rural Adjacente 0 0
## 3222 Urbano 0 0
## 3223 Urbano 0 0
## 3224 Urbano 0 0
## 3225 Urbano 0 0
## 3226 Urbano 0 0
## 3227 Urbano 0 0
## 3228 Intermediário Adjacente 0 1
## 3229 Urbano 0 0
## 3230 Urbano 0 0
## 3231 Urbano 0 0
## 3232 Intermediário Adjacente 0 1
## 3233 Intermediário Adjacente 0 1
## 3234 Urbano 0 0
## 3235 Urbano 0 0
## 3236 Urbano 0 0
## 3237 Intermediário Adjacente 0 1
## 3238 Urbano 0 0
## 3239 Urbano 0 0
## 3240 Rural Adjacente 0 0
## 3241 Rural Adjacente 0 0
## 3242 Urbano 0 0
## 3243 Urbano 0 0
## 3244 Rural Adjacente 0 0
## 3245 Urbano 0 0
## 3246 Rural Adjacente 0 0
## 3247 Intermediário Adjacente 0 1
## 3248 Urbano 0 0
## 3249 Urbano 0 0
## 3250 Urbano 0 0
## 3251 Rural Adjacente 0 0
## 3252 Rural Adjacente 0 0
## 3253 Urbano 0 0
## 3254 Rural Adjacente 0 0
## 3255 Rural Adjacente 0 0
## 3256 Urbano 0 0
## 3257 Urbano 0 0
## 3258 Rural Adjacente 0 0
## 3259 Rural Adjacente 0 0
## 3260 Urbano 0 0
## 3261 Urbano 0 0
## 3262 Rural Adjacente 0 0
## 3263 Urbano 0 0
## 3264 Urbano 0 0
## 3265 Rural Adjacente 0 0
## 3266 Intermediário Adjacente 0 1
## 3267 Urbano 0 0
## 3268 Urbano 0 0
## 3269 Rural Adjacente 0 0
## 3270 Urbano 0 0
## 3271 Urbano 0 0
## 3272 Intermediário Adjacente 0 1
## 3273 Rural Adjacente 0 0
## 3274 Intermediário Adjacente 0 1
## 3275 Urbano 0 0
## 3276 Urbano 0 0
## 3277 Urbano 0 0
## 3278 Rural Adjacente 0 0
## 3279 Urbano 0 0
## 3280 Rural Adjacente 0 0
## 3281 Urbano 0 0
## 3282 Rural Adjacente 0 0
## 3283 Urbano 0 0
## 3284 Rural Adjacente 0 0
## 3285 Rural Adjacente 0 0
## 3286 Urbano 0 0
## 3287 Urbano 0 0
## 3288 Rural Adjacente 0 0
## 3289 Urbano 0 0
## 3290 Rural Adjacente 0 0
## 3291 Urbano 0 0
## 3292 Intermediário Adjacente 0 1
## 3293 Rural Adjacente 0 0
## 3294 Urbano 0 0
## 3295 Urbano 0 0
## 3296 Intermediário Adjacente 0 1
## 3297 Intermediário Adjacente 0 1
## 3298 Intermediário Adjacente 0 1
## 3299 Urbano 0 0
## 3300 Urbano 0 0
## 3301 Intermediário Adjacente 0 1
## 3302 Intermediário Adjacente 0 1
## 3303 Rural Adjacente 0 0
## 3304 Urbano 0 0
## 3305 Urbano 0 0
## 3306 Rural Adjacente 0 0
## 3307 Rural Adjacente 0 0
## 3308 Rural Adjacente 0 0
## 3309 Intermediário Adjacente 0 1
## 3310 Intermediário Adjacente 0 1
## 3311 Urbano 0 0
## 3312 Urbano 0 0
## 3313 Rural Adjacente 0 0
## 3314 Urbano 0 0
## 3315 Urbano 0 0
## 3316 Urbano 0 0
## 3317 Rural Adjacente 0 0
## 3318 Intermediário Adjacente 0 1
## 3319 Urbano 0 0
## 3320 Urbano 0 0
## 3321 Intermediário Adjacente 0 1
## 3322 Urbano 0 0
## 3323 Rural Adjacente 0 0
## 3324 Rural Adjacente 0 0
## 3325 Intermediário Adjacente 0 1
## 3326 Urbano 0 0
## 3327 Urbano 0 0
## 3328 Rural Adjacente 0 0
## 3329 Rural Adjacente 0 0
## 3330 Urbano 0 0
## 3331 Urbano 0 0
## 3332 Urbano 0 0
## 3333 Urbano 0 0
## 3334 Urbano 0 0
## 3335 Urbano 0 0
## 3336 Urbano 0 0
## 3337 Rural Adjacente 0 0
## 3338 Intermediário Adjacente 0 1
## 3339 Urbano 0 0
## 3340 Intermediário Adjacente 0 1
## 3341 Urbano 0 0
## 3342 Urbano 0 0
## 3343 Urbano 0 0
## 3344 Intermediário Adjacente 0 1
## 3345 Rural Adjacente 0 0
## 3346 Urbano 0 0
## 3347 Urbano 0 0
## 3348 Rural Adjacente 0 0
## 3349 Rural Adjacente 0 0
## 3350 Intermediário Adjacente 0 1
## 3351 Urbano 0 0
## 3352 Rural Adjacente 0 0
## 3353 Urbano 0 0
## 3354 Urbano 0 0
## 3355 Urbano 0 0
## 3356 Urbano 0 0
## 3357 Urbano 0 0
## 3358 Urbano 0 0
## 3359 Urbano 0 0
## 3360 Urbano 0 0
## 3361 Intermediário Adjacente 0 1
## 3362 Intermediário Adjacente 0 1
## 3363 Urbano 0 0
## 3364 Urbano 0 0
## 3365 Urbano 0 0
## 3366 Intermediário Adjacente 0 1
## 3367 Urbano 0 0
## 3368 Urbano 0 0
## 3369 Urbano 0 0
## 3370 Rural Adjacente 0 0
## 3371 Urbano 0 0
## 3372 Intermediário Adjacente 0 1
## 3373 Intermediário Adjacente 0 1
## 3374 Urbano 0 0
## 3375 Rural Adjacente 0 0
## 3376 Urbano 0 0
## 3377 Urbano 0 0
## 3378 Urbano 0 0
## 3379 Intermediário Adjacente 0 1
## 3380 Rural Adjacente 0 0
## 3381 Urbano 0 0
## 3382 Urbano 0 0
## 3383 Rural Adjacente 0 0
## 3384 Urbano 0 0
## 3385 Urbano 0 0
## 3386 Rural Adjacente 0 0
## 3387 Urbano 0 0
## 3388 Urbano 0 0
## 3389 Urbano 0 0
## 3390 Rural Adjacente 0 0
## 3391 Intermediário Adjacente 0 1
## 3392 Rural Adjacente 0 0
## 3393 Intermediário Adjacente 0 1
## 3394 Urbano 0 0
## 3395 Urbano 0 0
## 3396 Urbano 0 0
## 3397 Urbano 0 0
## 3398 Urbano 0 0
## 3399 Rural Adjacente 0 0
## 3400 Urbano 0 0
## 3401 Intermediário Adjacente 0 1
## 3402 Urbano 0 0
## 3403 Urbano 0 0
## 3404 Urbano 0 0
## 3405 Intermediário Adjacente 0 1
## 3406 Urbano 0 0
## 3407 Urbano 0 0
## 3408 Intermediário Adjacente 0 1
## 3409 Rural Adjacente 0 0
## 3410 Urbano 0 0
## 3411 Rural Adjacente 0 0
## 3412 Urbano 0 0
## 3413 Urbano 0 0
## 3414 Urbano 0 0
## 3415 Rural Adjacente 0 0
## 3416 Urbano 0 0
## 3417 Urbano 0 0
## 3418 Intermediário Adjacente 0 1
## 3419 Urbano 0 0
## 3420 Urbano 0 0
## 3421 Rural Adjacente 0 0
## 3422 Rural Adjacente 0 0
## 3423 Intermediário Adjacente 0 1
## 3424 Urbano 0 0
## 3425 Rural Adjacente 0 0
## 3426 Intermediário Adjacente 0 1
## 3427 Urbano 0 0
## 3428 Urbano 0 0
## 3429 Intermediário Adjacente 0 1
## 3430 Intermediário Adjacente 0 1
## 3431 Rural Adjacente 0 0
## 3432 Rural Adjacente 0 0
## 3433 Urbano 0 0
## 3434 Urbano 0 0
## 3435 Urbano 0 0
## 3436 Urbano 0 0
## 3437 Urbano 0 0
## 3438 Urbano 0 0
## 3439 Urbano 0 0
## 3440 Intermediário Adjacente 0 1
## 3441 Intermediário Adjacente 0 1
## 3442 Urbano 0 0
## 3443 Rural Adjacente 0 0
## 3444 Urbano 0 0
## 3445 Urbano 0 0
## 3446 Rural Adjacente 0 0
## 3447 Rural Adjacente 0 0
## 3448 Urbano 0 0
## 3449 Rural Adjacente 0 0
## 3450 Rural Adjacente 0 0
## 3451 Rural Adjacente 0 0
## 3452 Rural Adjacente 0 0
## 3453 Urbano 0 0
## 3454 Urbano 0 0
## 3455 Urbano 0 0
## 3456 Rural Adjacente 0 0
## 3457 Rural Adjacente 0 0
## 3458 Urbano 0 0
## 3459 Intermediário Adjacente 0 1
## 3460 Urbano 0 0
## 3461 Intermediário Adjacente 0 1
## 3462 Rural Adjacente 0 0
## 3463 Rural Adjacente 0 0
## 3464 Rural Adjacente 0 0
## 3465 Intermediário Adjacente 0 1
## 3466 Urbano 0 0
## 3467 Urbano 0 0
## 3468 Rural Adjacente 0 0
## 3469 Urbano 0 0
## 3470 Intermediário Adjacente 0 1
## 3471 Intermediário Adjacente 0 1
## 3472 Rural Adjacente 0 0
## 3473 Intermediário Adjacente 0 1
## 3474 Urbano 0 0
## 3475 Rural Adjacente 0 0
## 3476 Urbano 0 0
## 3477 Rural Adjacente 0 0
## 3478 Urbano 0 0
## 3479 Urbano 0 0
## 3480 Urbano 0 0
## 3481 Intermediário Adjacente 0 1
## 3482 Intermediário Adjacente 0 1
## 3483 Intermediário Adjacente 0 1
## 3484 Rural Adjacente 0 0
## 3485 Urbano 0 0
## 3486 Intermediário Adjacente 0 1
## 3487 Intermediário Adjacente 0 1
## 3488 Rural Adjacente 0 0
## 3489 Urbano 0 0
## 3490 Intermediário Adjacente 0 1
## 3491 Intermediário Adjacente 0 1
## 3492 Urbano 0 0
## 3493 Rural Adjacente 0 0
## 3494 Intermediário Adjacente 0 1
## 3495 Intermediário Adjacente 0 1
## 3496 Urbano 0 0
## 3497 Urbano 0 0
## 3498 Rural Adjacente 0 0
## 3499 Intermediário Adjacente 0 1
## 3500 Urbano 0 0
## 3501 Intermediário Adjacente 0 1
## 3502 Urbano 0 0
## 3503 Urbano 0 0
## 3504 Urbano 0 0
## 3505 Rural Adjacente 0 0
## 3506 Urbano 0 0
## 3507 Urbano 0 0
## 3508 Urbano 0 0
## 3509 Urbano 0 0
## 3510 Urbano 0 0
## 3511 Rural Adjacente 0 0
## 3512 Urbano 0 0
## 3513 Urbano 0 0
## 3514 Intermediário Adjacente 0 1
## 3515 Rural Adjacente 0 0
## 3516 Intermediário Adjacente 0 1
## 3517 Urbano 0 0
## 3518 Urbano 0 0
## 3519 Rural Adjacente 0 0
## 3520 Urbano 0 0
## 3521 Rural Adjacente 0 0
## 3522 Urbano 0 0
## 3523 Urbano 0 0
## 3524 Urbano 0 0
## 3525 Urbano 0 0
## 3526 Urbano 0 0
## 3527 Rural Adjacente 0 0
## 3528 Urbano 0 0
## 3529 Rural Adjacente 0 0
## 3530 Urbano 0 0
## 3531 Intermediário Adjacente 0 1
## 3532 Urbano 0 0
## 3533 Urbano 0 0
## 3534 Rural Adjacente 0 0
## 3535 Urbano 0 0
## 3536 Urbano 0 0
## 3537 Urbano 0 0
## 3538 Urbano 0 0
## 3539 Intermediário Adjacente 0 1
## 3540 Urbano 0 0
## 3541 Urbano 0 0
## 3542 Urbano 0 0
## 3543 Intermediário Adjacente 0 1
## 3544 Urbano 0 0
## 3545 Urbano 0 0
## 3546 Urbano 0 0
## 3547 Intermediário Adjacente 0 1
## 3548 Urbano 0 0
## 3549 Urbano 0 0
## 3550 Urbano 0 0
## 3551 Urbano 0 0
## 3552 Urbano 0 0
## 3553 Urbano 0 0
## 3554 Urbano 0 0
## 3555 Rural Adjacente 0 0
## 3556 Rural Adjacente 0 0
## 3557 Rural Adjacente 0 0
## 3558 Urbano 0 0
## 3559 Intermediário Adjacente 0 1
## 3560 Rural Adjacente 0 0
## 3561 Urbano 0 0
## 3562 Urbano 0 0
## 3563 Rural Adjacente 0 0
## 3564 Rural Adjacente 0 0
## 3565 Rural Adjacente 0 0
## 3566 Urbano 0 0
## 3567 Intermediário Adjacente 0 1
## 3568 Urbano 0 0
## 3569 Urbano 0 0
## 3570 Urbano 0 0
## 3571 Urbano 0 0
## 3572 Intermediário Adjacente 0 1
## 3573 Urbano 0 0
## 3574 Urbano 0 0
## 3575 Rural Adjacente 0 0
## 3576 Urbano 0 0
## 3577 Urbano 0 0
## 3578 Rural Adjacente 0 0
## 3579 Urbano 0 0
## 3580 Intermediário Adjacente 0 1
## 3581 Rural Adjacente 0 0
## 3582 Rural Adjacente 0 0
## 3583 Urbano 0 0
## 3584 Intermediário Adjacente 0 1
## 3585 Rural Adjacente 0 0
## 3586 Rural Adjacente 0 0
## 3587 Urbano 0 0
## 3588 Urbano 0 0
## 3589 Intermediário Adjacente 0 1
## 3590 Rural Adjacente 0 0
## 3591 Intermediário Adjacente 0 1
## 3592 Urbano 0 0
## 3593 Urbano 0 0
## 3594 Urbano 0 0
## 3595 Rural Adjacente 0 0
## 3596 Urbano 0 0
## 3597 Urbano 0 0
## 3598 Urbano 0 0
## 3599 Intermediário Adjacente 0 1
## 3600 Rural Adjacente 0 0
## 3601 Rural Adjacente 0 0
## 3602 Urbano 0 0
## 3603 Urbano 0 0
## 3604 Rural Adjacente 0 0
## 3605 Rural Adjacente 0 0
## 3606 Urbano 0 0
## 3607 Rural Adjacente 0 0
## 3608 Urbano 0 0
## 3609 Urbano 0 0
## 3610 Urbano 0 0
## 3611 Urbano 0 0
## 3612 Urbano 0 0
## 3613 Urbano 0 0
## 3614 Rural Adjacente 0 0
## 3615 Rural Adjacente 0 0
## 3616 Urbano 0 0
## 3617 Urbano 0 0
## 3618 Urbano 0 0
## 3619 Urbano 0 0
## 3620 Urbano 0 0
## 3621 Intermediário Adjacente 0 1
## 3622 Urbano 0 0
## 3623 Urbano 0 0
## 3624 Urbano 0 0
## 3625 Rural Adjacente 0 0
## 3626 Intermediário Adjacente 0 1
## 3627 Rural Adjacente 0 0
## 3628 Rural Adjacente 0 0
## 3629 Urbano 0 0
## 3630 Rural Adjacente 0 0
## 3631 Rural Adjacente 0 0
## 3632 Urbano 0 0
## 3633 Rural Adjacente 0 0
## 3634 Intermediário Adjacente 0 1
## 3635 Urbano 0 0
## 3636 Rural Adjacente 0 0
## 3637 Rural Adjacente 0 0
## 3638 Rural Adjacente 0 0
## 3639 Intermediário Adjacente 0 1
## 3640 Urbano 0 0
## 3641 Rural Adjacente 0 0
## 3642 Rural Adjacente 0 0
## 3643 Urbano 0 0
## 3644 Intermediário Adjacente 0 1
## 3645 Urbano 0 0
## 3646 Urbano 0 0
## 3647 Intermediário Adjacente 0 1
## 3648 Rural Adjacente 0 0
## 3649 Rural Adjacente 0 0
## 3650 Urbano 0 0
## 3651 Rural Adjacente 0 0
## 3652 Urbano 0 0
## 3653 Intermediário Adjacente 0 1
## 3654 Urbano 0 0
## 3655 Urbano 0 0
## 3656 Rural Adjacente 0 0
## 3657 Urbano 0 0
## 3658 Urbano 0 0
## 3659 Intermediário Adjacente 0 1
## 3660 Intermediário Adjacente 0 1
## 3661 Urbano 0 0
## 3662 Rural Adjacente 0 0
## 3663 Urbano 0 0
## 3664 Rural Adjacente 0 0
## 3665 Urbano 0 0
## 3666 Urbano 0 0
## 3667 Urbano 0 0
## 3668 Rural Adjacente 0 0
## 3669 Intermediário Adjacente 0 1
## 3670 Intermediário Adjacente 0 1
## 3671 Intermediário Adjacente 0 1
## 3672 Intermediário Adjacente 0 1
## 3673 Rural Adjacente 0 0
## 3674 Intermediário Adjacente 0 1
## 3675 Rural Adjacente 0 0
## 3676 Urbano 0 0
## 3677 Rural Adjacente 0 0
## 3678 Urbano 0 0
## 3679 Rural Adjacente 0 0
## 3680 Intermediário Adjacente 0 1
## 3681 Urbano 0 0
## 3682 Rural Adjacente 0 0
## 3683 Rural Adjacente 0 0
## 3684 Intermediário Adjacente 0 1
## 3685 Urbano 0 0
## 3686 Rural Adjacente 0 0
## 3687 Rural Adjacente 0 0
## 3688 Urbano 0 0
## 3689 Urbano 0 0
## 3690 Rural Adjacente 0 0
## 3691 Urbano 0 0
## 3692 Intermediário Adjacente 0 1
## 3693 Rural Adjacente 0 0
## 3694 Intermediário Adjacente 0 1
## 3695 Urbano 0 0
## 3696 Urbano 0 0
## 3697 Rural Adjacente 0 0
## 3698 Rural Adjacente 0 0
## 3699 Urbano 0 0
## 3700 Intermediário Adjacente 0 1
## 3701 Urbano 0 0
## 3702 Urbano 0 0
## 3703 Urbano 0 0
## 3704 Intermediário Adjacente 0 1
## 3705 Urbano 0 0
## 3706 Urbano 0 0
## 3707 Urbano 0 0
## 3708 Urbano 0 0
## 3709 Urbano 0 0
## 3710 Intermediário Adjacente 0 1
## 3711 Rural Adjacente 0 0
## 3712 Urbano 0 0
## 3713 Intermediário Adjacente 0 1
## 3714 Urbano 0 0
## 3715 Rural Adjacente 0 0
## 3716 Urbano 0 0
## 3717 Rural Adjacente 0 0
## 3718 Rural Adjacente 0 0
## 3719 Intermediário Adjacente 0 1
## 3720 Rural Adjacente 0 0
## 3721 Urbano 0 0
## 3722 Urbano 0 0
## 3723 Urbano 0 0
## 3724 Urbano 0 0
## 3725 Urbano 0 0
## 3726 Urbano 0 0
## 3727 Urbano 0 0
## 3728 Rural Adjacente 0 0
## 3729 Rural Adjacente 0 0
## 3730 Urbano 0 0
## 3731 Urbano 0 0
## 3732 Urbano 0 0
## 3733 Urbano 0 0
## 3734 Urbano 0 0
## 3735 Rural Adjacente 0 0
## 3736 Urbano 0 0
## 3737 Rural Adjacente 0 0
## 3738 Rural Adjacente 0 0
## 3739 Intermediário Adjacente 0 1
## 3740 Urbano 0 0
## 3741 Urbano 0 0
## 3742 Urbano 0 0
## 3743 Urbano 0 0
## 3744 Rural Adjacente 0 0
## 3745 Urbano 0 0
## 3746 Urbano 0 0
## 3747 Rural Adjacente 0 0
## 3748 Intermediário Adjacente 0 1
## 3749 Rural Adjacente 0 0
## 3750 Urbano 0 0
## 3751 Rural Adjacente 0 0
## 3752 Rural Adjacente 0 0
## 3753 Rural Adjacente 0 0
## 3754 Urbano 0 0
## 3755 Urbano 0 0
## 3756 Rural Adjacente 0 0
## 3757 Rural Adjacente 0 0
## 3758 Urbano 0 0
## 3759 Intermediário Adjacente 0 1
## 3760 Urbano 0 0
## 3761 Urbano 0 0
## 3762 Urbano 0 0
## 3763 Intermediário Adjacente 0 1
## 3764 Urbano 0 0
## 3765 Urbano 0 0
## 3766 Rural Adjacente 0 0
## 3767 Urbano 0 0
## 3768 Intermediário Adjacente 0 1
## 3769 Rural Adjacente 0 0
## 3770 Intermediário Adjacente 0 1
## 3771 Intermediário Adjacente 0 1
## 3772 Urbano 0 0
## 3773 Intermediário Adjacente 0 1
## 3774 Urbano 0 0
## 3775 Urbano 0 0
## 3776 Urbano 0 0
## 3777 Intermediário Adjacente 0 1
## 3778 Rural Adjacente 0 0
## 3779 Urbano 0 0
## 3780 Intermediário Adjacente 0 1
## 3781 Urbano 0 0
## 3782 Urbano 0 0
## 3783 Urbano 0 0
## 3784 Rural Adjacente 0 0
## 3785 Urbano 0 0
## 3786 Urbano 0 0
## 3787 Urbano 0 0
## 3788 Intermediário Adjacente 0 1
## 3789 Urbano 0 0
## 3790 Urbano 0 0
## 3791 Urbano 0 0
## 3792 Urbano 0 0
## 3793 Intermediário Adjacente 0 1
## 3794 Rural Adjacente 0 0
## 3795 Urbano 0 0
## 3796 Urbano 0 0
## 3797 Urbano 0 0
## 3798 Urbano 0 0
## 3799 Urbano 0 0
## 3800 Rural Adjacente 0 0
## 3801 Urbano 0 0
## 3802 Urbano 0 0
## 3803 Rural Adjacente 0 0
## 3804 Urbano 0 0
## 3805 Rural Adjacente 0 0
## 3806 Rural Adjacente 0 0
## 3807 Rural Adjacente 0 0
## 3808 Urbano 0 0
## 3809 Intermediário Adjacente 0 1
## 3810 Urbano 0 0
## 3811 Rural Adjacente 0 0
## 3812 Urbano 0 0
## 3813 Urbano 0 0
## 3814 Urbano 0 0
## 3815 Rural Adjacente 0 0
## 3816 Urbano 0 0
## 3817 Rural Adjacente 0 0
## 3818 Rural Adjacente 0 0
## 3819 Rural Adjacente 0 0
## 3820 Urbano 0 0
## 3821 Intermediário Adjacente 0 1
## 3822 Rural Adjacente 0 0
## 3823 Urbano 0 0
## 3824 Urbano 0 0
## 3825 Urbano 0 0
## 3826 Urbano 0 0
## 3827 Rural Adjacente 0 0
## 3828 Urbano 0 0
## 3829 Intermediário Adjacente 0 1
## 3830 Urbano 0 0
## 3831 Intermediário Adjacente 0 1
## 3832 Rural Adjacente 0 0
## 3833 Urbano 0 0
## 3834 Urbano 0 0
## 3835 Rural Adjacente 0 0
## 3836 Urbano 0 0
## 3837 Urbano 0 0
## 3838 Rural Adjacente 0 0
## 3839 Rural Adjacente 0 0
## 3840 Rural Adjacente 0 0
## 3841 Urbano 0 0
## 3842 Urbano 0 0
## 3843 Intermediário Adjacente 0 1
## 3844 Urbano 0 0
## 3845 Rural Adjacente 0 0
## 3846 Urbano 0 0
## 3847 Rural Adjacente 0 0
## 3848 Intermediário Adjacente 0 1
## 3849 Urbano 0 0
## 3850 Rural Adjacente 0 0
## 3851 Urbano 0 0
## 3852 Urbano 0 0
## 3853 Rural Adjacente 0 0
## 3854 Urbano 0 0
## 3855 Urbano 0 0
## 3856 Urbano 0 0
## 3857 Urbano 0 0
## 3858 Intermediário Adjacente 0 1
## 3859 Intermediário Adjacente 0 1
## 3860 Intermediário Adjacente 0 1
## 3861 Urbano 0 0
## 3862 Urbano 0 0
## 3863 Rural Adjacente 0 0
## 3864 Urbano 0 0
## 3865 Rural Adjacente 0 0
## 3866 Urbano 0 0
## 3867 Urbano 0 0
## 3868 Rural Adjacente 0 0
## 3869 Urbano 0 0
## 3870 Urbano 0 0
## 3871 Urbano 0 0
## 3872 Urbano 0 0
## 3873 Rural Adjacente 0 0
## 3874 Urbano 0 0
## 3875 Intermediário Adjacente 0 1
## 3876 Urbano 0 0
## 3877 Rural Adjacente 0 0
## 3878 Rural Adjacente 0 0
## 3879 Intermediário Adjacente 0 1
## 3880 Rural Adjacente 0 0
## 3881 Urbano 0 0
## 3882 Urbano 0 0
## 3883 Rural Adjacente 0 0
## 3884 Urbano 0 0
## 3885 Urbano 0 0
## 3886 Rural Adjacente 0 0
## 3887 Rural Adjacente 0 0
## 3888 Intermediário Adjacente 0 1
## 3889 Urbano 0 0
## 3890 Rural Adjacente 0 0
## 3891 Urbano 0 0
## 3892 Rural Adjacente 0 0
## 3893 Intermediário Adjacente 0 1
## 3894 Rural Adjacente 0 0
## 3895 Urbano 0 0
## 3896 Intermediário Adjacente 0 1
## 3897 Urbano 0 0
## 3898 Urbano 0 0
## 3899 Rural Adjacente 0 0
## 3900 Urbano 0 0
## 3901 Urbano 0 0
## 3902 Urbano 0 0
## 3903 Urbano 0 0
## 3904 Urbano 0 0
## 3905 Urbano 0 0
## 3906 Intermediário Adjacente 0 1
## 3907 Rural Adjacente 0 0
## 3908 Urbano 0 0
## 3909 Urbano 0 0
## 3910 Rural Adjacente 0 0
## 3911 Intermediário Adjacente 0 1
## 3912 Urbano 0 0
## 3913 Rural Adjacente 0 0
## 3914 Rural Adjacente 0 0
## 3915 Rural Adjacente 0 0
## 3916 Urbano 0 0
## 3917 Rural Adjacente 0 0
## 3918 Intermediário Adjacente 0 1
## 3919 Rural Adjacente 0 0
## 3920 Rural Adjacente 0 0
## 3921 Rural Adjacente 0 0
## 3922 Rural Adjacente 0 0
## 3923 Urbano 0 0
## 3924 Rural Adjacente 0 0
## 3925 Urbano 0 0
## 3926 Rural Adjacente 0 0
## 3927 Intermediário Adjacente 0 1
## 3928 Rural Adjacente 0 0
## 3929 Urbano 0 0
## 3930 Urbano 0 0
## 3931 Urbano 0 0
## 3932 Rural Adjacente 0 0
## 3933 Rural Adjacente 0 0
## 3934 Urbano 0 0
## 3935 Rural Adjacente 0 0
## 3936 Urbano 0 0
## 3937 Intermediário Adjacente 0 1
## 3938 Urbano 0 0
## 3939 Intermediário Adjacente 0 1
## 3940 Urbano 0 0
## 3941 Urbano 0 0
## 3942 Rural Adjacente 0 0
## 3943 Intermediário Adjacente 0 1
## 3944 Rural Adjacente 0 0
## 3945 Rural Adjacente 0 0
## 3946 Urbano 0 0
## 3947 Rural Adjacente 0 0
## 3948 Rural Adjacente 0 0
## 3949 Rural Adjacente 0 0
## 3950 Rural Adjacente 0 0
## 3951 Rural Adjacente 0 0
## 3952 Urbano 0 0
## 3953 Rural Adjacente 0 0
## 3954 Intermediário Adjacente 0 1
## 3955 Rural Adjacente 0 0
## 3956 Intermediário Adjacente 0 1
## 3957 Rural Adjacente 0 0
## 3958 Rural Adjacente 0 0
## 3959 Rural Adjacente 0 0
## 3960 Urbano 0 0
## 3961 Rural Adjacente 0 0
## 3962 Intermediário Adjacente 0 1
## 3963 Urbano 0 0
## 3964 Urbano 0 0
## 3965 Urbano 0 0
## 3966 Intermediário Adjacente 0 1
## 3967 Rural Adjacente 0 0
## 3968 Urbano 0 0
## 3969 Rural Adjacente 0 0
## 3970 Rural Adjacente 0 0
## 3971 Urbano 0 0
## 3972 Urbano 0 0
## 3973 Urbano 0 0
## 3974 Rural Adjacente 0 0
## 3975 Rural Adjacente 0 0
## 3976 Rural Adjacente 0 0
## 3977 Rural Adjacente 0 0
## 3978 Intermediário Adjacente 0 1
## 3979 Urbano 0 0
## 3980 Rural Adjacente 0 0
## 3981 Urbano 0 0
## 3982 Urbano 0 0
## 3983 Rural Adjacente 0 0
## 3984 Intermediário Adjacente 0 1
## 3985 Rural Adjacente 0 0
## 3986 Rural Adjacente 0 0
## 3987 Intermediário Adjacente 0 1
## 3988 Urbano 0 0
## 3989 Intermediário Adjacente 0 1
## 3990 Urbano 0 0
## 3991 Urbano 0 0
## 3992 Urbano 0 0
## 3993 Rural Adjacente 0 0
## 3994 Rural Adjacente 0 0
## 3995 Urbano 0 0
## 3996 Intermediário Adjacente 0 1
## 3997 Urbano 0 0
## 3998 Rural Adjacente 0 0
## 3999 Intermediário Adjacente 0 1
## 4000 Rural Adjacente 0 0
## 4001 Rural Adjacente 0 0
## 4002 Urbano 0 0
## 4003 Urbano 0 0
## 4004 Rural Adjacente 0 0
## 4005 Rural Adjacente 0 0
## 4006 Urbano 0 0
## 4007 Rural Adjacente 0 0
## 4008 Intermediário Adjacente 0 1
## 4009 Rural Adjacente 0 0
## 4010 Rural Adjacente 0 0
## 4011 Urbano 0 0
## 4012 Rural Adjacente 0 0
## 4013 Intermediário Adjacente 0 1
## 4014 Rural Adjacente 0 0
## 4015 Rural Adjacente 0 0
## 4016 Rural Adjacente 0 0
## 4017 Rural Adjacente 0 0
## 4018 Rural Adjacente 0 0
## 4019 Rural Adjacente 0 0
## 4020 Urbano 0 0
## 4021 Urbano 0 0
## 4022 Intermediário Adjacente 0 1
## 4023 Rural Adjacente 0 0
## 4024 Rural Adjacente 0 0
## 4025 Intermediário Adjacente 0 1
## 4026 Rural Adjacente 0 0
## 4027 Urbano 0 0
## 4028 Intermediário Adjacente 0 1
## 4029 Rural Adjacente 0 0
## 4030 Rural Adjacente 0 0
## 4031 Urbano 0 0
## 4032 Rural Adjacente 0 0
## 4033 Urbano 0 0
## 4034 Rural Adjacente 0 0
## 4035 Rural Adjacente 0 0
## 4036 Rural Adjacente 0 0
## 4037 Urbano 0 0
## 4038 Rural Adjacente 0 0
## 4039 Rural Adjacente 0 0
## 4040 Urbano 0 0
## 4041 Intermediário Adjacente 0 1
## 4042 Rural Adjacente 0 0
## 4043 Rural Adjacente 0 0
## 4044 Rural Adjacente 0 0
## 4045 Rural Adjacente 0 0
## 4046 Rural Adjacente 0 0
## 4047 Urbano 0 0
## 4048 Rural Adjacente 0 0
## 4049 Intermediário Adjacente 0 1
## 4050 Rural Adjacente 0 0
## 4051 Intermediário Adjacente 0 1
## 4052 Rural Adjacente 0 0
## 4053 Urbano 0 0
## 4054 Rural Adjacente 0 0
## 4055 Urbano 0 0
## 4056 Rural Adjacente 0 0
## 4057 Rural Adjacente 0 0
## 4058 Intermediário Adjacente 0 1
## 4059 Rural Adjacente 0 0
## 4060 Rural Adjacente 0 0
## 4061 Rural Adjacente 0 0
## 4062 Rural Adjacente 0 0
## 4063 Intermediário Adjacente 0 1
## 4064 Rural Adjacente 0 0
## 4065 Urbano 0 0
## 4066 Rural Adjacente 0 0
## 4067 Intermediário Adjacente 0 1
## 4068 Rural Adjacente 0 0
## 4069 Rural Adjacente 0 0
## 4070 Urbano 0 0
## 4071 Rural Adjacente 0 0
## 4072 Urbano 0 0
## 4073 Rural Adjacente 0 0
## 4074 Rural Adjacente 0 0
## 4075 Urbano 0 0
## 4076 Rural Adjacente 0 0
## 4077 Rural Adjacente 0 0
## 4078 Rural Adjacente 0 0
## 4079 Urbano 0 0
## 4080 Urbano 0 0
## 4081 Urbano 0 0
## 4082 Urbano 0 0
## 4083 Rural Adjacente 0 0
## 4084 Rural Adjacente 0 0
## 4085 Intermediário Adjacente 0 1
## 4086 Rural Adjacente 0 0
## 4087 Rural Adjacente 0 0
## 4088 Urbano 0 0
## 4089 Rural Adjacente 0 0
## 4090 Intermediário Adjacente 0 1
## 4091 Rural Adjacente 0 0
## 4092 Rural Adjacente 0 0
## 4093 Intermediário Adjacente 0 1
## 4094 Rural Adjacente 0 0
## 4095 Urbano 0 0
## 4096 Rural Adjacente 0 0
## 4097 Intermediário Adjacente 0 1
## 4098 Rural Adjacente 0 0
## 4099 Rural Adjacente 0 0
## 4100 Rural Adjacente 0 0
## 4101 Urbano 0 0
## 4102 Intermediário Adjacente 0 1
## 4103 Urbano 0 0
## 4104 Rural Adjacente 0 0
## 4105 Rural Adjacente 0 0
## 4106 Rural Adjacente 0 0
## 4107 Rural Adjacente 0 0
## 4108 Rural Adjacente 0 0
## 4109 Urbano 0 0
## 4110 Urbano 0 0
## 4111 Urbano 0 0
## 4112 Rural Adjacente 0 0
## 4113 Rural Adjacente 0 0
## 4114 Rural Adjacente 0 0
## 4115 Urbano 0 0
## 4116 Urbano 0 0
## 4117 Urbano 0 0
## 4118 Rural Adjacente 0 0
## 4119 Intermediário Adjacente 0 1
## 4120 Intermediário Adjacente 0 1
## 4121 Urbano 0 0
## 4122 Rural Adjacente 0 0
## 4123 Rural Adjacente 0 0
## 4124 Rural Adjacente 0 0
## 4125 Rural Adjacente 0 0
## 4126 Rural Adjacente 0 0
## 4127 Rural Adjacente 0 0
## 4128 Urbano 0 0
## 4129 Rural Adjacente 0 0
## 4130 Intermediário Adjacente 0 1
## 4131 Urbano 0 0
## 4132 Rural Adjacente 0 0
## 4133 Rural Adjacente 0 0
## 4134 Rural Adjacente 0 0
## 4135 Rural Adjacente 0 0
## 4136 Rural Adjacente 0 0
## 4137 Rural Adjacente 0 0
## 4138 Rural Adjacente 0 0
## 4139 Rural Adjacente 0 0
## 4140 Rural Adjacente 0 0
## 4141 Rural Adjacente 0 0
## 4142 Rural Adjacente 0 0
## 4143 Rural Adjacente 0 0
## 4144 Urbano 0 0
## 4145 Rural Adjacente 0 0
## 4146 Intermediário Adjacente 0 1
## 4147 Rural Adjacente 0 0
## 4148 Urbano 0 0
## 4149 Rural Adjacente 0 0
## 4150 Rural Adjacente 0 0
## 4151 Rural Adjacente 0 0
## 4152 Rural Adjacente 0 0
## 4153 Rural Adjacente 0 0
## 4154 Rural Adjacente 0 0
## 4155 Rural Adjacente 0 0
## 4156 Urbano 0 0
## 4157 Urbano 0 0
## 4158 Urbano 0 0
## 4159 Urbano 0 0
## 4160 Intermediário Adjacente 0 1
## 4161 Rural Adjacente 0 0
## 4162 Urbano 0 0
## 4163 Intermediário Adjacente 0 1
## 4164 Urbano 0 0
## 4165 Urbano 0 0
## 4166 Rural Adjacente 0 0
## 4167 Urbano 0 0
## 4168 Rural Adjacente 0 0
## 4169 Urbano 0 0
## 4170 Rural Adjacente 0 0
## 4171 Rural Adjacente 0 0
## 4172 Urbano 0 0
## 4173 Rural Adjacente 0 0
## 4174 Intermediário Adjacente 0 1
## 4175 Rural Adjacente 0 0
## 4176 Rural Adjacente 0 0
## 4177 Urbano 0 0
## 4178 Rural Adjacente 0 0
## 4179 Rural Adjacente 0 0
## 4180 Intermediário Adjacente 0 1
## 4181 Intermediário Adjacente 0 1
## 4182 Urbano 0 0
## 4183 Intermediário Adjacente 0 1
## 4184 Rural Adjacente 0 0
## 4185 Rural Adjacente 0 0
## 4186 Rural Adjacente 0 0
## 4187 Urbano 0 0
## 4188 Urbano 0 0
## 4189 Urbano 0 0
## 4190 Rural Adjacente 0 0
## 4191 Rural Adjacente 0 0
## 4192 Rural Adjacente 0 0
## 4193 Rural Adjacente 0 0
## 4194 Rural Adjacente 0 0
## 4195 Intermediário Adjacente 0 1
## 4196 Urbano 0 0
## 4197 Intermediário Adjacente 0 1
## 4198 Rural Adjacente 0 0
## 4199 Rural Adjacente 0 0
## 4200 Intermediário Adjacente 0 1
## 4201 Urbano 0 0
## 4202 Rural Adjacente 0 0
## 4203 Intermediário Adjacente 0 1
## 4204 Rural Adjacente 0 0
## 4205 Rural Adjacente 0 0
## 4206 Rural Adjacente 0 0
## 4207 Rural Adjacente 0 0
## 4208 Intermediário Adjacente 0 1
## 4209 Rural Adjacente 0 0
## 4210 Intermediário Adjacente 0 1
## 4211 Rural Adjacente 0 0
## 4212 Rural Adjacente 0 0
## 4213 Rural Adjacente 0 0
## 4214 Rural Adjacente 0 0
## 4215 Rural Adjacente 0 0
## 4216 Urbano 0 0
## 4217 Rural Adjacente 0 0
## 4218 Rural Adjacente 0 0
## 4219 Rural Adjacente 0 0
## 4220 Rural Adjacente 0 0
## 4221 Urbano 0 0
## 4222 Urbano 0 0
## 4223 Urbano 0 0
## 4224 Rural Adjacente 0 0
## 4225 Intermediário Adjacente 0 1
## 4226 Rural Adjacente 0 0
## 4227 Intermediário Adjacente 0 1
## 4228 Rural Adjacente 0 0
## 4229 Rural Adjacente 0 0
## 4230 Rural Adjacente 0 0
## 4231 Rural Adjacente 0 0
## 4232 Rural Adjacente 0 0
## 4233 Rural Adjacente 0 0
## 4234 Intermediário Adjacente 0 1
## 4235 Rural Adjacente 0 0
## 4236 Rural Adjacente 0 0
## 4237 Rural Adjacente 0 0
## 4238 Rural Adjacente 0 0
## 4239 Rural Adjacente 0 0
## 4240 Rural Adjacente 0 0
## 4241 Rural Adjacente 0 0
## 4242 Rural Adjacente 0 0
## 4243 Rural Adjacente 0 0
## 4244 Urbano 0 0
## 4245 Urbano 0 0
## 4246 Urbano 0 0
## 4247 Rural Adjacente 0 0
## 4248 Rural Adjacente 0 0
## 4249 Intermediário Adjacente 0 1
## 4250 Intermediário Adjacente 0 1
## 4251 Intermediário Adjacente 0 1
## 4252 Rural Adjacente 0 0
## 4253 Rural Adjacente 0 0
## 4254 Intermediário Adjacente 0 1
## 4255 Rural Adjacente 0 0
## 4256 Rural Adjacente 0 0
## 4257 Rural Adjacente 0 0
## 4258 Intermediário Adjacente 0 1
## 4259 Rural Adjacente 0 0
## 4260 Rural Adjacente 0 0
## 4261 Rural Adjacente 0 0
## 4262 Urbano 0 0
## 4263 Rural Adjacente 0 0
## 4264 Intermediário Adjacente 0 1
## 4265 Intermediário Adjacente 0 1
## 4266 Rural Adjacente 0 0
## 4267 Intermediário Adjacente 0 1
## 4268 Rural Adjacente 0 0
## 4269 Intermediário Adjacente 0 1
## 4270 Intermediário Adjacente 0 1
## 4271 Rural Adjacente 0 0
## 4272 Urbano 0 0
## 4273 Rural Adjacente 0 0
## 4274 Intermediário Adjacente 0 1
## 4275 Rural Adjacente 0 0
## 4276 Intermediário Adjacente 0 1
## 4277 Urbano 0 0
## 4278 Intermediário Adjacente 0 1
## 4279 Rural Adjacente 0 0
## 4280 Rural Adjacente 0 0
## 4281 Rural Adjacente 0 0
## 4282 Urbano 0 0
## 4283 Rural Adjacente 0 0
## 4284 Rural Adjacente 0 0
## 4285 Urbano 0 0
## 4286 Urbano 0 0
## 4287 Intermediário Adjacente 0 1
## 4288 Intermediário Adjacente 0 1
## 4289 Rural Adjacente 0 0
## 4290 Rural Adjacente 0 0
## 4291 Urbano 0 0
## 4292 Rural Adjacente 0 0
## 4293 Rural Adjacente 0 0
## 4294 Rural Adjacente 0 0
## 4295 Rural Adjacente 0 0
## 4296 Rural Adjacente 0 0
## 4297 Rural Adjacente 0 0
## 4298 Urbano 0 0
## 4299 Urbano 0 0
## 4300 Urbano 0 0
## 4301 Rural Adjacente 0 0
## 4302 Rural Adjacente 0 0
## 4303 Urbano 0 0
## 4304 Rural Adjacente 0 0
## 4305 Rural Adjacente 0 0
## 4306 Rural Adjacente 0 0
## 4307 Rural Adjacente 0 0
## 4308 Rural Adjacente 0 0
## 4309 Rural Adjacente 0 0
## 4310 Rural Adjacente 0 0
## 4311 Rural Adjacente 0 0
## 4312 Rural Adjacente 0 0
## 4313 Rural Adjacente 0 0
## 4314 Rural Adjacente 0 0
## 4315 Urbano 0 0
## 4316 Rural Adjacente 0 0
## 4317 Rural Adjacente 0 0
## 4318 Rural Adjacente 0 0
## 4319 Urbano 0 0
## 4320 Rural Adjacente 0 0
## 4321 Rural Adjacente 0 0
## 4322 Rural Adjacente 0 0
## 4323 Rural Adjacente 0 0
## 4324 Rural Adjacente 0 0
## 4325 Rural Adjacente 0 0
## 4326 Urbano 0 0
## 4327 Rural Adjacente 0 0
## 4328 Rural Adjacente 0 0
## 4329 Urbano 0 0
## 4330 Urbano 0 0
## 4331 Rural Adjacente 0 0
## 4332 Rural Adjacente 0 0
## 4333 Rural Adjacente 0 0
## 4334 Rural Adjacente 0 0
## 4335 Rural Adjacente 0 0
## 4336 Rural Adjacente 0 0
## 4337 Rural Adjacente 0 0
## 4338 Urbano 0 0
## 4339 Rural Adjacente 0 0
## 4340 Intermediário Adjacente 0 1
## 4341 Rural Adjacente 0 0
## 4342 Rural Adjacente 0 0
## 4343 Urbano 0 0
## 4344 Rural Adjacente 0 0
## 4345 Rural Adjacente 0 0
## 4346 Rural Adjacente 0 0
## 4347 Urbano 0 0
## 4348 Urbano 0 0
## 4349 Rural Adjacente 0 0
## 4350 Urbano 0 0
## 4351 Rural Adjacente 0 0
## 4352 Rural Adjacente 0 0
## 4353 Rural Adjacente 0 0
## 4354 Rural Adjacente 0 0
## 4355 Urbano 0 0
## 4356 Urbano 0 0
## 4357 Rural Adjacente 0 0
## 4358 Rural Adjacente 0 0
## 4359 Urbano 0 0
## 4360 Urbano 0 0
## 4361 Rural Adjacente 0 0
## 4362 Rural Adjacente 0 0
## 4363 Urbano 0 0
## 4364 Rural Adjacente 0 0
## 4365 Rural Adjacente 0 0
## 4366 Rural Adjacente 0 0
## 4367 Rural Adjacente 0 0
## 4368 Urbano 0 0
## 4369 Rural Adjacente 0 0
## 4370 Urbano 0 0
## 4371 Intermediário Adjacente 0 1
## 4372 Urbano 0 0
## 4373 Rural Adjacente 0 0
## 4374 Rural Adjacente 0 0
## 4375 Rural Adjacente 0 0
## 4376 Rural Adjacente 0 0
## 4377 Rural Adjacente 0 0
## 4378 Urbano 0 0
## 4379 Urbano 0 0
## 4380 Urbano 0 0
## 4381 Urbano 0 0
## 4382 Rural Adjacente 0 0
## 4383 Rural Adjacente 0 0
## 4384 Urbano 0 0
## 4385 Urbano 0 0
## 4386 Urbano 0 0
## 4387 Rural Adjacente 0 0
## 4388 Rural Adjacente 0 0
## 4389 Urbano 0 0
## 4390 Rural Adjacente 0 0
## 4391 Intermediário Adjacente 0 1
## 4392 Rural Adjacente 0 0
## 4393 Rural Adjacente 0 0
## 4394 Rural Adjacente 0 0
## 4395 Rural Adjacente 0 0
## 4396 Rural Adjacente 0 0
## 4397 Rural Adjacente 0 0
## 4398 Rural Adjacente 0 0
## 4399 Urbano 0 0
## 4400 Rural Adjacente 0 0
## 4401 Urbano 0 0
## 4402 Intermediário Adjacente 0 1
## 4403 Rural Adjacente 0 0
## 4404 Rural Adjacente 0 0
## 4405 Urbano 0 0
## 4406 Rural Adjacente 0 0
## 4407 Urbano 0 0
## 4408 Urbano 0 0
## 4409 Rural Adjacente 0 0
## 4410 Urbano 0 0
## 4411 Urbano 0 0
## 4412 Rural Adjacente 0 0
## 4413 Urbano 0 0
## 4414 Rural Adjacente 0 0
## 4415 Urbano 0 0
## 4416 Urbano 0 0
## 4417 Rural Adjacente 0 0
## 4418 Rural Adjacente 0 0
## 4419 Rural Adjacente 0 0
## 4420 Urbano 0 0
## 4421 Urbano 0 0
## 4422 Rural Adjacente 0 0
## 4423 Urbano 0 0
## 4424 Rural Adjacente 0 0
## 4425 Urbano 0 0
## 4426 Rural Adjacente 0 0
## 4427 Rural Adjacente 0 0
## 4428 Rural Adjacente 0 0
## 4429 Rural Adjacente 0 0
## 4430 Rural Adjacente 0 0
## 4431 Rural Adjacente 0 0
## 4432 Rural Adjacente 0 0
## 4433 Rural Adjacente 0 0
## 4434 Rural Adjacente 0 0
## 4435 Rural Adjacente 0 0
## 4436 Rural Adjacente 0 0
## 4437 Urbano 0 0
## 4438 Urbano 0 0
## 4439 Rural Adjacente 0 0
## 4440 Rural Adjacente 0 0
## 4441 Rural Adjacente 0 0
## 4442 Rural Adjacente 0 0
## 4443 Rural Adjacente 0 0
## 4444 Rural Adjacente 0 0
## 4445 Urbano 0 0
## 4446 Rural Adjacente 0 0
## 4447 Urbano 0 0
## 4448 Urbano 0 0
## 4449 Rural Adjacente 0 0
## 4450 Rural Adjacente 0 0
## 4451 Rural Adjacente 0 0
## 4452 Urbano 0 0
## 4453 Urbano 0 0
## 4454 Rural Adjacente 0 0
## 4455 Rural Adjacente 0 0
## 4456 Rural Adjacente 0 0
## 4457 Rural Adjacente 0 0
## 4458 Rural Adjacente 0 0
## 4459 Rural Adjacente 0 0
## 4460 Urbano 0 0
## 4461 Rural Adjacente 0 0
## 4462 Urbano 0 0
## 4463 Rural Adjacente 0 0
## 4464 Urbano 0 0
## 4465 Rural Adjacente 0 0
## 4466 Rural Adjacente 0 0
## 4467 Rural Adjacente 0 0
## 4468 Urbano 0 0
## 4469 Rural Adjacente 0 0
## 4470 Rural Adjacente 0 0
## 4471 Rural Adjacente 0 0
## 4472 Rural Adjacente 0 0
## 4473 Rural Adjacente 0 0
## 4474 Rural Adjacente 0 0
## 4475 Rural Adjacente 0 0
## 4476 Intermediário Adjacente 0 1
## 4477 Rural Adjacente 0 0
## 4478 Urbano 0 0
## 4479 Urbano 0 0
## 4480 Urbano 0 0
## 4481 Rural Adjacente 0 0
## 4482 Rural Adjacente 0 0
## 4483 Rural Adjacente 0 0
## 4484 Urbano 0 0
## 4485 Rural Adjacente 0 0
## 4486 Intermediário Adjacente 0 1
## 4487 Urbano 0 0
## 4488 Intermediário Adjacente 0 1
## 4489 Rural Adjacente 0 0
## 4490 Rural Adjacente 0 0
## 4491 Rural Adjacente 0 0
## 4492 Urbano 0 0
## 4493 Rural Adjacente 0 0
## 4494 Rural Adjacente 0 0
## 4495 Rural Adjacente 0 0
## 4496 Rural Adjacente 0 0
## 4497 Rural Adjacente 0 0
## 4498 Urbano 0 0
## 4499 Rural Adjacente 0 0
## 4500 Urbano 0 0
## 4501 Rural Adjacente 0 0
## 4502 Urbano 0 0
## 4503 Rural Adjacente 0 0
## 4504 Sem classificação 0 0
## 4505 Rural Adjacente 0 0
## 4506 Urbano 0 0
## 4507 Urbano 0 0
## 4508 Rural Adjacente 0 0
## 4509 Rural Adjacente 0 0
## 4510 Rural Adjacente 0 0
## 4511 Intermediário Adjacente 0 1
## 4512 Rural Adjacente 0 0
## 4513 Rural Adjacente 0 0
## 4514 Rural Adjacente 0 0
## 4515 Urbano 0 0
## 4516 Urbano 0 0
## 4517 Rural Adjacente 0 0
## 4518 Rural Adjacente 0 0
## 4519 Rural Adjacente 0 0
## 4520 Rural Adjacente 0 0
## 4521 Rural Adjacente 0 0
## 4522 Rural Adjacente 0 0
## 4523 Rural Adjacente 0 0
## 4524 Rural Adjacente 0 0
## 4525 Rural Adjacente 0 0
## 4526 Rural Adjacente 0 0
## 4527 Rural Adjacente 0 0
## 4528 Rural Adjacente 0 0
## 4529 Urbano 0 0
## 4530 Rural Adjacente 0 0
## 4531 Urbano 0 0
## 4532 Rural Adjacente 0 0
## 4533 Rural Adjacente 0 0
## 4534 Rural Adjacente 0 0
## 4535 Rural Adjacente 0 0
## 4536 Rural Adjacente 0 0
## 4537 Rural Adjacente 0 0
## 4538 Intermediário Adjacente 0 1
## 4539 Rural Adjacente 0 0
## 4540 Urbano 0 0
## 4541 Rural Adjacente 0 0
## 4542 Rural Adjacente 0 0
## 4543 Rural Adjacente 0 0
## 4544 Rural Adjacente 0 0
## 4545 Rural Adjacente 0 0
## 4546 Rural Adjacente 0 0
## 4547 Urbano 0 0
## 4548 Rural Adjacente 0 0
## 4549 Urbano 0 0
## 4550 Rural Adjacente 0 0
## 4551 Rural Adjacente 0 0
## 4552 Intermediário Adjacente 0 1
## 4553 Rural Adjacente 0 0
## 4554 Urbano 0 0
## 4555 Rural Adjacente 0 0
## 4556 Urbano 0 0
## 4557 Rural Adjacente 0 0
## 4558 Rural Adjacente 0 0
## 4559 Intermediário Adjacente 0 1
## 4560 Urbano 0 0
## 4561 Rural Adjacente 0 0
## 4562 Rural Adjacente 0 0
## 4563 Intermediário Adjacente 0 1
## 4564 Intermediário Adjacente 0 1
## 4565 Rural Adjacente 0 0
## 4566 Rural Adjacente 0 0
## 4567 Urbano 0 0
## 4568 Urbano 0 0
## 4569 Rural Adjacente 0 0
## 4570 Urbano 0 0
## 4571 Intermediário Adjacente 0 1
## 4572 Rural Adjacente 0 0
## 4573 Urbano 0 0
## 4574 Intermediário Adjacente 0 1
## 4575 Rural Adjacente 0 0
## 4576 Rural Adjacente 0 0
## 4577 Rural Adjacente 0 0
## 4578 Rural Adjacente 0 0
## 4579 Urbano 0 0
## 4580 Rural Adjacente 0 0
## 4581 Urbano 0 0
## 4582 Rural Adjacente 0 0
## 4583 Intermediário Adjacente 0 1
## 4584 Urbano 0 0
## 4585 Rural Adjacente 0 0
## 4586 Rural Adjacente 0 0
## 4587 Rural Adjacente 0 0
## 4588 Urbano 0 0
## 4589 Rural Adjacente 0 0
## 4590 Rural Adjacente 0 0
## 4591 Rural Adjacente 0 0
## 4592 Rural Adjacente 0 0
## 4593 Rural Adjacente 0 0
## 4594 Urbano 0 0
## 4595 Rural Adjacente 0 0
## 4596 Rural Adjacente 0 0
## 4597 Rural Adjacente 0 0
## 4598 Rural Adjacente 0 0
## 4599 Urbano 0 0
## 4600 Rural Adjacente 0 0
## 4601 Rural Adjacente 0 0
## 4602 Urbano 0 0
## 4603 Rural Adjacente 0 0
## 4604 Urbano 0 0
## 4605 Intermediário Adjacente 0 1
## 4606 Sem classificação 0 0
## 4607 Urbano 0 0
## 4608 Rural Adjacente 0 0
## 4609 Rural Adjacente 0 0
## 4610 Rural Adjacente 0 0
## 4611 Rural Adjacente 0 0
## 4612 Urbano 0 0
## 4613 Rural Adjacente 0 0
## 4614 Rural Adjacente 0 0
## 4615 Rural Adjacente 0 0
## 4616 Rural Adjacente 0 0
## 4617 Rural Adjacente 0 0
## 4618 Urbano 0 0
## 4619 Rural Adjacente 0 0
## 4620 Rural Adjacente 0 0
## 4621 Rural Adjacente 0 0
## 4622 Rural Adjacente 0 0
## 4623 Rural Adjacente 0 0
## 4624 Rural Adjacente 0 0
## 4625 Urbano 0 0
## 4626 Rural Adjacente 0 0
## 4627 Urbano 0 0
## 4628 Rural Adjacente 0 0
## 4629 Urbano 0 0
## 4630 Urbano 0 0
## 4631 Rural Adjacente 0 0
## 4632 Urbano 0 0
## 4633 Rural Adjacente 0 0
## 4634 Rural Adjacente 0 0
## 4635 Rural Adjacente 0 0
## 4636 Urbano 0 0
## 4637 Intermediário Adjacente 0 1
## 4638 Rural Adjacente 0 0
## 4639 Rural Adjacente 0 0
## 4640 Rural Adjacente 0 0
## 4641 Rural Adjacente 0 0
## 4642 Rural Adjacente 0 0
## 4643 Rural Adjacente 0 0
## 4644 Rural Adjacente 0 0
## 4645 Rural Adjacente 0 0
## 4646 Rural Adjacente 0 0
## 4647 Rural Adjacente 0 0
## 4648 Rural Adjacente 0 0
## 4649 Urbano 0 0
## 4650 Rural Adjacente 0 0
## 4651 Rural Adjacente 0 0
## 4652 Rural Adjacente 0 0
## 4653 Rural Adjacente 0 0
## 4654 Rural Adjacente 0 0
## 4655 Rural Adjacente 0 0
## 4656 Rural Adjacente 0 0
## 4657 Rural Adjacente 0 0
## 4658 Urbano 0 0
## 4659 Rural Adjacente 0 0
## 4660 Rural Adjacente 0 0
## 4661 Rural Adjacente 0 0
## 4662 Rural Adjacente 0 0
## 4663 Rural Adjacente 0 0
## 4664 Urbano 0 0
## 4665 Intermediário Adjacente 0 1
## 4666 Rural Adjacente 0 0
## 4667 Urbano 0 0
## 4668 Urbano 0 0
## 4669 Rural Adjacente 0 0
## 4670 Rural Adjacente 0 0
## 4671 Rural Adjacente 0 0
## 4672 Urbano 0 0
## 4673 Rural Adjacente 0 0
## 4674 Rural Adjacente 0 0
## 4675 Rural Adjacente 0 0
## 4676 Rural Adjacente 0 0
## 4677 Rural Adjacente 0 0
## 4678 Urbano 0 0
## 4679 Rural Adjacente 0 0
## 4680 Rural Adjacente 0 0
## 4681 Rural Adjacente 0 0
## 4682 Rural Adjacente 0 0
## 4683 Urbano 0 0
## 4684 Urbano 0 0
## 4685 Rural Adjacente 0 0
## 4686 Urbano 0 0
## 4687 Rural Adjacente 0 0
## 4688 Rural Adjacente 0 0
## 4689 Urbano 0 0
## 4690 Rural Adjacente 0 0
## 4691 Urbano 0 0
## 4692 Rural Adjacente 0 0
## 4693 Urbano 0 0
## 4694 Rural Adjacente 0 0
## 4695 Urbano 0 0
## 4696 Rural Adjacente 0 0
## 4697 Urbano 0 0
## 4698 Rural Adjacente 0 0
## 4699 Rural Adjacente 0 0
## 4700 Rural Adjacente 0 0
## 4701 Rural Adjacente 0 0
## 4702 Urbano 0 0
## 4703 Rural Adjacente 0 0
## 4704 Rural Adjacente 0 0
## 4705 Rural Adjacente 0 0
## 4706 Rural Adjacente 0 0
## 4707 Rural Adjacente 0 0
## 4708 Intermediário Adjacente 0 1
## 4709 Rural Adjacente 0 0
## 4710 Urbano 0 0
## 4711 Rural Adjacente 0 0
## 4712 Rural Adjacente 0 0
## 4713 Intermediário Remoto 0 0
## 4714 Rural Adjacente 0 0
## 4715 Intermediário Adjacente 0 1
## 4716 Rural Adjacente 0 0
## 4717 Rural Adjacente 0 0
## 4718 Rural Adjacente 0 0
## 4719 Rural Adjacente 0 0
## 4720 Rural Adjacente 0 0
## 4721 Rural Adjacente 0 0
## 4722 Rural Adjacente 0 0
## 4723 Rural Adjacente 0 0
## 4724 Rural Adjacente 0 0
## 4725 Rural Adjacente 0 0
## 4726 Rural Adjacente 0 0
## 4727 Rural Adjacente 0 0
## 4728 Rural Adjacente 0 0
## 4729 Rural Adjacente 0 0
## 4730 Rural Adjacente 0 0
## 4731 Urbano 0 0
## 4732 Rural Adjacente 0 0
## 4733 Urbano 0 0
## 4734 Rural Adjacente 0 0
## 4735 Rural Adjacente 0 0
## 4736 Rural Adjacente 0 0
## 4737 Rural Adjacente 0 0
## 4738 Urbano 0 0
## 4739 Rural Adjacente 0 0
## 4740 Rural Adjacente 0 0
## 4741 Rural Adjacente 0 0
## 4742 Rural Adjacente 0 0
## 4743 Urbano 0 0
## 4744 Rural Adjacente 0 0
## 4745 Rural Adjacente 0 0
## 4746 Rural Adjacente 0 0
## 4747 Urbano 0 0
## 4748 Urbano 0 0
## 4749 Intermediário Adjacente 0 1
## 4750 Rural Adjacente 0 0
## 4751 Urbano 0 0
## 4752 Rural Adjacente 0 0
## 4753 Rural Adjacente 0 0
## 4754 Urbano 0 0
## 4755 Rural Adjacente 0 0
## 4756 Rural Adjacente 0 0
## 4757 Rural Adjacente 0 0
## 4758 Rural Adjacente 0 0
## 4759 Rural Adjacente 0 0
## 4760 Rural Adjacente 0 0
## 4761 Intermediário Adjacente 0 1
## 4762 Urbano 0 0
## 4763 Urbano 0 0
## 4764 Urbano 0 0
## 4765 Urbano 0 0
## 4766 Rural Adjacente 0 0
## 4767 Rural Adjacente 0 0
## 4768 Rural Adjacente 0 0
## 4769 Urbano 0 0
## 4770 Rural Adjacente 0 0
## 4771 Rural Adjacente 0 0
## 4772 Urbano 0 0
## 4773 Rural Adjacente 0 0
## 4774 Intermediário Adjacente 0 1
## 4775 Rural Adjacente 0 0
## 4776 Rural Adjacente 0 0
## 4777 Rural Adjacente 0 0
## 4778 Urbano 0 0
## 4779 Rural Adjacente 0 0
## 4780 Urbano 0 0
## 4781 Urbano 0 0
## 4782 Rural Remoto 0 0
## 4783 Rural Adjacente 0 0
## 4784 Rural Adjacente 0 0
## 4785 Rural Adjacente 0 0
## 4786 Urbano 0 0
## 4787 Intermediário Adjacente 0 1
## 4788 Urbano 0 0
## 4789 Urbano 0 0
## 4790 Rural Adjacente 0 0
## 4791 Rural Adjacente 0 0
## 4792 Urbano 0 0
## 4793 Rural Adjacente 0 0
## 4794 Urbano 0 0
## 4795 Urbano 0 0
## 4796 Rural Adjacente 0 0
## 4797 Rural Adjacente 0 0
## 4798 Rural Adjacente 0 0
## 4799 Urbano 0 0
## 4800 Urbano 0 0
## 4801 Rural Adjacente 0 0
## 4802 Rural Adjacente 0 0
## 4803 Rural Adjacente 0 0
## 4804 Rural Adjacente 0 0
## 4805 Rural Adjacente 0 0
## 4806 Intermediário Adjacente 0 1
## 4807 Urbano 0 0
## 4808 Urbano 0 0
## 4809 Rural Adjacente 0 0
## 4810 Urbano 0 0
## 4811 Rural Adjacente 0 0
## 4812 Rural Adjacente 0 0
## 4813 Rural Adjacente 0 0
## 4814 Rural Adjacente 0 0
## 4815 Rural Adjacente 0 0
## 4816 Rural Adjacente 0 0
## 4817 Urbano 0 0
## 4818 Rural Adjacente 0 0
## 4819 Rural Adjacente 0 0
## 4820 Urbano 0 0
## 4821 Rural Adjacente 0 0
## 4822 Rural Adjacente 0 0
## 4823 Rural Adjacente 0 0
## 4824 Urbano 0 0
## 4825 Rural Adjacente 0 0
## 4826 Rural Adjacente 0 0
## 4827 Rural Adjacente 0 0
## 4828 Urbano 0 0
## 4829 Rural Adjacente 0 0
## 4830 Rural Adjacente 0 0
## 4831 Rural Adjacente 0 0
## 4832 Rural Adjacente 0 0
## 4833 Urbano 0 0
## 4834 Rural Adjacente 0 0
## 4835 Rural Adjacente 0 0
## 4836 Rural Adjacente 0 0
## 4837 Urbano 0 0
## 4838 Urbano 0 0
## 4839 Rural Adjacente 0 0
## 4840 Intermediário Adjacente 0 1
## 4841 Rural Adjacente 0 0
## 4842 Urbano 0 0
## 4843 Rural Adjacente 0 0
## 4844 Rural Adjacente 0 0
## 4845 Rural Remoto 0 0
## 4846 Rural Adjacente 0 0
## 4847 Intermediário Adjacente 0 1
## 4848 Rural Adjacente 0 0
## 4849 Rural Adjacente 0 0
## 4850 Urbano 0 0
## 4851 Rural Adjacente 0 0
## 4852 Rural Adjacente 0 0
## 4853 Rural Adjacente 0 0
## 4854 Rural Adjacente 0 0
## 4855 Rural Adjacente 0 0
## 4856 Rural Adjacente 0 0
## 4857 Rural Adjacente 0 0
## 4858 Rural Adjacente 0 0
## 4859 Rural Adjacente 0 0
## 4860 Rural Adjacente 0 0
## 4861 Rural Adjacente 0 0
## 4862 Rural Adjacente 0 0
## 4863 Rural Adjacente 0 0
## 4864 Urbano 0 0
## 4865 Urbano 0 0
## 4866 Rural Adjacente 0 0
## 4867 Rural Adjacente 0 0
## 4868 Rural Adjacente 0 0
## 4869 Urbano 0 0
## 4870 Rural Adjacente 0 0
## 4871 Rural Adjacente 0 0
## 4872 Rural Adjacente 0 0
## 4873 Rural Adjacente 0 0
## 4874 Urbano 0 0
## 4875 Rural Adjacente 0 0
## 4876 Intermediário Adjacente 0 1
## 4877 Rural Adjacente 0 0
## 4878 Rural Adjacente 0 0
## 4879 Rural Adjacente 0 0
## 4880 Rural Adjacente 0 0
## 4881 Rural Adjacente 0 0
## 4882 Rural Adjacente 0 0
## 4883 Intermediário Adjacente 0 1
## 4884 Urbano 0 0
## 4885 Rural Adjacente 0 0
## 4886 Rural Adjacente 0 0
## 4887 Rural Adjacente 0 0
## 4888 Urbano 0 0
## 4889 Rural Adjacente 0 0
## 4890 Rural Adjacente 0 0
## 4891 Urbano 0 0
## 4892 Rural Adjacente 0 0
## 4893 Urbano 0 0
## 4894 Rural Adjacente 0 0
## 4895 Rural Adjacente 0 0
## 4896 Rural Adjacente 0 0
## 4897 Rural Adjacente 0 0
## 4898 Urbano 0 0
## 4899 Rural Adjacente 0 0
## 4900 Rural Adjacente 0 0
## 4901 Urbano 0 0
## 4902 Rural Adjacente 0 0
## 4903 Urbano 0 0
## 4904 Rural Adjacente 0 0
## 4905 Rural Adjacente 0 0
## 4906 Rural Adjacente 0 0
## 4907 Rural Adjacente 0 0
## 4908 Urbano 0 0
## 4909 Rural Adjacente 0 0
## 4910 Rural Adjacente 0 0
## 4911 Urbano 0 0
## 4912 Rural Adjacente 0 0
## 4913 Rural Adjacente 0 0
## 4914 Rural Adjacente 0 0
## 4915 Rural Adjacente 0 0
## 4916 Rural Adjacente 0 0
## 4917 Urbano 0 0
## 4918 Urbano 0 0
## 4919 Rural Adjacente 0 0
## 4920 Rural Adjacente 0 0
## 4921 Rural Adjacente 0 0
## 4922 Rural Adjacente 0 0
## 4923 Rural Adjacente 0 0
## 4924 Sem classificação 0 0
## 4925 Rural Adjacente 0 0
## 4926 Rural Adjacente 0 0
## 4927 Rural Adjacente 0 0
## 4928 Rural Adjacente 0 0
## 4929 Rural Adjacente 0 0
## 4930 Rural Adjacente 0 0
## 4931 Urbano 0 0
## 4932 Urbano 0 0
## 4933 Rural Adjacente 0 0
## 4934 Rural Adjacente 0 0
## 4935 Rural Adjacente 0 0
## 4936 Rural Adjacente 0 0
## 4937 Rural Adjacente 0 0
## 4938 Urbano 0 0
## 4939 Rural Adjacente 0 0
## 4940 Rural Adjacente 0 0
## 4941 Rural Adjacente 0 0
## 4942 Urbano 0 0
## 4943 Rural Adjacente 0 0
## 4944 Rural Adjacente 0 0
## 4945 Rural Adjacente 0 0
## 4946 Rural Adjacente 0 0
## 4947 Rural Adjacente 0 0
## 4948 Rural Adjacente 0 0
## 4949 Rural Adjacente 0 0
## 4950 Urbano 0 0
## 4951 Intermediário Adjacente 0 1
## 4952 Rural Adjacente 0 0
## 4953 Rural Adjacente 0 0
## 4954 Rural Adjacente 0 0
## 4955 Rural Adjacente 0 0
## 4956 Intermediário Adjacente 0 1
## 4957 Rural Adjacente 0 0
## 4958 Rural Adjacente 0 0
## 4959 Rural Adjacente 0 0
## 4960 Urbano 0 0
## 4961 Rural Adjacente 0 0
## 4962 Rural Adjacente 0 0
## 4963 Intermediário Adjacente 0 1
## 4964 Rural Adjacente 0 0
## 4965 Rural Adjacente 0 0
## 4966 Intermediário Adjacente 0 1
## 4967 Rural Adjacente 0 0
## 4968 Rural Adjacente 0 0
## 4969 Urbano 0 0
## 4970 Urbano 0 0
## 4971 Urbano 0 0
## 4972 Rural Adjacente 0 0
## 4973 Rural Adjacente 0 0
## 4974 Rural Adjacente 0 0
## 4975 Urbano 0 0
## 4976 Urbano 0 0
## 4977 Rural Adjacente 0 0
## 4978 Urbano 0 0
## 4979 Urbano 0 0
## 4980 Urbano 0 0
## 4981 Rural Adjacente 0 0
## 4982 Rural Adjacente 0 0
## 4983 Rural Adjacente 0 0
## 4984 Rural Adjacente 0 0
## 4985 Urbano 0 0
## 4986 Rural Adjacente 0 0
## 4987 Rural Adjacente 0 0
## 4988 Urbano 0 0
## 4989 Rural Adjacente 0 0
## 4990 Intermediário Adjacente 0 1
## 4991 Intermediário Adjacente 0 1
## 4992 Urbano 0 0
## 4993 Urbano 0 0
## 4994 Rural Adjacente 0 0
## 4995 Rural Adjacente 0 0
## 4996 Rural Adjacente 0 0
## 4997 Rural Adjacente 0 0
## 4998 Rural Adjacente 0 0
## 4999 Urbano 0 0
## 5000 Rural Adjacente 0 0
## 5001 Intermediário Adjacente 0 1
## 5002 Rural Adjacente 0 0
## 5003 Rural Adjacente 0 0
## 5004 Rural Adjacente 0 0
## 5005 Urbano 0 0
## 5006 Intermediário Adjacente 0 1
## 5007 Urbano 0 0
## 5008 Urbano 0 0
## 5009 Rural Adjacente 0 0
## 5010 Rural Adjacente 0 0
## 5011 Rural Adjacente 0 0
## 5012 Rural Adjacente 0 0
## 5013 Rural Adjacente 0 0
## 5014 Rural Adjacente 0 0
## 5015 Rural Adjacente 0 0
## 5016 Rural Adjacente 0 0
## 5017 Intermediário Adjacente 0 1
## 5018 Urbano 0 0
## 5019 Intermediário Adjacente 0 1
## 5020 Rural Adjacente 0 0
## 5021 Rural Adjacente 0 0
## 5022 Rural Adjacente 0 0
## 5023 Rural Adjacente 0 0
## 5024 Rural Adjacente 0 0
## 5025 Urbano 0 0
## 5026 Urbano 0 0
## 5027 Urbano 0 0
## 5028 Rural Adjacente 0 0
## 5029 Rural Adjacente 0 0
## 5030 Rural Adjacente 0 0
## 5031 Rural Adjacente 0 0
## 5032 Rural Adjacente 0 0
## 5033 Rural Adjacente 0 0
## 5034 Urbano 0 0
## 5035 Rural Adjacente 0 0
## 5036 Rural Adjacente 0 0
## 5037 Rural Adjacente 0 0
## 5038 Rural Adjacente 0 0
## 5039 Rural Adjacente 0 0
## 5040 Rural Adjacente 0 0
## 5041 Rural Adjacente 0 0
## 5042 Urbano 0 0
## 5043 Urbano 0 0
## 5044 Rural Adjacente 0 0
## 5045 Urbano 0 0
## 5046 Intermediário Adjacente 0 1
## 5047 Urbano 0 0
## 5048 Urbano 0 0
## 5049 Urbano 0 0
## 5050 Rural Adjacente 0 0
## 5051 Rural Adjacente 0 0
## 5052 Rural Adjacente 0 0
## 5053 Urbano 0 0
## 5054 Intermediário Adjacente 0 1
## 5055 Rural Adjacente 0 0
## 5056 Rural Adjacente 0 0
## 5057 Rural Adjacente 0 0
## 5058 Urbano 0 0
## 5059 Urbano 0 0
## 5060 Rural Adjacente 0 0
## 5061 Rural Adjacente 0 0
## 5062 Rural Adjacente 0 0
## 5063 Urbano 0 0
## 5064 Urbano 0 0
## 5065 Rural Adjacente 0 0
## 5066 Rural Adjacente 0 0
## 5067 Intermediário Adjacente 0 1
## 5068 Rural Adjacente 0 0
## 5069 Urbano 0 0
## 5070 Rural Adjacente 0 0
## 5071 Rural Adjacente 0 0
## 5072 Rural Adjacente 0 0
## 5073 Urbano 0 0
## 5074 Rural Adjacente 0 0
## 5075 Rural Adjacente 0 0
## 5076 Rural Adjacente 0 0
## 5077 Rural Adjacente 0 0
## 5078 Rural Adjacente 0 0
## 5079 Rural Adjacente 0 0
## 5080 Urbano 0 0
## 5081 Urbano 0 0
## 5082 Rural Adjacente 0 0
## 5083 Rural Adjacente 0 0
## 5084 Urbano 0 0
## 5085 Rural Adjacente 0 0
## 5086 Urbano 0 0
## 5087 Urbano 0 0
## 5088 Urbano 0 0
## 5089 Rural Adjacente 0 0
## 5090 Rural Adjacente 0 0
## 5091 Urbano 0 0
## 5092 Rural Adjacente 0 0
## 5093 Rural Adjacente 0 0
## 5094 Rural Adjacente 0 0
## 5095 Rural Adjacente 0 0
## 5096 Rural Adjacente 0 0
## 5097 Rural Adjacente 0 0
## 5098 Rural Adjacente 0 0
## 5099 Rural Adjacente 0 0
## 5100 Rural Adjacente 0 0
## 5101 Rural Adjacente 0 0
## 5102 Rural Adjacente 0 0
## 5103 Urbano 0 0
## 5104 Rural Adjacente 0 0
## 5105 Rural Remoto 0 0
## 5106 Intermediário Adjacente 0 1
## 5107 Urbano 0 0
## 5108 Rural Adjacente 0 0
## 5109 Rural Adjacente 0 0
## 5110 Rural Adjacente 0 0
## 5111 Urbano 0 0
## 5112 Urbano 0 0
## 5113 Rural Adjacente 0 0
## 5114 Rural Adjacente 0 0
## 5115 Urbano 0 0
## 5116 Intermediário Adjacente 0 1
## 5117 Intermediário Remoto 0 0
## 5118 Rural Remoto 0 0
## 5119 Urbano 0 0
## 5120 Rural Adjacente 0 0
## 5121 Intermediário Adjacente 0 1
## 5122 Rural Adjacente 0 0
## 5123 Urbano 0 0
## 5124 Rural Remoto 0 0
## 5125 Urbano 0 0
## 5126 Urbano 0 0
## 5127 Rural Adjacente 0 0
## 5128 Rural Adjacente 0 0
## 5129 Urbano 0 0
## 5130 Urbano 0 0
## 5131 Urbano 0 0
## 5132 Rural Adjacente 0 0
## 5133 Rural Adjacente 0 0
## 5134 Rural Adjacente 0 0
## 5135 Urbano 0 0
## 5136 Rural Adjacente 0 0
## 5137 Urbano 0 0
## 5138 Rural Remoto 0 0
## 5139 Rural Adjacente 0 0
## 5140 Urbano 0 0
## 5141 Rural Remoto 0 0
## 5142 Rural Remoto 0 0
## 5143 Intermediário Adjacente 0 1
## 5144 Rural Adjacente 0 0
## 5145 Intermediário Adjacente 0 1
## 5146 Rural Adjacente 0 0
## 5147 Rural Adjacente 0 0
## 5148 Urbano 0 0
## 5149 Rural Adjacente 0 0
## 5150 Rural Adjacente 0 0
## 5151 Urbano 0 0
## 5152 Rural Adjacente 0 0
## 5153 Urbano 0 0
## 5154 Intermediário Remoto 0 0
## 5155 Urbano 0 0
## 5156 Urbano 0 0
## 5157 Rural Adjacente 0 0
## 5158 Intermediário Adjacente 0 1
## 5159 Urbano 0 0
## 5160 Rural Adjacente 0 0
## 5161 Sem classificação 0 0
## 5162 Urbano 0 0
## 5163 Rural Remoto 0 0
## 5164 Rural Remoto 0 0
## 5165 Urbano 0 0
## 5166 Rural Remoto 0 0
## 5167 Intermediário Adjacente 0 1
## 5168 Intermediário Adjacente 0 1
## 5169 Rural Adjacente 0 0
## 5170 Urbano 0 0
## 5171 Rural Adjacente 0 0
## 5172 Rural Adjacente 0 0
## 5173 Urbano 0 0
## 5174 Rural Remoto 0 0
## 5175 Rural Adjacente 0 0
## 5176 Urbano 0 0
## 5177 Urbano 0 0
## 5178 Rural Remoto 0 0
## 5179 Rural Adjacente 0 0
## 5180 Rural Adjacente 0 0
## 5181 Urbano 0 0
## 5182 Rural Adjacente 0 0
## 5183 Rural Adjacente 0 0
## 5184 Urbano 0 0
## 5185 Urbano 0 0
## 5186 Urbano 0 0
## 5187 Rural Remoto 0 0
## 5188 Intermediário Remoto 0 0
## 5189 Rural Remoto 0 0
## 5190 Intermediário Remoto 0 0
## 5191 Rural Remoto 0 0
## 5192 Rural Adjacente 0 0
## 5193 Rural Remoto 0 0
## 5194 Urbano 0 0
## 5195 Urbano 0 0
## 5196 Intermediário Remoto 0 0
## 5197 Rural Adjacente 0 0
## 5198 Urbano 0 0
## 5199 Urbano 0 0
## 5200 Rural Remoto 0 0
## 5201 Rural Remoto 0 0
## 5202 Urbano 0 0
## 5203 Rural Remoto 0 0
## 5204 Urbano 0 0
## 5205 Intermediário Adjacente 0 1
## 5206 Rural Remoto 0 0
## 5207 Rural Remoto 0 0
## 5208 Intermediário Remoto 0 0
## 5209 Rural Remoto 0 0
## 5210 Rural Remoto 0 0
## 5211 Rural Adjacente 0 0
## 5212 Intermediário Adjacente 0 1
## 5213 Rural Adjacente 0 0
## 5214 Urbano 0 0
## 5215 Rural Remoto 0 0
## 5216 Intermediário Adjacente 0 1
## 5217 Intermediário Remoto 0 0
## 5218 Rural Remoto 0 0
## 5219 Rural Remoto 0 0
## 5220 Urbano 0 0
## 5221 Rural Adjacente 0 0
## 5222 Intermediário Remoto 0 0
## 5223 Intermediário Remoto 0 0
## 5224 Rural Adjacente 0 0
## 5225 Rural Adjacente 0 0
## 5226 Rural Remoto 0 0
## 5227 Rural Remoto 0 0
## 5228 Rural Adjacente 0 0
## 5229 Rural Adjacente 0 0
## 5230 Intermediário Remoto 0 0
## 5231 Intermediário Adjacente 0 1
## 5232 Rural Remoto 0 0
## 5233 Rural Remoto 0 0
## 5234 Rural Remoto 0 0
## 5235 Intermediário Adjacente 0 1
## 5236 Rural Remoto 0 0
## 5237 Urbano 0 0
## 5238 Rural Adjacente 0 0
## 5239 Rural Remoto 0 0
## 5240 Intermediário Remoto 0 0
## 5241 Urbano 0 0
## 5242 Rural Remoto 0 0
## 5243 Rural Adjacente 0 0
## 5244 Rural Adjacente 0 0
## 5245 Urbano 0 0
## 5246 Rural Remoto 0 0
## 5247 Rural Remoto 0 0
## 5248 Rural Remoto 0 0
## 5249 Rural Remoto 0 0
## 5250 Urbano 0 0
## 5251 Rural Adjacente 0 0
## 5252 Urbano 0 0
## 5253 Rural Adjacente 0 0
## 5254 Rural Remoto 0 0
## 5255 Rural Remoto 0 0
## 5256 Rural Remoto 0 0
## 5257 Rural Remoto 0 0
## 5258 Rural Remoto 0 0
## 5259 Rural Remoto 0 0
## 5260 Urbano 0 0
## 5261 Urbano 0 0
## 5262 Rural Remoto 0 0
## 5263 Urbano 0 0
## 5264 Rural Remoto 0 0
## 5265 Rural Remoto 0 0
## 5266 Rural Remoto 0 0
## 5267 Rural Remoto 0 0
## 5268 Intermediário Remoto 0 0
## 5269 Rural Remoto 0 0
## 5270 Intermediário Adjacente 0 1
## 5271 Intermediário Remoto 0 0
## 5272 Rural Remoto 0 0
## 5273 Intermediário Adjacente 0 1
## 5274 Urbano 0 0
## 5275 Rural Remoto 0 0
## 5276 Urbano 0 0
## 5277 Rural Remoto 0 0
## 5278 Rural Remoto 0 0
## 5279 Rural Adjacente 0 0
## 5280 Rural Adjacente 0 0
## 5281 Rural Adjacente 0 0
## 5282 Urbano 0 0
## 5283 Rural Remoto 0 0
## 5284 Intermediário Adjacente 0 1
## 5285 Rural Remoto 0 0
## 5286 Rural Remoto 0 0
## 5287 Rural Adjacente 0 0
## 5288 Rural Adjacente 0 0
## 5289 Rural Adjacente 0 0
## 5290 Rural Remoto 0 0
## 5291 Rural Adjacente 0 0
## 5292 Urbano 0 0
## 5293 Rural Remoto 0 0
## 5294 Rural Adjacente 0 0
## 5295 Rural Adjacente 0 0
## 5296 Urbano 0 0
## 5297 Rural Adjacente 0 0
## 5298 Rural Remoto 0 0
## 5299 Rural Adjacente 0 0
## 5300 Rural Remoto 0 0
## 5301 Rural Remoto 0 0
## 5302 Rural Remoto 0 0
## 5303 Rural Adjacente 0 0
## 5304 Rural Remoto 0 0
## 5305 Urbano 0 0
## 5306 Rural Remoto 0 0
## 5307 Urbano 0 0
## 5308 Urbano 0 0
## 5309 Rural Remoto 0 0
## 5310 Urbano 0 0
## 5311 Rural Remoto 0 0
## 5312 Rural Remoto 0 0
## 5313 Rural Remoto 0 0
## 5314 Rural Adjacente 0 0
## 5315 Rural Remoto 0 0
## 5316 Rural Remoto 0 0
## 5317 Urbano 0 0
## 5318 Rural Adjacente 0 0
## 5319 Intermediário Remoto 0 0
## 5320 Rural Remoto 0 0
## 5321 Rural Remoto 0 0
## 5322 Rural Remoto 0 0
## 5323 Rural Remoto 0 0
## 5324 Urbano 0 0
## 5325 Rural Adjacente 0 0
## 5326 Urbano 0 0
## 5327 Rural Adjacente 0 0
## 5328 Rural Adjacente 0 0
## 5329 Rural Adjacente 0 0
## 5330 Urbano 0 0
## 5331 Intermediário Adjacente 0 1
## 5332 Rural Adjacente 0 0
## 5333 Rural Adjacente 0 0
## 5334 Rural Adjacente 0 0
## 5335 Urbano 0 0
## 5336 Rural Adjacente 0 0
## 5337 Intermediário Adjacente 0 1
## 5338 Rural Adjacente 0 0
## 5339 Urbano 0 0
## 5340 Rural Adjacente 0 0
## 5341 Intermediário Adjacente 0 1
## 5342 Urbano 0 0
## 5343 Rural Adjacente 0 0
## 5344 Rural Adjacente 0 0
## 5345 Rural Adjacente 0 0
## 5346 Urbano 0 0
## 5347 Urbano 0 0
## 5348 Rural Adjacente 0 0
## 5349 Rural Adjacente 0 0
## 5350 Rural Adjacente 0 0
## 5351 Rural Adjacente 0 0
## 5352 Rural Adjacente 0 0
## 5353 Rural Adjacente 0 0
## 5354 Rural Adjacente 0 0
## 5355 Intermediário Adjacente 0 1
## 5356 Rural Adjacente 0 0
## 5357 Urbano 0 0
## 5358 Urbano 0 0
## 5359 Rural Adjacente 0 0
## 5360 Urbano 0 0
## 5361 Rural Adjacente 0 0
## 5362 Intermediário Adjacente 0 1
## 5363 Rural Adjacente 0 0
## 5364 Rural Adjacente 0 0
## 5365 Rural Adjacente 0 0
## 5366 Intermediário Adjacente 0 1
## 5367 Rural Adjacente 0 0
## 5368 Rural Adjacente 0 0
## 5369 Urbano 0 0
## 5370 Intermediário Adjacente 0 1
## 5371 Urbano 0 0
## 5372 Urbano 0 0
## 5373 Rural Adjacente 0 0
## 5374 Rural Adjacente 0 0
## 5375 Rural Adjacente 0 0
## 5376 Rural Adjacente 0 0
## 5377 Intermediário Adjacente 0 1
## 5378 Urbano 0 0
## 5379 Intermediário Adjacente 0 1
## 5380 Intermediário Adjacente 0 1
## 5381 Rural Adjacente 0 0
## 5382 Urbano 0 0
## 5383 Rural Adjacente 0 0
## 5384 Rural Adjacente 0 0
## 5385 Urbano 0 0
## 5386 Rural Adjacente 0 0
## 5387 Intermediário Remoto 0 0
## 5388 Urbano 0 0
## 5389 Intermediário Adjacente 0 1
## 5390 Rural Adjacente 0 0
## 5391 Rural Adjacente 0 0
## 5392 Rural Adjacente 0 0
## 5393 Rural Adjacente 0 0
## 5394 Urbano 0 0
## 5395 Rural Adjacente 0 0
## 5396 Intermediário Adjacente 0 1
## 5397 Rural Adjacente 0 0
## 5398 Rural Adjacente 0 0
## 5399 Rural Adjacente 0 0
## 5400 Rural Adjacente 0 0
## 5401 Rural Adjacente 0 0
## 5402 Rural Adjacente 0 0
## 5403 Rural Adjacente 0 0
## 5404 Rural Adjacente 0 0
## 5405 Intermediário Adjacente 0 1
## 5406 Rural Adjacente 0 0
## 5407 Rural Adjacente 0 0
## 5408 Rural Adjacente 0 0
## 5409 Rural Adjacente 0 0
## 5410 Rural Adjacente 0 0
## 5411 Urbano 0 0
## 5412 Rural Adjacente 0 0
## 5413 Rural Adjacente 0 0
## 5414 Rural Adjacente 0 0
## 5415 Intermediário Adjacente 0 1
## 5416 Urbano 0 0
## 5417 Urbano 0 0
## 5418 Urbano 0 0
## 5419 Urbano 0 0
## 5420 Intermediário Adjacente 0 1
## 5421 Urbano 0 0
## 5422 Intermediário Adjacente 0 1
## 5423 Urbano 0 0
## 5424 Rural Adjacente 0 0
## 5425 Rural Adjacente 0 0
## 5426 Rural Adjacente 0 0
## 5427 Rural Adjacente 0 0
## 5428 Urbano 0 0
## 5429 Rural Adjacente 0 0
## 5430 Rural Adjacente 0 0
## 5431 Intermediário Adjacente 0 1
## 5432 Urbano 0 0
## 5433 Urbano 0 0
## 5434 Urbano 0 0
## 5435 Rural Adjacente 0 0
## 5436 Urbano 0 0
## 5437 Rural Adjacente 0 0
## 5438 Urbano 0 0
## 5439 Intermediário Adjacente 0 1
## 5440 Intermediário Adjacente 0 1
## 5441 Rural Adjacente 0 0
## 5442 Urbano 0 0
## 5443 Rural Adjacente 0 0
## 5444 Urbano 0 0
## 5445 Rural Adjacente 0 0
## 5446 Rural Adjacente 0 0
## 5447 Urbano 0 0
## 5448 Rural Adjacente 0 0
## 5449 Rural Adjacente 0 0
## 5450 Urbano 0 0
## 5451 Urbano 0 0
## 5452 Rural Adjacente 0 0
## 5453 Rural Adjacente 0 0
## 5454 Rural Adjacente 0 0
## 5455 Intermediário Adjacente 0 1
## 5456 Rural Adjacente 0 0
## 5457 Rural Adjacente 0 0
## 5458 Urbano 0 0
## 5459 Rural Adjacente 0 0
## 5460 Rural Adjacente 0 0
## 5461 Rural Adjacente 0 0
## 5462 Rural Adjacente 0 0
## 5463 Rural Adjacente 0 0
## 5464 Urbano 0 0
## 5465 Rural Adjacente 0 0
## 5466 Urbano 0 0
## 5467 Urbano 0 0
## 5468 Rural Adjacente 0 0
## 5469 Rural Adjacente 0 0
## 5470 Rural Adjacente 0 0
## 5471 Intermediário Adjacente 0 1
## 5472 Rural Adjacente 0 0
## 5473 Urbano 0 0
## 5474 Rural Adjacente 0 0
## 5475 Rural Adjacente 0 0
## 5476 Urbano 0 0
## 5477 Rural Adjacente 0 0
## 5478 Rural Adjacente 0 0
## 5479 Rural Adjacente 0 0
## 5480 Urbano 0 0
## 5481 Urbano 0 0
## 5482 Rural Adjacente 0 0
## 5483 Rural Adjacente 0 0
## 5484 Rural Adjacente 0 0
## 5485 Rural Adjacente 0 0
## 5486 Rural Adjacente 0 0
## 5487 Rural Adjacente 0 0
## 5488 Urbano 0 0
## 5489 Rural Adjacente 0 0
## 5490 Urbano 0 0
## 5491 Rural Adjacente 0 0
## 5492 Rural Adjacente 0 0
## 5493 Rural Adjacente 0 0
## 5494 Urbano 0 0
## 5495 Urbano 0 0
## 5496 Rural Adjacente 0 0
## 5497 Urbano 0 0
## 5498 Rural Adjacente 0 0
## 5499 Rural Adjacente 0 0
## 5500 Rural Adjacente 0 0
## 5501 Intermediário Adjacente 0 1
## 5502 Rural Adjacente 0 0
## 5503 Rural Adjacente 0 0
## 5504 Rural Adjacente 0 0
## 5505 Rural Adjacente 0 0
## 5506 Intermediário Adjacente 0 1
## 5507 Rural Adjacente 0 0
## 5508 Intermediário Adjacente 0 1
## 5509 Urbano 0 0
## 5510 Urbano 0 0
## 5511 Urbano 0 0
## 5512 Urbano 0 0
## 5513 Rural Adjacente 0 0
## 5514 Rural Adjacente 0 0
## 5515 Intermediário Adjacente 0 1
## 5516 Rural Adjacente 0 0
## 5517 Urbano 0 0
## 5518 Urbano 0 0
## 5519 Intermediário Adjacente 0 1
## 5520 Rural Adjacente 0 0
## 5521 Urbano 0 0
## 5522 Urbano 0 0
## 5523 Intermediário Adjacente 0 1
## 5524 Intermediário Adjacente 0 1
## 5525 Rural Adjacente 0 0
## 5526 Rural Adjacente 0 0
## 5527 Urbano 0 0
## 5528 Rural Adjacente 0 0
## 5529 Urbano 0 0
## 5530 Rural Adjacente 0 0
## 5531 Rural Adjacente 0 0
## 5532 Rural Adjacente 0 0
## 5533 Rural Adjacente 0 0
## 5534 Rural Adjacente 0 0
## 5535 Urbano 0 0
## 5536 Urbano 0 0
## 5537 Rural Adjacente 0 0
## 5538 Rural Adjacente 0 0
## 5539 Rural Adjacente 0 0
## 5540 Rural Adjacente 0 0
## 5541 Urbano 0 0
## 5542 Rural Adjacente 0 0
## 5543 Intermediário Remoto 0 0
## 5544 Rural Adjacente 0 0
## 5545 Rural Adjacente 0 0
## 5546 Urbano 0 0
## 5547 Urbano 0 0
## 5548 Intermediário Adjacente 0 1
## 5549 Intermediário Adjacente 0 1
## 5550 Urbano 0 0
## 5551 Rural Adjacente 0 0
## 5552 Rural Adjacente 0 0
## 5553 Rural Adjacente 0 0
## 5554 Intermediário Adjacente 0 1
## 5555 Urbano 0 0
## 5556 Urbano 0 0
## 5557 Rural Adjacente 0 0
## 5558 Rural Adjacente 0 0
## 5559 Rural Adjacente 0 0
## 5560 Rural Adjacente 0 0
## 5561 Urbano 0 0
## 5562 Rural Adjacente 0 0
## 5563 Rural Adjacente 0 0
## 5564 Urbano 0 0
## 5565 Rural Adjacente 0 0
## 5566 Rural Adjacente 0 0
## 5567 Intermediário Adjacente 0 1
## 5568 Rural Adjacente 0 0
## 5569 Rural Adjacente 0 0
## 5570 Urbano 0 0
## RURAL_URBAN_Intermediário Remoto RURAL_URBAN_Rural Adjacente
## 1 0 0
## 2 0 0
## 3 0 1
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 1
## 15 0 0
## 16 0 0
## 17 0 0
## 18 0 0
## 19 0 1
## 20 0 0
## 21 0 1
## 22 0 0
## 23 0 0
## 24 0 0
## 25 0 1
## 26 0 1
## 27 0 1
## 28 1 0
## 29 0 1
## 30 0 1
## 31 0 1
## 32 0 0
## 33 0 1
## 34 0 0
## 35 0 0
## 36 0 1
## 37 0 1
## 38 0 1
## 39 0 1
## 40 0 1
## 41 0 1
## 42 0 1
## 43 0 0
## 44 0 1
## 45 0 1
## 46 0 0
## 47 0 0
## 48 0 1
## 49 0 1
## 50 0 1
## 51 0 0
## 52 0 1
## 53 0 1
## 54 0 0
## 55 1 0
## 56 0 1
## 57 0 1
## 58 0 0
## 59 1 0
## 60 1 0
## 61 0 0
## 62 0 1
## 63 0 0
## 64 0 0
## 65 0 1
## 66 0 0
## 67 0 0
## 68 0 1
## 69 0 0
## 70 0 0
## 71 0 0
## 72 1 0
## 73 0 1
## 74 0 1
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 1 0
## 80 0 0
## 81 0 0
## 82 1 0
## 83 0 0
## 84 1 0
## 85 0 0
## 86 0 0
## 87 1 0
## 88 0 0
## 89 0 0
## 90 0 0
## 91 0 0
## 92 0 1
## 93 0 1
## 94 0 0
## 95 1 0
## 96 1 0
## 97 1 0
## 98 1 0
## 99 0 1
## 100 0 0
## 101 0 0
## 102 0 0
## 103 0 0
## 104 0 0
## 105 0 0
## 106 0 0
## 107 0 0
## 108 1 0
## 109 1 0
## 110 0 0
## 111 0 1
## 112 0 0
## 113 0 0
## 114 0 0
## 115 0 0
## 116 0 0
## 117 0 0
## 118 0 1
## 119 1 0
## 120 0 0
## 121 0 0
## 122 0 1
## 123 0 1
## 124 0 0
## 125 1 0
## 126 1 0
## 127 0 0
## 128 0 0
## 129 0 1
## 130 0 0
## 131 1 0
## 132 0 0
## 133 0 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 1
## 138 0 1
## 139 0 0
## 140 0 1
## 141 0 1
## 142 0 1
## 143 0 0
## 144 0 1
## 145 0 1
## 146 0 1
## 147 0 0
## 148 0 0
## 149 0 0
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 1
## 155 0 0
## 156 0 0
## 157 0 0
## 158 1 0
## 159 0 0
## 160 0 0
## 161 0 0
## 162 0 0
## 163 0 1
## 164 0 1
## 165 0 0
## 166 0 0
## 167 0 1
## 168 0 1
## 169 0 0
## 170 0 0
## 171 0 1
## 172 0 0
## 173 0 1
## 174 0 1
## 175 0 0
## 176 0 1
## 177 0 1
## 178 0 0
## 179 0 0
## 180 0 1
## 181 0 1
## 182 0 0
## 183 0 0
## 184 1 0
## 185 0 0
## 186 0 1
## 187 0 0
## 188 0 0
## 189 0 1
## 190 0 0
## 191 0 0
## 192 0 1
## 193 0 0
## 194 0 0
## 195 0 0
## 196 0 1
## 197 0 0
## 198 0 0
## 199 0 0
## 200 0 1
## 201 0 1
## 202 0 0
## 203 0 0
## 204 0 0
## 205 0 0
## 206 0 1
## 207 0 1
## 208 0 1
## 209 0 0
## 210 0 0
## 211 0 0
## 212 0 0
## 213 1 0
## 214 0 1
## 215 0 0
## 216 0 1
## 217 0 0
## 218 0 1
## 219 0 1
## 220 0 0
## 221 0 1
## 222 0 0
## 223 0 0
## 224 0 1
## 225 0 0
## 226 0 0
## 227 0 0
## 228 0 1
## 229 0 1
## 230 0 1
## 231 1 0
## 232 0 0
## 233 0 0
## 234 0 1
## 235 0 0
## 236 0 1
## 237 0 0
## 238 0 0
## 239 0 1
## 240 0 0
## 241 0 0
## 242 0 1
## 243 0 1
## 244 0 1
## 245 0 0
## 246 0 1
## 247 1 0
## 248 0 0
## 249 0 0
## 250 0 1
## 251 0 0
## 252 0 0
## 253 0 0
## 254 0 0
## 255 0 0
## 256 0 0
## 257 0 0
## 258 0 1
## 259 1 0
## 260 0 0
## 261 0 1
## 262 0 0
## 263 0 0
## 264 0 0
## 265 0 0
## 266 0 1
## 267 0 1
## 268 0 1
## 269 0 0
## 270 0 1
## 271 0 0
## 272 0 1
## 273 0 0
## 274 0 1
## 275 0 0
## 276 0 1
## 277 0 0
## 278 0 0
## 279 0 0
## 280 0 0
## 281 0 0
## 282 0 0
## 283 0 1
## 284 0 0
## 285 0 0
## 286 0 1
## 287 0 0
## 288 0 0
## 289 0 0
## 290 0 0
## 291 1 0
## 292 0 0
## 293 0 1
## 294 0 1
## 295 0 0
## 296 0 0
## 297 1 0
## 298 0 0
## 299 0 0
## 300 0 1
## 301 0 0
## 302 0 1
## 303 0 0
## 304 0 0
## 305 0 1
## 306 1 0
## 307 0 0
## 308 0 0
## 309 0 0
## 310 0 0
## 311 0 0
## 312 0 1
## 313 0 0
## 314 0 0
## 315 1 0
## 316 0 0
## 317 0 0
## 318 0 1
## 319 0 0
## 320 0 1
## 321 0 0
## 322 0 0
## 323 0 0
## 324 0 1
## 325 0 0
## 326 0 0
## 327 0 1
## 328 0 0
## 329 0 0
## 330 0 0
## 331 0 1
## 332 0 1
## 333 0 1
## 334 0 0
## 335 0 1
## 336 1 0
## 337 0 1
## 338 0 1
## 339 0 0
## 340 0 1
## 341 0 0
## 342 0 1
## 343 0 1
## 344 0 0
## 345 0 0
## 346 0 0
## 347 0 1
## 348 0 0
## 349 0 0
## 350 1 0
## 351 0 0
## 352 0 0
## 353 0 1
## 354 0 1
## 355 0 1
## 356 0 0
## 357 0 0
## 358 0 0
## 359 0 1
## 360 0 1
## 361 0 1
## 362 0 1
## 363 0 0
## 364 0 0
## 365 0 1
## 366 0 0
## 367 0 1
## 368 0 0
## 369 0 0
## 370 0 1
## 371 0 0
## 372 0 1
## 373 0 1
## 374 0 1
## 375 0 0
## 376 0 0
## 377 0 0
## 378 0 1
## 379 0 1
## 380 0 0
## 381 0 0
## 382 0 1
## 383 0 1
## 384 0 0
## 385 0 1
## 386 0 0
## 387 0 0
## 388 0 1
## 389 0 1
## 390 0 1
## 391 0 1
## 392 0 0
## 393 0 1
## 394 0 1
## 395 0 1
## 396 0 1
## 397 0 0
## 398 0 0
## 399 0 1
## 400 0 1
## 401 0 0
## 402 0 0
## 403 0 0
## 404 0 1
## 405 1 0
## 406 0 1
## 407 0 0
## 408 0 0
## 409 0 0
## 410 0 1
## 411 0 1
## 412 0 0
## 413 0 1
## 414 0 0
## 415 0 0
## 416 0 1
## 417 0 1
## 418 0 1
## 419 0 0
## 420 0 1
## 421 0 0
## 422 0 1
## 423 0 1
## 424 0 0
## 425 0 0
## 426 0 1
## 427 0 0
## 428 0 1
## 429 0 1
## 430 0 1
## 431 0 1
## 432 0 1
## 433 0 0
## 434 0 1
## 435 0 0
## 436 0 1
## 437 0 1
## 438 0 1
## 439 0 1
## 440 0 1
## 441 0 0
## 442 0 0
## 443 0 1
## 444 0 0
## 445 0 0
## 446 0 0
## 447 1 0
## 448 0 1
## 449 0 1
## 450 0 0
## 451 0 0
## 452 0 1
## 453 0 1
## 454 0 1
## 455 0 0
## 456 0 1
## 457 0 0
## 458 0 1
## 459 0 0
## 460 0 1
## 461 0 1
## 462 0 1
## 463 0 1
## 464 0 0
## 465 0 1
## 466 0 1
## 467 0 0
## 468 0 0
## 469 0 1
## 470 0 0
## 471 0 1
## 472 0 0
## 473 0 1
## 474 0 0
## 475 0 0
## 476 0 0
## 477 0 0
## 478 0 1
## 479 0 1
## 480 1 0
## 481 0 1
## 482 0 1
## 483 0 1
## 484 0 1
## 485 0 0
## 486 0 1
## 487 0 1
## 488 0 1
## 489 0 1
## 490 0 0
## 491 0 0
## 492 0 1
## 493 0 1
## 494 0 1
## 495 0 1
## 496 0 0
## 497 0 1
## 498 0 0
## 499 0 1
## 500 0 0
## 501 0 0
## 502 0 0
## 503 0 1
## 504 0 1
## 505 0 1
## 506 0 1
## 507 0 0
## 508 0 1
## 509 0 0
## 510 0 0
## 511 0 0
## 512 0 1
## 513 0 0
## 514 0 0
## 515 0 0
## 516 0 0
## 517 0 1
## 518 0 1
## 519 0 0
## 520 0 0
## 521 0 0
## 522 0 0
## 523 0 1
## 524 0 1
## 525 0 1
## 526 0 1
## 527 0 1
## 528 0 0
## 529 0 1
## 530 0 1
## 531 0 1
## 532 0 0
## 533 0 1
## 534 0 0
## 535 0 1
## 536 0 0
## 537 0 1
## 538 0 1
## 539 0 1
## 540 0 0
## 541 0 0
## 542 0 0
## 543 0 0
## 544 0 1
## 545 0 0
## 546 0 0
## 547 0 1
## 548 0 1
## 549 0 0
## 550 0 1
## 551 0 1
## 552 0 1
## 553 0 1
## 554 0 0
## 555 0 1
## 556 0 1
## 557 0 0
## 558 0 0
## 559 0 1
## 560 0 0
## 561 0 1
## 562 0 1
## 563 0 1
## 564 0 1
## 565 0 1
## 566 0 1
## 567 0 1
## 568 0 0
## 569 0 0
## 570 0 1
## 571 0 1
## 572 0 1
## 573 0 1
## 574 0 1
## 575 0 1
## 576 0 0
## 577 0 0
## 578 0 1
## 579 0 1
## 580 0 0
## 581 0 1
## 582 0 0
## 583 0 1
## 584 0 1
## 585 1 0
## 586 0 0
## 587 0 1
## 588 0 0
## 589 0 1
## 590 1 0
## 591 0 1
## 592 0 1
## 593 0 0
## 594 0 0
## 595 0 0
## 596 0 0
## 597 0 1
## 598 0 0
## 599 0 1
## 600 0 0
## 601 0 1
## 602 0 1
## 603 0 1
## 604 0 1
## 605 0 0
## 606 0 0
## 607 0 1
## 608 0 1
## 609 0 0
## 610 0 0
## 611 0 1
## 612 0 0
## 613 0 0
## 614 0 0
## 615 0 0
## 616 0 1
## 617 0 1
## 618 0 1
## 619 0 0
## 620 0 1
## 621 0 1
## 622 0 0
## 623 0 1
## 624 0 0
## 625 0 0
## 626 0 0
## 627 0 1
## 628 0 1
## 629 0 1
## 630 0 0
## 631 0 1
## 632 0 1
## 633 0 0
## 634 0 0
## 635 0 1
## 636 0 0
## 637 0 1
## 638 0 0
## 639 0 0
## 640 0 0
## 641 0 0
## 642 0 1
## 643 0 1
## 644 0 1
## 645 0 1
## 646 0 1
## 647 0 1
## 648 0 0
## 649 0 1
## 650 0 0
## 651 0 1
## 652 0 0
## 653 0 0
## 654 0 0
## 655 0 0
## 656 0 1
## 657 0 1
## 658 0 1
## 659 0 0
## 660 0 1
## 661 0 0
## 662 0 0
## 663 0 0
## 664 0 1
## 665 0 0
## 666 0 1
## 667 0 0
## 668 0 1
## 669 0 1
## 670 0 0
## 671 0 1
## 672 0 1
## 673 0 1
## 674 0 0
## 675 0 0
## 676 0 1
## 677 0 1
## 678 0 1
## 679 0 0
## 680 0 1
## 681 0 1
## 682 0 1
## 683 0 1
## 684 0 0
## 685 0 0
## 686 0 0
## 687 0 1
## 688 0 0
## 689 0 1
## 690 0 1
## 691 0 0
## 692 0 1
## 693 0 1
## 694 0 0
## 695 0 1
## 696 0 1
## 697 0 1
## 698 0 0
## 699 0 1
## 700 0 1
## 701 0 1
## 702 0 1
## 703 0 1
## 704 0 1
## 705 0 1
## 706 0 1
## 707 0 1
## 708 0 1
## 709 0 1
## 710 0 1
## 711 0 0
## 712 0 1
## 713 0 1
## 714 0 0
## 715 0 0
## 716 0 0
## 717 0 1
## 718 0 0
## 719 0 1
## 720 0 1
## 721 0 1
## 722 0 0
## 723 0 1
## 724 0 1
## 725 0 1
## 726 0 1
## 727 0 1
## 728 0 0
## 729 0 1
## 730 0 1
## 731 0 1
## 732 1 0
## 733 0 0
## 734 0 0
## 735 0 0
## 736 0 0
## 737 0 1
## 738 0 1
## 739 0 1
## 740 0 1
## 741 0 1
## 742 0 1
## 743 0 1
## 744 0 1
## 745 0 0
## 746 0 0
## 747 0 1
## 748 0 0
## 749 0 1
## 750 0 0
## 751 0 0
## 752 0 1
## 753 0 1
## 754 0 1
## 755 0 1
## 756 0 1
## 757 0 0
## 758 0 0
## 759 0 0
## 760 0 0
## 761 0 1
## 762 0 1
## 763 0 1
## 764 0 1
## 765 0 1
## 766 0 1
## 767 0 1
## 768 0 1
## 769 0 1
## 770 0 1
## 771 0 1
## 772 0 1
## 773 0 1
## 774 0 0
## 775 0 0
## 776 0 1
## 777 0 0
## 778 0 1
## 779 0 1
## 780 0 1
## 781 0 1
## 782 0 1
## 783 0 1
## 784 0 1
## 785 0 0
## 786 0 1
## 787 0 0
## 788 0 0
## 789 0 0
## 790 0 0
## 791 0 0
## 792 0 1
## 793 0 1
## 794 0 1
## 795 0 1
## 796 0 1
## 797 0 1
## 798 0 1
## 799 0 0
## 800 0 0
## 801 0 0
## 802 0 1
## 803 0 1
## 804 0 1
## 805 0 1
## 806 0 1
## 807 0 1
## 808 0 1
## 809 0 0
## 810 0 1
## 811 0 1
## 812 0 0
## 813 0 0
## 814 0 0
## 815 0 1
## 816 0 1
## 817 0 0
## 818 0 0
## 819 0 1
## 820 0 1
## 821 0 1
## 822 0 0
## 823 0 0
## 824 0 0
## 825 0 0
## 826 0 1
## 827 0 0
## 828 0 0
## 829 0 1
## 830 0 0
## 831 0 0
## 832 0 1
## 833 0 0
## 834 0 1
## 835 0 1
## 836 0 0
## 837 0 0
## 838 0 0
## 839 0 0
## 840 0 0
## 841 0 0
## 842 0 1
## 843 0 1
## 844 0 0
## 845 0 0
## 846 0 1
## 847 0 1
## 848 0 1
## 849 0 1
## 850 0 1
## 851 0 1
## 852 0 1
## 853 0 0
## 854 0 1
## 855 0 0
## 856 0 1
## 857 0 1
## 858 0 1
## 859 0 1
## 860 0 1
## 861 0 1
## 862 0 0
## 863 0 1
## 864 0 0
## 865 0 1
## 866 0 1
## 867 0 1
## 868 0 1
## 869 0 1
## 870 0 0
## 871 0 1
## 872 0 1
## 873 0 0
## 874 0 0
## 875 0 0
## 876 0 1
## 877 0 1
## 878 0 1
## 879 0 0
## 880 0 1
## 881 0 1
## 882 0 1
## 883 0 0
## 884 0 1
## 885 1 0
## 886 0 0
## 887 0 1
## 888 0 1
## 889 0 1
## 890 0 1
## 891 0 1
## 892 0 1
## 893 0 0
## 894 0 1
## 895 0 1
## 896 0 1
## 897 0 1
## 898 0 1
## 899 0 1
## 900 0 1
## 901 0 1
## 902 0 1
## 903 0 0
## 904 0 0
## 905 0 1
## 906 0 1
## 907 0 1
## 908 0 1
## 909 0 1
## 910 0 1
## 911 0 1
## 912 0 1
## 913 0 1
## 914 0 0
## 915 0 1
## 916 0 1
## 917 0 1
## 918 0 0
## 919 0 1
## 920 0 1
## 921 0 1
## 922 0 0
## 923 0 0
## 924 0 0
## 925 0 0
## 926 0 1
## 927 0 1
## 928 0 1
## 929 0 1
## 930 0 1
## 931 0 1
## 932 0 0
## 933 0 1
## 934 0 1
## 935 0 0
## 936 0 0
## 937 0 1
## 938 0 1
## 939 0 1
## 940 0 1
## 941 0 0
## 942 0 0
## 943 0 1
## 944 0 1
## 945 0 1
## 946 0 1
## 947 0 0
## 948 0 1
## 949 0 0
## 950 0 0
## 951 0 1
## 952 0 1
## 953 0 1
## 954 0 1
## 955 0 1
## 956 0 1
## 957 0 1
## 958 0 0
## 959 0 1
## 960 0 1
## 961 0 1
## 962 0 0
## 963 0 1
## 964 0 1
## 965 0 1
## 966 0 1
## 967 0 0
## 968 0 0
## 969 0 1
## 970 0 1
## 971 0 1
## 972 0 0
## 973 0 1
## 974 0 1
## 975 0 1
## 976 0 1
## 977 0 0
## 978 0 0
## 979 0 0
## 980 0 1
## 981 0 1
## 982 0 1
## 983 0 1
## 984 0 1
## 985 0 0
## 986 0 1
## 987 0 1
## 988 0 1
## 989 0 1
## 990 0 0
## 991 0 1
## 992 0 1
## 993 0 0
## 994 0 1
## 995 0 0
## 996 0 0
## 997 0 1
## 998 0 0
## 999 0 1
## 1000 0 1
## 1001 0 1
## 1002 0 1
## 1003 0 1
## 1004 0 1
## 1005 0 1
## 1006 0 1
## 1007 0 1
## 1008 0 0
## 1009 0 1
## 1010 0 1
## 1011 0 1
## 1012 0 1
## 1013 0 1
## 1014 0 0
## 1015 0 1
## 1016 0 1
## 1017 0 0
## 1018 0 0
## 1019 0 0
## 1020 0 1
## 1021 0 1
## 1022 0 1
## 1023 0 1
## 1024 0 0
## 1025 0 1
## 1026 0 1
## 1027 0 1
## 1028 0 0
## 1029 0 1
## 1030 0 0
## 1031 0 1
## 1032 0 1
## 1033 0 1
## 1034 0 1
## 1035 0 1
## 1036 0 1
## 1037 0 1
## 1038 0 1
## 1039 0 1
## 1040 0 0
## 1041 0 1
## 1042 0 0
## 1043 0 0
## 1044 0 0
## 1045 0 1
## 1046 0 0
## 1047 0 1
## 1048 0 1
## 1049 0 1
## 1050 0 1
## 1051 0 1
## 1052 0 1
## 1053 0 1
## 1054 0 1
## 1055 0 1
## 1056 0 1
## 1057 0 1
## 1058 0 0
## 1059 0 1
## 1060 0 0
## 1061 0 1
## 1062 0 1
## 1063 0 0
## 1064 0 1
## 1065 0 0
## 1066 0 1
## 1067 0 1
## 1068 0 1
## 1069 0 1
## 1070 0 1
## 1071 0 0
## 1072 0 1
## 1073 0 0
## 1074 0 0
## 1075 0 1
## 1076 0 0
## 1077 0 0
## 1078 0 1
## 1079 0 1
## 1080 0 1
## 1081 0 1
## 1082 0 1
## 1083 0 0
## 1084 0 1
## 1085 0 0
## 1086 0 0
## 1087 0 1
## 1088 0 1
## 1089 0 0
## 1090 0 0
## 1091 0 1
## 1092 0 1
## 1093 0 1
## 1094 0 0
## 1095 0 0
## 1096 0 0
## 1097 0 1
## 1098 0 0
## 1099 0 1
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 1
## 1104 0 0
## 1105 0 1
## 1106 0 1
## 1107 0 1
## 1108 0 0
## 1109 0 0
## 1110 0 1
## 1111 0 0
## 1112 0 1
## 1113 0 0
## 1114 0 1
## 1115 0 0
## 1116 0 1
## 1117 0 1
## 1118 0 1
## 1119 0 1
## 1120 0 1
## 1121 0 1
## 1122 0 0
## 1123 0 1
## 1124 0 1
## 1125 0 1
## 1126 0 1
## 1127 0 1
## 1128 0 1
## 1129 0 0
## 1130 0 0
## 1131 0 0
## 1132 0 1
## 1133 0 1
## 1134 0 1
## 1135 0 0
## 1136 0 1
## 1137 0 0
## 1138 0 0
## 1139 0 0
## 1140 0 1
## 1141 0 1
## 1142 0 1
## 1143 0 1
## 1144 0 1
## 1145 0 1
## 1146 0 1
## 1147 0 1
## 1148 0 1
## 1149 0 0
## 1150 0 1
## 1151 0 1
## 1152 0 1
## 1153 0 0
## 1154 0 0
## 1155 0 1
## 1156 0 1
## 1157 0 1
## 1158 0 1
## 1159 0 0
## 1160 0 0
## 1161 0 1
## 1162 0 1
## 1163 0 0
## 1164 0 0
## 1165 0 0
## 1166 0 0
## 1167 0 1
## 1168 0 1
## 1169 0 1
## 1170 0 1
## 1171 0 1
## 1172 0 0
## 1173 0 1
## 1174 0 1
## 1175 0 1
## 1176 0 0
## 1177 0 1
## 1178 0 0
## 1179 0 1
## 1180 0 1
## 1181 0 1
## 1182 0 1
## 1183 0 1
## 1184 0 1
## 1185 0 1
## 1186 0 1
## 1187 0 1
## 1188 0 1
## 1189 0 1
## 1190 0 1
## 1191 0 1
## 1192 0 1
## 1193 0 1
## 1194 0 1
## 1195 0 0
## 1196 0 1
## 1197 0 1
## 1198 0 0
## 1199 0 1
## 1200 0 1
## 1201 0 1
## 1202 0 0
## 1203 0 1
## 1204 0 1
## 1205 0 0
## 1206 0 0
## 1207 0 0
## 1208 0 0
## 1209 0 0
## 1210 0 0
## 1211 0 0
## 1212 0 1
## 1213 0 0
## 1214 0 1
## 1215 0 1
## 1216 0 1
## 1217 0 1
## 1218 0 1
## 1219 0 1
## 1220 0 1
## 1221 0 1
## 1222 0 1
## 1223 0 1
## 1224 0 1
## 1225 0 1
## 1226 0 1
## 1227 0 1
## 1228 0 1
## 1229 0 1
## 1230 0 1
## 1231 0 1
## 1232 0 1
## 1233 0 1
## 1234 0 1
## 1235 0 1
## 1236 0 0
## 1237 0 1
## 1238 0 0
## 1239 0 1
## 1240 0 1
## 1241 0 1
## 1242 0 1
## 1243 0 1
## 1244 0 1
## 1245 0 0
## 1246 0 1
## 1247 0 1
## 1248 0 1
## 1249 0 1
## 1250 0 0
## 1251 0 1
## 1252 0 1
## 1253 0 1
## 1254 0 1
## 1255 0 1
## 1256 0 1
## 1257 0 0
## 1258 0 1
## 1259 0 1
## 1260 0 1
## 1261 0 1
## 1262 0 1
## 1263 0 0
## 1264 0 1
## 1265 0 1
## 1266 0 1
## 1267 0 1
## 1268 0 0
## 1269 0 1
## 1270 0 1
## 1271 0 1
## 1272 0 1
## 1273 0 1
## 1274 0 1
## 1275 0 1
## 1276 0 1
## 1277 0 0
## 1278 0 1
## 1279 0 1
## 1280 0 1
## 1281 0 1
## 1282 0 0
## 1283 0 1
## 1284 0 0
## 1285 0 1
## 1286 0 1
## 1287 0 1
## 1288 0 1
## 1289 0 1
## 1290 0 0
## 1291 0 1
## 1292 0 1
## 1293 0 1
## 1294 0 0
## 1295 0 1
## 1296 0 1
## 1297 0 1
## 1298 0 1
## 1299 0 1
## 1300 0 0
## 1301 0 1
## 1302 0 0
## 1303 0 1
## 1304 0 0
## 1305 0 1
## 1306 0 0
## 1307 0 1
## 1308 0 1
## 1309 0 1
## 1310 0 0
## 1311 0 0
## 1312 0 1
## 1313 0 1
## 1314 0 1
## 1315 0 1
## 1316 0 1
## 1317 0 1
## 1318 0 1
## 1319 0 1
## 1320 0 1
## 1321 0 1
## 1322 0 0
## 1323 0 1
## 1324 0 1
## 1325 0 1
## 1326 0 0
## 1327 0 1
## 1328 0 1
## 1329 0 1
## 1330 0 1
## 1331 0 0
## 1332 0 0
## 1333 0 0
## 1334 0 0
## 1335 0 1
## 1336 0 1
## 1337 0 1
## 1338 0 0
## 1339 0 0
## 1340 0 1
## 1341 0 1
## 1342 0 0
## 1343 0 1
## 1344 0 1
## 1345 0 1
## 1346 0 0
## 1347 0 1
## 1348 0 1
## 1349 0 1
## 1350 0 0
## 1351 0 1
## 1352 0 0
## 1353 0 0
## 1354 0 1
## 1355 0 1
## 1356 0 0
## 1357 0 0
## 1358 0 0
## 1359 0 0
## 1360 0 1
## 1361 0 1
## 1362 0 1
## 1363 0 1
## 1364 0 1
## 1365 0 1
## 1366 0 0
## 1367 0 1
## 1368 0 1
## 1369 0 1
## 1370 0 0
## 1371 0 1
## 1372 0 1
## 1373 0 1
## 1374 0 1
## 1375 0 1
## 1376 0 1
## 1377 0 1
## 1378 0 0
## 1379 0 1
## 1380 0 1
## 1381 0 1
## 1382 0 0
## 1383 0 0
## 1384 0 0
## 1385 0 1
## 1386 0 1
## 1387 0 0
## 1388 0 0
## 1389 0 1
## 1390 0 1
## 1391 0 1
## 1392 0 1
## 1393 0 0
## 1394 0 1
## 1395 0 0
## 1396 0 0
## 1397 0 0
## 1398 0 0
## 1399 0 0
## 1400 0 1
## 1401 0 1
## 1402 0 1
## 1403 0 1
## 1404 0 1
## 1405 0 1
## 1406 0 0
## 1407 0 1
## 1408 0 1
## 1409 0 1
## 1410 0 1
## 1411 0 1
## 1412 0 1
## 1413 0 0
## 1414 0 1
## 1415 0 1
## 1416 0 1
## 1417 0 0
## 1418 0 1
## 1419 0 1
## 1420 0 0
## 1421 0 1
## 1422 0 1
## 1423 0 1
## 1424 0 1
## 1425 0 1
## 1426 0 1
## 1427 0 1
## 1428 0 1
## 1429 0 1
## 1430 0 1
## 1431 0 1
## 1432 0 1
## 1433 0 1
## 1434 0 1
## 1435 0 1
## 1436 0 1
## 1437 0 0
## 1438 0 1
## 1439 0 1
## 1440 0 1
## 1441 0 0
## 1442 0 1
## 1443 0 1
## 1444 0 1
## 1445 0 1
## 1446 0 1
## 1447 0 1
## 1448 0 1
## 1449 0 1
## 1450 0 0
## 1451 0 1
## 1452 0 1
## 1453 0 0
## 1454 0 0
## 1455 0 1
## 1456 0 1
## 1457 0 1
## 1458 0 1
## 1459 0 1
## 1460 0 1
## 1461 0 0
## 1462 0 1
## 1463 0 1
## 1464 0 1
## 1465 0 1
## 1466 0 0
## 1467 0 0
## 1468 0 1
## 1469 0 0
## 1470 0 0
## 1471 0 0
## 1472 0 1
## 1473 0 0
## 1474 0 0
## 1475 0 0
## 1476 0 1
## 1477 0 0
## 1478 0 0
## 1479 0 0
## 1480 0 0
## 1481 0 0
## 1482 0 0
## 1483 0 0
## 1484 0 0
## 1485 0 1
## 1486 0 0
## 1487 0 1
## 1488 0 0
## 1489 0 1
## 1490 0 0
## 1491 0 1
## 1492 0 1
## 1493 0 0
## 1494 0 1
## 1495 0 1
## 1496 0 0
## 1497 0 0
## 1498 0 0
## 1499 0 1
## 1500 0 1
## 1501 0 1
## 1502 0 0
## 1503 0 0
## 1504 0 0
## 1505 0 1
## 1506 0 1
## 1507 0 1
## 1508 0 1
## 1509 0 0
## 1510 0 0
## 1511 0 1
## 1512 0 0
## 1513 0 1
## 1514 0 0
## 1515 0 0
## 1516 0 0
## 1517 0 1
## 1518 0 1
## 1519 0 1
## 1520 0 0
## 1521 0 0
## 1522 0 1
## 1523 0 0
## 1524 0 1
## 1525 0 0
## 1526 0 0
## 1527 0 0
## 1528 0 1
## 1529 0 0
## 1530 0 1
## 1531 0 0
## 1532 0 0
## 1533 0 0
## 1534 0 0
## 1535 0 1
## 1536 0 0
## 1537 0 1
## 1538 0 0
## 1539 0 1
## 1540 0 0
## 1541 0 1
## 1542 0 1
## 1543 0 1
## 1544 0 0
## 1545 0 0
## 1546 1 0
## 1547 0 1
## 1548 0 0
## 1549 0 0
## 1550 0 1
## 1551 0 0
## 1552 0 0
## 1553 0 0
## 1554 0 1
## 1555 0 1
## 1556 0 1
## 1557 0 0
## 1558 0 0
## 1559 0 1
## 1560 0 1
## 1561 0 1
## 1562 0 0
## 1563 0 0
## 1564 0 1
## 1565 0 1
## 1566 0 0
## 1567 0 0
## 1568 0 0
## 1569 0 0
## 1570 0 1
## 1571 0 1
## 1572 0 1
## 1573 0 1
## 1574 0 0
## 1575 0 0
## 1576 0 0
## 1577 0 1
## 1578 0 1
## 1579 0 0
## 1580 0 0
## 1581 0 1
## 1582 0 1
## 1583 0 1
## 1584 0 1
## 1585 0 1
## 1586 0 0
## 1587 0 0
## 1588 0 1
## 1589 0 0
## 1590 0 0
## 1591 0 0
## 1592 0 1
## 1593 0 0
## 1594 0 1
## 1595 0 1
## 1596 0 1
## 1597 0 0
## 1598 0 1
## 1599 0 0
## 1600 0 0
## 1601 0 1
## 1602 0 1
## 1603 0 0
## 1604 0 1
## 1605 0 1
## 1606 0 1
## 1607 0 1
## 1608 0 0
## 1609 0 1
## 1610 0 1
## 1611 0 1
## 1612 0 1
## 1613 0 1
## 1614 0 0
## 1615 0 0
## 1616 0 1
## 1617 0 0
## 1618 0 0
## 1619 0 1
## 1620 0 0
## 1621 0 0
## 1622 0 0
## 1623 0 0
## 1624 0 1
## 1625 0 0
## 1626 0 0
## 1627 0 1
## 1628 0 1
## 1629 0 0
## 1630 0 0
## 1631 0 1
## 1632 0 1
## 1633 0 0
## 1634 0 0
## 1635 0 1
## 1636 0 1
## 1637 0 0
## 1638 0 0
## 1639 0 0
## 1640 0 0
## 1641 0 1
## 1642 0 1
## 1643 0 1
## 1644 0 1
## 1645 0 1
## 1646 0 1
## 1647 0 1
## 1648 0 0
## 1649 0 0
## 1650 0 1
## 1651 0 1
## 1652 0 0
## 1653 0 0
## 1654 0 0
## 1655 0 0
## 1656 0 1
## 1657 0 0
## 1658 0 1
## 1659 0 1
## 1660 0 0
## 1661 0 1
## 1662 0 1
## 1663 0 0
## 1664 0 1
## 1665 0 0
## 1666 0 1
## 1667 0 1
## 1668 0 0
## 1669 0 1
## 1670 0 1
## 1671 0 1
## 1672 0 0
## 1673 0 0
## 1674 0 0
## 1675 0 1
## 1676 0 0
## 1677 0 1
## 1678 0 1
## 1679 0 1
## 1680 0 0
## 1681 0 0
## 1682 0 1
## 1683 0 1
## 1684 0 1
## 1685 0 1
## 1686 0 1
## 1687 0 1
## 1688 0 1
## 1689 0 1
## 1690 0 1
## 1691 0 1
## 1692 0 1
## 1693 0 1
## 1694 0 1
## 1695 0 1
## 1696 0 1
## 1697 0 0
## 1698 0 1
## 1699 0 0
## 1700 0 1
## 1701 0 0
## 1702 0 1
## 1703 0 1
## 1704 0 1
## 1705 0 0
## 1706 0 0
## 1707 0 1
## 1708 0 1
## 1709 0 0
## 1710 0 1
## 1711 0 0
## 1712 0 1
## 1713 0 1
## 1714 0 1
## 1715 0 1
## 1716 0 1
## 1717 0 0
## 1718 0 1
## 1719 0 1
## 1720 0 0
## 1721 0 1
## 1722 0 1
## 1723 0 0
## 1724 0 1
## 1725 0 0
## 1726 0 1
## 1727 0 0
## 1728 0 1
## 1729 0 0
## 1730 0 1
## 1731 0 1
## 1732 0 1
## 1733 0 0
## 1734 0 0
## 1735 0 0
## 1736 0 0
## 1737 0 1
## 1738 0 1
## 1739 0 0
## 1740 0 1
## 1741 0 0
## 1742 0 0
## 1743 0 1
## 1744 0 1
## 1745 0 0
## 1746 0 1
## 1747 0 1
## 1748 0 1
## 1749 0 0
## 1750 0 1
## 1751 0 0
## 1752 0 0
## 1753 0 1
## 1754 0 0
## 1755 0 0
## 1756 0 1
## 1757 0 1
## 1758 0 0
## 1759 0 0
## 1760 0 1
## 1761 0 1
## 1762 0 1
## 1763 0 0
## 1764 0 0
## 1765 0 1
## 1766 0 0
## 1767 0 0
## 1768 0 1
## 1769 0 1
## 1770 0 0
## 1771 0 0
## 1772 0 1
## 1773 0 1
## 1774 0 1
## 1775 0 0
## 1776 0 1
## 1777 0 1
## 1778 0 1
## 1779 0 0
## 1780 0 1
## 1781 0 1
## 1782 0 1
## 1783 0 1
## 1784 0 1
## 1785 0 0
## 1786 0 0
## 1787 0 1
## 1788 0 1
## 1789 0 1
## 1790 0 0
## 1791 0 1
## 1792 0 1
## 1793 0 1
## 1794 0 0
## 1795 0 1
## 1796 0 0
## 1797 0 0
## 1798 0 1
## 1799 0 0
## 1800 0 1
## 1801 0 1
## 1802 0 1
## 1803 0 1
## 1804 0 1
## 1805 0 1
## 1806 0 0
## 1807 0 1
## 1808 0 0
## 1809 0 1
## 1810 0 0
## 1811 0 0
## 1812 0 0
## 1813 0 1
## 1814 0 1
## 1815 0 1
## 1816 0 1
## 1817 0 1
## 1818 0 0
## 1819 0 1
## 1820 0 1
## 1821 0 1
## 1822 0 0
## 1823 0 0
## 1824 0 1
## 1825 0 0
## 1826 0 1
## 1827 0 0
## 1828 0 0
## 1829 0 0
## 1830 0 1
## 1831 0 1
## 1832 0 1
## 1833 0 1
## 1834 0 1
## 1835 0 0
## 1836 0 1
## 1837 0 0
## 1838 0 0
## 1839 0 0
## 1840 0 1
## 1841 0 1
## 1842 0 1
## 1843 0 1
## 1844 0 1
## 1845 0 1
## 1846 0 1
## 1847 0 1
## 1848 0 1
## 1849 0 1
## 1850 0 1
## 1851 0 1
## 1852 0 1
## 1853 0 1
## 1854 0 1
## 1855 0 1
## 1856 0 1
## 1857 0 0
## 1858 0 1
## 1859 0 1
## 1860 0 1
## 1861 0 0
## 1862 0 1
## 1863 0 0
## 1864 0 1
## 1865 0 1
## 1866 0 0
## 1867 0 1
## 1868 0 1
## 1869 0 1
## 1870 0 0
## 1871 0 1
## 1872 0 1
## 1873 0 1
## 1874 0 1
## 1875 0 0
## 1876 0 1
## 1877 0 0
## 1878 0 1
## 1879 0 0
## 1880 0 1
## 1881 0 1
## 1882 0 1
## 1883 0 0
## 1884 0 0
## 1885 0 0
## 1886 0 0
## 1887 0 1
## 1888 0 1
## 1889 0 0
## 1890 0 0
## 1891 0 1
## 1892 0 1
## 1893 0 0
## 1894 0 1
## 1895 0 1
## 1896 0 1
## 1897 0 0
## 1898 0 0
## 1899 0 1
## 1900 0 1
## 1901 0 0
## 1902 0 1
## 1903 0 1
## 1904 0 0
## 1905 0 1
## 1906 0 0
## 1907 0 1
## 1908 0 0
## 1909 0 1
## 1910 0 1
## 1911 0 1
## 1912 0 0
## 1913 0 1
## 1914 0 1
## 1915 0 1
## 1916 0 1
## 1917 0 0
## 1918 0 0
## 1919 0 1
## 1920 0 0
## 1921 0 0
## 1922 0 1
## 1923 0 0
## 1924 0 0
## 1925 0 0
## 1926 0 0
## 1927 0 0
## 1928 0 0
## 1929 0 1
## 1930 0 0
## 1931 0 0
## 1932 0 1
## 1933 0 1
## 1934 0 1
## 1935 0 1
## 1936 0 1
## 1937 0 0
## 1938 0 1
## 1939 0 1
## 1940 0 1
## 1941 0 1
## 1942 0 1
## 1943 0 1
## 1944 0 0
## 1945 0 1
## 1946 0 1
## 1947 0 0
## 1948 0 1
## 1949 0 1
## 1950 0 1
## 1951 0 0
## 1952 0 0
## 1953 0 0
## 1954 0 1
## 1955 0 0
## 1956 0 1
## 1957 0 0
## 1958 0 0
## 1959 0 1
## 1960 0 1
## 1961 0 1
## 1962 0 0
## 1963 0 0
## 1964 0 1
## 1965 0 1
## 1966 0 1
## 1967 0 1
## 1968 0 0
## 1969 0 1
## 1970 0 0
## 1971 0 1
## 1972 0 1
## 1973 0 0
## 1974 0 1
## 1975 0 0
## 1976 0 1
## 1977 0 1
## 1978 0 1
## 1979 0 0
## 1980 0 1
## 1981 0 0
## 1982 0 1
## 1983 0 0
## 1984 0 0
## 1985 0 1
## 1986 1 0
## 1987 0 1
## 1988 0 1
## 1989 0 1
## 1990 0 0
## 1991 0 0
## 1992 0 1
## 1993 0 1
## 1994 0 0
## 1995 0 0
## 1996 0 0
## 1997 0 1
## 1998 0 1
## 1999 0 1
## 2000 0 1
## 2001 0 0
## 2002 0 0
## 2003 0 0
## 2004 0 0
## 2005 0 1
## 2006 0 1
## 2007 0 0
## 2008 0 0
## 2009 0 0
## 2010 0 1
## 2011 0 1
## 2012 0 0
## 2013 0 0
## 2014 0 0
## 2015 0 0
## 2016 0 1
## 2017 0 0
## 2018 0 0
## 2019 0 1
## 2020 0 1
## 2021 0 0
## 2022 0 1
## 2023 0 0
## 2024 0 1
## 2025 0 0
## 2026 0 0
## 2027 0 0
## 2028 0 1
## 2029 0 0
## 2030 0 1
## 2031 0 0
## 2032 0 1
## 2033 0 1
## 2034 0 1
## 2035 0 0
## 2036 0 0
## 2037 0 1
## 2038 0 1
## 2039 0 1
## 2040 0 0
## 2041 0 1
## 2042 0 1
## 2043 0 1
## 2044 0 0
## 2045 0 0
## 2046 0 1
## 2047 0 1
## 2048 0 1
## 2049 0 1
## 2050 0 1
## 2051 0 1
## 2052 0 1
## 2053 0 1
## 2054 0 1
## 2055 0 1
## 2056 0 1
## 2057 0 0
## 2058 0 0
## 2059 0 1
## 2060 0 1
## 2061 0 1
## 2062 0 0
## 2063 0 1
## 2064 0 0
## 2065 0 0
## 2066 0 0
## 2067 0 0
## 2068 0 1
## 2069 0 1
## 2070 0 1
## 2071 0 1
## 2072 0 1
## 2073 0 1
## 2074 0 0
## 2075 0 0
## 2076 0 0
## 2077 0 1
## 2078 0 1
## 2079 0 1
## 2080 0 0
## 2081 0 1
## 2082 0 0
## 2083 0 0
## 2084 0 1
## 2085 0 1
## 2086 0 1
## 2087 0 1
## 2088 0 0
## 2089 0 1
## 2090 0 1
## 2091 0 1
## 2092 0 0
## 2093 0 1
## 2094 0 1
## 2095 0 1
## 2096 0 1
## 2097 0 0
## 2098 0 1
## 2099 0 0
## 2100 0 1
## 2101 0 1
## 2102 0 1
## 2103 0 1
## 2104 0 1
## 2105 0 1
## 2106 0 1
## 2107 0 1
## 2108 0 0
## 2109 0 0
## 2110 0 1
## 2111 0 0
## 2112 0 0
## 2113 0 1
## 2114 0 1
## 2115 0 1
## 2116 0 1
## 2117 0 1
## 2118 0 1
## 2119 0 1
## 2120 0 1
## 2121 0 0
## 2122 0 1
## 2123 0 1
## 2124 0 1
## 2125 0 0
## 2126 0 0
## 2127 0 1
## 2128 0 0
## 2129 0 1
## 2130 0 1
## 2131 0 1
## 2132 0 0
## 2133 0 1
## 2134 0 1
## 2135 0 0
## 2136 0 0
## 2137 0 1
## 2138 0 0
## 2139 0 1
## 2140 0 1
## 2141 0 1
## 2142 0 1
## 2143 0 1
## 2144 0 1
## 2145 0 1
## 2146 0 1
## 2147 0 1
## 2148 0 0
## 2149 0 1
## 2150 0 1
## 2151 0 0
## 2152 0 1
## 2153 0 1
## 2154 0 0
## 2155 0 1
## 2156 0 1
## 2157 0 1
## 2158 0 0
## 2159 0 0
## 2160 0 0
## 2161 0 0
## 2162 0 1
## 2163 0 0
## 2164 0 1
## 2165 0 1
## 2166 0 0
## 2167 0 0
## 2168 0 0
## 2169 0 0
## 2170 0 1
## 2171 0 0
## 2172 0 1
## 2173 0 1
## 2174 0 0
## 2175 0 1
## 2176 0 0
## 2177 0 0
## 2178 0 0
## 2179 0 1
## 2180 0 1
## 2181 0 0
## 2182 0 0
## 2183 0 1
## 2184 0 0
## 2185 0 1
## 2186 0 0
## 2187 0 1
## 2188 0 1
## 2189 0 1
## 2190 0 0
## 2191 0 1
## 2192 0 1
## 2193 0 1
## 2194 0 1
## 2195 0 1
## 2196 0 1
## 2197 0 0
## 2198 0 1
## 2199 0 1
## 2200 0 1
## 2201 0 1
## 2202 0 0
## 2203 0 1
## 2204 0 0
## 2205 0 1
## 2206 0 1
## 2207 0 0
## 2208 0 1
## 2209 0 1
## 2210 0 1
## 2211 0 1
## 2212 0 1
## 2213 0 1
## 2214 0 0
## 2215 0 0
## 2216 0 1
## 2217 0 1
## 2218 0 1
## 2219 0 1
## 2220 0 1
## 2221 0 1
## 2222 0 1
## 2223 0 1
## 2224 0 0
## 2225 0 0
## 2226 0 1
## 2227 0 1
## 2228 0 1
## 2229 0 1
## 2230 0 0
## 2231 0 0
## 2232 0 0
## 2233 0 0
## 2234 0 1
## 2235 0 1
## 2236 0 1
## 2237 0 1
## 2238 0 0
## 2239 0 1
## 2240 0 0
## 2241 0 1
## 2242 0 1
## 2243 0 1
## 2244 0 0
## 2245 0 1
## 2246 0 0
## 2247 0 1
## 2248 0 1
## 2249 0 1
## 2250 0 1
## 2251 0 1
## 2252 0 1
## 2253 0 0
## 2254 0 1
## 2255 0 0
## 2256 0 1
## 2257 0 1
## 2258 0 1
## 2259 0 0
## 2260 0 0
## 2261 0 0
## 2262 0 0
## 2263 0 1
## 2264 0 0
## 2265 0 1
## 2266 0 1
## 2267 0 1
## 2268 0 1
## 2269 0 1
## 2270 0 1
## 2271 0 1
## 2272 0 0
## 2273 0 1
## 2274 0 0
## 2275 0 1
## 2276 0 0
## 2277 0 1
## 2278 0 1
## 2279 0 1
## 2280 0 1
## 2281 0 0
## 2282 0 0
## 2283 0 1
## 2284 0 1
## 2285 0 0
## 2286 0 1
## 2287 0 0
## 2288 0 0
## 2289 0 0
## 2290 0 0
## 2291 0 0
## 2292 0 1
## 2293 0 1
## 2294 0 1
## 2295 0 1
## 2296 0 1
## 2297 0 1
## 2298 0 0
## 2299 0 1
## 2300 0 0
## 2301 0 1
## 2302 0 0
## 2303 0 0
## 2304 0 1
## 2305 0 0
## 2306 0 1
## 2307 0 0
## 2308 0 0
## 2309 0 1
## 2310 0 0
## 2311 0 0
## 2312 0 1
## 2313 0 0
## 2314 0 1
## 2315 0 1
## 2316 0 0
## 2317 0 1
## 2318 0 0
## 2319 0 1
## 2320 0 0
## 2321 0 1
## 2322 0 0
## 2323 0 0
## 2324 0 0
## 2325 0 1
## 2326 0 1
## 2327 0 1
## 2328 0 1
## 2329 0 0
## 2330 0 1
## 2331 0 1
## 2332 0 0
## 2333 0 0
## 2334 0 1
## 2335 0 1
## 2336 0 0
## 2337 0 0
## 2338 0 1
## 2339 0 1
## 2340 0 1
## 2341 0 0
## 2342 0 1
## 2343 0 1
## 2344 0 0
## 2345 0 0
## 2346 0 0
## 2347 0 1
## 2348 0 1
## 2349 0 1
## 2350 0 1
## 2351 0 1
## 2352 0 0
## 2353 0 0
## 2354 0 1
## 2355 0 1
## 2356 0 1
## 2357 0 1
## 2358 0 0
## 2359 0 0
## 2360 0 1
## 2361 0 1
## 2362 0 0
## 2363 0 0
## 2364 0 0
## 2365 0 1
## 2366 0 0
## 2367 0 0
## 2368 0 1
## 2369 0 0
## 2370 0 0
## 2371 0 1
## 2372 0 0
## 2373 0 1
## 2374 0 1
## 2375 0 1
## 2376 0 1
## 2377 0 1
## 2378 0 0
## 2379 0 1
## 2380 0 0
## 2381 0 0
## 2382 0 1
## 2383 0 1
## 2384 0 1
## 2385 0 1
## 2386 0 1
## 2387 0 1
## 2388 0 0
## 2389 0 0
## 2390 0 0
## 2391 0 1
## 2392 0 1
## 2393 0 0
## 2394 0 1
## 2395 0 1
## 2396 0 1
## 2397 0 1
## 2398 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
## 2403 0 1
## 2404 0 1
## 2405 0 1
## 2406 0 1
## 2407 0 1
## 2408 0 0
## 2409 0 1
## 2410 0 0
## 2411 0 1
## 2412 0 1
## 2413 0 1
## 2414 0 1
## 2415 0 0
## 2416 0 1
## 2417 0 1
## 2418 0 0
## 2419 0 0
## 2420 0 1
## 2421 0 1
## 2422 0 1
## 2423 0 0
## 2424 0 1
## 2425 0 0
## 2426 0 1
## 2427 0 0
## 2428 0 1
## 2429 0 1
## 2430 0 1
## 2431 0 0
## 2432 0 1
## 2433 0 1
## 2434 0 0
## 2435 0 1
## 2436 0 1
## 2437 0 1
## 2438 0 0
## 2439 0 0
## 2440 0 0
## 2441 0 0
## 2442 0 0
## 2443 0 0
## 2444 0 1
## 2445 0 1
## 2446 0 0
## 2447 0 0
## 2448 0 1
## 2449 0 0
## 2450 0 1
## 2451 0 1
## 2452 0 1
## 2453 0 1
## 2454 0 0
## 2455 0 1
## 2456 0 0
## 2457 0 0
## 2458 0 0
## 2459 0 1
## 2460 0 0
## 2461 0 1
## 2462 0 0
## 2463 0 1
## 2464 0 1
## 2465 0 1
## 2466 0 1
## 2467 0 0
## 2468 0 1
## 2469 0 1
## 2470 0 1
## 2471 0 1
## 2472 0 1
## 2473 0 0
## 2474 0 1
## 2475 0 1
## 2476 0 0
## 2477 0 1
## 2478 0 1
## 2479 0 1
## 2480 0 0
## 2481 0 0
## 2482 0 1
## 2483 0 1
## 2484 0 0
## 2485 0 1
## 2486 0 1
## 2487 0 1
## 2488 0 1
## 2489 0 1
## 2490 0 1
## 2491 0 0
## 2492 0 0
## 2493 0 0
## 2494 0 1
## 2495 0 1
## 2496 0 0
## 2497 0 1
## 2498 0 1
## 2499 0 1
## 2500 0 0
## 2501 0 0
## 2502 0 1
## 2503 0 0
## 2504 0 1
## 2505 0 1
## 2506 0 1
## 2507 0 1
## 2508 0 0
## 2509 0 1
## 2510 0 1
## 2511 0 1
## 2512 0 1
## 2513 0 1
## 2514 0 0
## 2515 0 0
## 2516 0 0
## 2517 0 1
## 2518 0 1
## 2519 0 1
## 2520 0 1
## 2521 0 1
## 2522 0 1
## 2523 0 0
## 2524 0 0
## 2525 0 1
## 2526 0 1
## 2527 0 1
## 2528 0 1
## 2529 1 0
## 2530 0 1
## 2531 0 1
## 2532 0 1
## 2533 0 1
## 2534 0 1
## 2535 0 0
## 2536 0 1
## 2537 0 0
## 2538 0 1
## 2539 0 0
## 2540 0 1
## 2541 0 0
## 2542 0 1
## 2543 0 1
## 2544 0 0
## 2545 0 1
## 2546 0 0
## 2547 0 1
## 2548 0 1
## 2549 0 0
## 2550 0 1
## 2551 0 1
## 2552 0 0
## 2553 0 1
## 2554 0 1
## 2555 0 1
## 2556 0 1
## 2557 0 1
## 2558 0 1
## 2559 0 0
## 2560 0 1
## 2561 0 1
## 2562 0 0
## 2563 0 1
## 2564 0 1
## 2565 0 1
## 2566 0 0
## 2567 0 1
## 2568 0 0
## 2569 0 1
## 2570 0 0
## 2571 0 1
## 2572 0 0
## 2573 0 1
## 2574 0 1
## 2575 0 1
## 2576 0 1
## 2577 0 1
## 2578 0 0
## 2579 0 1
## 2580 0 1
## 2581 0 1
## 2582 0 0
## 2583 0 1
## 2584 0 1
## 2585 0 1
## 2586 0 0
## 2587 0 1
## 2588 0 1
## 2589 0 0
## 2590 0 0
## 2591 0 1
## 2592 0 1
## 2593 0 0
## 2594 0 1
## 2595 0 1
## 2596 0 1
## 2597 0 0
## 2598 0 0
## 2599 0 0
## 2600 0 0
## 2601 0 0
## 2602 0 0
## 2603 0 1
## 2604 0 0
## 2605 0 0
## 2606 0 1
## 2607 0 0
## 2608 0 1
## 2609 0 0
## 2610 0 1
## 2611 0 1
## 2612 0 0
## 2613 0 0
## 2614 0 1
## 2615 0 0
## 2616 0 1
## 2617 0 1
## 2618 0 1
## 2619 0 0
## 2620 0 1
## 2621 0 0
## 2622 0 1
## 2623 0 0
## 2624 0 1
## 2625 0 1
## 2626 0 0
## 2627 0 0
## 2628 0 1
## 2629 0 1
## 2630 0 1
## 2631 0 0
## 2632 0 0
## 2633 0 0
## 2634 0 1
## 2635 0 1
## 2636 0 1
## 2637 0 1
## 2638 0 0
## 2639 0 0
## 2640 0 1
## 2641 0 1
## 2642 0 0
## 2643 0 0
## 2644 0 1
## 2645 0 1
## 2646 0 0
## 2647 0 1
## 2648 0 1
## 2649 0 1
## 2650 0 1
## 2651 1 0
## 2652 0 1
## 2653 0 1
## 2654 0 1
## 2655 0 0
## 2656 0 0
## 2657 0 1
## 2658 0 1
## 2659 0 0
## 2660 0 1
## 2661 0 0
## 2662 0 1
## 2663 0 0
## 2664 0 0
## 2665 0 1
## 2666 0 1
## 2667 0 0
## 2668 0 1
## 2669 0 1
## 2670 0 0
## 2671 0 1
## 2672 0 1
## 2673 0 0
## 2674 0 0
## 2675 0 0
## 2676 0 1
## 2677 0 0
## 2678 0 1
## 2679 0 1
## 2680 0 1
## 2681 0 0
## 2682 0 1
## 2683 0 1
## 2684 0 0
## 2685 0 1
## 2686 0 1
## 2687 0 0
## 2688 0 1
## 2689 0 1
## 2690 0 1
## 2691 0 1
## 2692 0 0
## 2693 0 0
## 2694 0 0
## 2695 0 1
## 2696 0 0
## 2697 0 1
## 2698 1 0
## 2699 0 0
## 2700 0 0
## 2701 0 0
## 2702 0 1
## 2703 0 0
## 2704 0 1
## 2705 0 0
## 2706 0 1
## 2707 0 0
## 2708 0 1
## 2709 0 0
## 2710 0 1
## 2711 0 1
## 2712 0 1
## 2713 0 0
## 2714 0 1
## 2715 0 0
## 2716 0 0
## 2717 0 1
## 2718 0 0
## 2719 0 1
## 2720 0 0
## 2721 0 1
## 2722 0 1
## 2723 0 0
## 2724 0 1
## 2725 0 1
## 2726 0 1
## 2727 0 1
## 2728 0 1
## 2729 0 1
## 2730 0 1
## 2731 0 1
## 2732 0 0
## 2733 0 1
## 2734 0 0
## 2735 0 1
## 2736 0 1
## 2737 0 0
## 2738 0 0
## 2739 0 0
## 2740 0 1
## 2741 0 0
## 2742 0 1
## 2743 0 0
## 2744 0 0
## 2745 0 0
## 2746 0 1
## 2747 0 1
## 2748 0 1
## 2749 0 1
## 2750 0 1
## 2751 0 0
## 2752 0 1
## 2753 0 0
## 2754 0 1
## 2755 0 0
## 2756 0 0
## 2757 0 1
## 2758 0 1
## 2759 0 0
## 2760 0 0
## 2761 0 1
## 2762 0 1
## 2763 0 0
## 2764 0 0
## 2765 0 1
## 2766 0 1
## 2767 0 0
## 2768 0 1
## 2769 0 0
## 2770 0 1
## 2771 0 1
## 2772 0 0
## 2773 0 1
## 2774 0 1
## 2775 0 1
## 2776 0 0
## 2777 0 1
## 2778 0 1
## 2779 0 1
## 2780 0 1
## 2781 0 0
## 2782 0 0
## 2783 0 0
## 2784 0 1
## 2785 0 1
## 2786 0 0
## 2787 0 1
## 2788 0 1
## 2789 0 1
## 2790 0 1
## 2791 0 1
## 2792 0 0
## 2793 0 0
## 2794 0 0
## 2795 0 0
## 2796 0 0
## 2797 0 0
## 2798 0 0
## 2799 0 1
## 2800 0 1
## 2801 0 1
## 2802 0 1
## 2803 0 0
## 2804 0 1
## 2805 0 0
## 2806 0 0
## 2807 0 1
## 2808 0 1
## 2809 0 1
## 2810 0 1
## 2811 0 1
## 2812 0 0
## 2813 0 1
## 2814 0 1
## 2815 0 1
## 2816 0 1
## 2817 0 1
## 2818 0 1
## 2819 0 1
## 2820 0 0
## 2821 0 1
## 2822 0 1
## 2823 0 1
## 2824 0 1
## 2825 0 1
## 2826 0 0
## 2827 0 1
## 2828 0 0
## 2829 0 1
## 2830 0 1
## 2831 0 0
## 2832 0 1
## 2833 0 1
## 2834 0 1
## 2835 0 0
## 2836 0 1
## 2837 0 1
## 2838 0 0
## 2839 0 1
## 2840 0 0
## 2841 0 0
## 2842 0 0
## 2843 0 0
## 2844 0 0
## 2845 0 0
## 2846 0 0
## 2847 0 0
## 2848 0 1
## 2849 0 0
## 2850 0 1
## 2851 0 0
## 2852 0 0
## 2853 0 1
## 2854 0 1
## 2855 0 1
## 2856 0 1
## 2857 0 1
## 2858 0 0
## 2859 0 1
## 2860 0 1
## 2861 0 0
## 2862 0 0
## 2863 0 1
## 2864 0 1
## 2865 0 1
## 2866 0 1
## 2867 0 0
## 2868 0 1
## 2869 0 0
## 2870 0 1
## 2871 0 0
## 2872 0 0
## 2873 0 1
## 2874 0 1
## 2875 0 1
## 2876 0 0
## 2877 0 0
## 2878 0 1
## 2879 0 1
## 2880 0 1
## 2881 0 0
## 2882 0 0
## 2883 0 0
## 2884 0 1
## 2885 0 1
## 2886 0 0
## 2887 0 1
## 2888 0 1
## 2889 0 0
## 2890 0 1
## 2891 0 0
## 2892 0 1
## 2893 0 0
## 2894 0 1
## 2895 0 1
## 2896 0 1
## 2897 0 1
## 2898 0 0
## 2899 0 1
## 2900 0 1
## 2901 0 0
## 2902 0 0
## 2903 0 0
## 2904 0 1
## 2905 0 0
## 2906 0 0
## 2907 0 0
## 2908 0 0
## 2909 0 1
## 2910 0 1
## 2911 0 1
## 2912 0 0
## 2913 0 1
## 2914 0 1
## 2915 0 1
## 2916 0 1
## 2917 0 1
## 2918 0 0
## 2919 0 0
## 2920 0 1
## 2921 0 1
## 2922 0 1
## 2923 0 1
## 2924 0 1
## 2925 0 1
## 2926 0 1
## 2927 0 0
## 2928 0 1
## 2929 0 0
## 2930 0 1
## 2931 0 0
## 2932 0 1
## 2933 0 1
## 2934 0 1
## 2935 0 1
## 2936 0 0
## 2937 0 1
## 2938 0 1
## 2939 0 0
## 2940 0 1
## 2941 0 0
## 2942 0 0
## 2943 0 1
## 2944 0 0
## 2945 0 1
## 2946 0 1
## 2947 0 0
## 2948 0 1
## 2949 0 1
## 2950 0 1
## 2951 0 0
## 2952 0 0
## 2953 0 0
## 2954 0 1
## 2955 0 1
## 2956 0 1
## 2957 0 0
## 2958 0 1
## 2959 0 0
## 2960 0 1
## 2961 0 1
## 2962 0 1
## 2963 0 1
## 2964 0 1
## 2965 0 0
## 2966 0 1
## 2967 0 0
## 2968 0 0
## 2969 0 0
## 2970 0 1
## 2971 0 1
## 2972 0 1
## 2973 0 0
## 2974 0 0
## 2975 0 1
## 2976 0 1
## 2977 0 1
## 2978 0 1
## 2979 0 1
## 2980 0 1
## 2981 0 0
## 2982 0 0
## 2983 0 1
## 2984 0 0
## 2985 0 1
## 2986 0 1
## 2987 0 0
## 2988 0 1
## 2989 0 1
## 2990 0 1
## 2991 0 1
## 2992 0 0
## 2993 0 1
## 2994 0 1
## 2995 0 1
## 2996 0 1
## 2997 0 1
## 2998 0 1
## 2999 0 1
## 3000 0 1
## 3001 0 1
## 3002 0 1
## 3003 0 1
## 3004 0 0
## 3005 0 1
## 3006 0 1
## 3007 0 1
## 3008 0 1
## 3009 0 1
## 3010 0 0
## 3011 0 1
## 3012 0 1
## 3013 0 0
## 3014 0 1
## 3015 0 1
## 3016 0 1
## 3017 0 1
## 3018 0 1
## 3019 0 1
## 3020 0 1
## 3021 0 1
## 3022 0 1
## 3023 0 1
## 3024 0 1
## 3025 0 1
## 3026 0 1
## 3027 0 1
## 3028 0 0
## 3029 0 1
## 3030 0 0
## 3031 0 1
## 3032 0 1
## 3033 0 1
## 3034 0 0
## 3035 0 1
## 3036 0 1
## 3037 0 0
## 3038 0 1
## 3039 0 1
## 3040 0 1
## 3041 0 1
## 3042 0 0
## 3043 0 1
## 3044 0 1
## 3045 0 1
## 3046 0 1
## 3047 0 1
## 3048 0 1
## 3049 0 0
## 3050 0 0
## 3051 0 0
## 3052 0 1
## 3053 0 0
## 3054 0 1
## 3055 0 1
## 3056 0 1
## 3057 0 0
## 3058 0 0
## 3059 0 0
## 3060 0 1
## 3061 0 0
## 3062 0 0
## 3063 0 1
## 3064 0 0
## 3065 0 1
## 3066 0 1
## 3067 0 0
## 3068 0 0
## 3069 0 1
## 3070 0 0
## 3071 0 1
## 3072 0 1
## 3073 0 1
## 3074 0 1
## 3075 0 0
## 3076 0 1
## 3077 0 0
## 3078 0 0
## 3079 0 0
## 3080 0 0
## 3081 0 1
## 3082 0 0
## 3083 0 1
## 3084 0 1
## 3085 0 1
## 3086 0 1
## 3087 0 0
## 3088 0 0
## 3089 0 1
## 3090 0 1
## 3091 0 0
## 3092 0 1
## 3093 0 1
## 3094 0 1
## 3095 0 0
## 3096 0 1
## 3097 0 0
## 3098 0 1
## 3099 0 1
## 3100 0 1
## 3101 0 0
## 3102 0 1
## 3103 0 1
## 3104 0 1
## 3105 0 1
## 3106 0 0
## 3107 0 1
## 3108 0 0
## 3109 0 1
## 3110 0 1
## 3111 0 0
## 3112 0 1
## 3113 0 0
## 3114 0 0
## 3115 0 0
## 3116 0 0
## 3117 0 0
## 3118 0 1
## 3119 0 1
## 3120 0 1
## 3121 0 1
## 3122 0 1
## 3123 0 0
## 3124 0 1
## 3125 0 0
## 3126 0 0
## 3127 0 0
## 3128 0 0
## 3129 0 1
## 3130 0 1
## 3131 0 1
## 3132 0 1
## 3133 0 0
## 3134 0 1
## 3135 0 0
## 3136 0 0
## 3137 0 1
## 3138 0 0
## 3139 0 1
## 3140 0 0
## 3141 0 1
## 3142 0 0
## 3143 0 1
## 3144 0 1
## 3145 0 1
## 3146 0 0
## 3147 0 1
## 3148 0 1
## 3149 0 1
## 3150 0 0
## 3151 0 1
## 3152 0 0
## 3153 0 0
## 3154 0 0
## 3155 0 1
## 3156 0 1
## 3157 0 1
## 3158 0 1
## 3159 0 1
## 3160 0 1
## 3161 0 1
## 3162 0 1
## 3163 0 0
## 3164 0 1
## 3165 0 0
## 3166 0 1
## 3167 0 0
## 3168 0 0
## 3169 0 1
## 3170 0 1
## 3171 0 0
## 3172 0 1
## 3173 0 1
## 3174 0 0
## 3175 0 0
## 3176 0 0
## 3177 0 0
## 3178 0 0
## 3179 0 0
## 3180 0 0
## 3181 0 0
## 3182 0 0
## 3183 0 0
## 3184 0 0
## 3185 0 1
## 3186 0 0
## 3187 0 0
## 3188 0 0
## 3189 0 1
## 3190 0 0
## 3191 0 0
## 3192 0 0
## 3193 0 0
## 3194 0 1
## 3195 0 0
## 3196 0 0
## 3197 0 0
## 3198 0 0
## 3199 0 1
## 3200 0 0
## 3201 0 0
## 3202 0 0
## 3203 0 0
## 3204 0 0
## 3205 0 0
## 3206 0 1
## 3207 0 0
## 3208 0 0
## 3209 0 0
## 3210 0 0
## 3211 0 1
## 3212 0 0
## 3213 0 0
## 3214 0 0
## 3215 0 0
## 3216 0 0
## 3217 0 0
## 3218 0 0
## 3219 0 0
## 3220 0 0
## 3221 0 1
## 3222 0 0
## 3223 0 0
## 3224 0 0
## 3225 0 0
## 3226 0 0
## 3227 0 0
## 3228 0 0
## 3229 0 0
## 3230 0 0
## 3231 0 0
## 3232 0 0
## 3233 0 0
## 3234 0 0
## 3235 0 0
## 3236 0 0
## 3237 0 0
## 3238 0 0
## 3239 0 0
## 3240 0 1
## 3241 0 1
## 3242 0 0
## 3243 0 0
## 3244 0 1
## 3245 0 0
## 3246 0 1
## 3247 0 0
## 3248 0 0
## 3249 0 0
## 3250 0 0
## 3251 0 1
## 3252 0 1
## 3253 0 0
## 3254 0 1
## 3255 0 1
## 3256 0 0
## 3257 0 0
## 3258 0 1
## 3259 0 1
## 3260 0 0
## 3261 0 0
## 3262 0 1
## 3263 0 0
## 3264 0 0
## 3265 0 1
## 3266 0 0
## 3267 0 0
## 3268 0 0
## 3269 0 1
## 3270 0 0
## 3271 0 0
## 3272 0 0
## 3273 0 1
## 3274 0 0
## 3275 0 0
## 3276 0 0
## 3277 0 0
## 3278 0 1
## 3279 0 0
## 3280 0 1
## 3281 0 0
## 3282 0 1
## 3283 0 0
## 3284 0 1
## 3285 0 1
## 3286 0 0
## 3287 0 0
## 3288 0 1
## 3289 0 0
## 3290 0 1
## 3291 0 0
## 3292 0 0
## 3293 0 1
## 3294 0 0
## 3295 0 0
## 3296 0 0
## 3297 0 0
## 3298 0 0
## 3299 0 0
## 3300 0 0
## 3301 0 0
## 3302 0 0
## 3303 0 1
## 3304 0 0
## 3305 0 0
## 3306 0 1
## 3307 0 1
## 3308 0 1
## 3309 0 0
## 3310 0 0
## 3311 0 0
## 3312 0 0
## 3313 0 1
## 3314 0 0
## 3315 0 0
## 3316 0 0
## 3317 0 1
## 3318 0 0
## 3319 0 0
## 3320 0 0
## 3321 0 0
## 3322 0 0
## 3323 0 1
## 3324 0 1
## 3325 0 0
## 3326 0 0
## 3327 0 0
## 3328 0 1
## 3329 0 1
## 3330 0 0
## 3331 0 0
## 3332 0 0
## 3333 0 0
## 3334 0 0
## 3335 0 0
## 3336 0 0
## 3337 0 1
## 3338 0 0
## 3339 0 0
## 3340 0 0
## 3341 0 0
## 3342 0 0
## 3343 0 0
## 3344 0 0
## 3345 0 1
## 3346 0 0
## 3347 0 0
## 3348 0 1
## 3349 0 1
## 3350 0 0
## 3351 0 0
## 3352 0 1
## 3353 0 0
## 3354 0 0
## 3355 0 0
## 3356 0 0
## 3357 0 0
## 3358 0 0
## 3359 0 0
## 3360 0 0
## 3361 0 0
## 3362 0 0
## 3363 0 0
## 3364 0 0
## 3365 0 0
## 3366 0 0
## 3367 0 0
## 3368 0 0
## 3369 0 0
## 3370 0 1
## 3371 0 0
## 3372 0 0
## 3373 0 0
## 3374 0 0
## 3375 0 1
## 3376 0 0
## 3377 0 0
## 3378 0 0
## 3379 0 0
## 3380 0 1
## 3381 0 0
## 3382 0 0
## 3383 0 1
## 3384 0 0
## 3385 0 0
## 3386 0 1
## 3387 0 0
## 3388 0 0
## 3389 0 0
## 3390 0 1
## 3391 0 0
## 3392 0 1
## 3393 0 0
## 3394 0 0
## 3395 0 0
## 3396 0 0
## 3397 0 0
## 3398 0 0
## 3399 0 1
## 3400 0 0
## 3401 0 0
## 3402 0 0
## 3403 0 0
## 3404 0 0
## 3405 0 0
## 3406 0 0
## 3407 0 0
## 3408 0 0
## 3409 0 1
## 3410 0 0
## 3411 0 1
## 3412 0 0
## 3413 0 0
## 3414 0 0
## 3415 0 1
## 3416 0 0
## 3417 0 0
## 3418 0 0
## 3419 0 0
## 3420 0 0
## 3421 0 1
## 3422 0 1
## 3423 0 0
## 3424 0 0
## 3425 0 1
## 3426 0 0
## 3427 0 0
## 3428 0 0
## 3429 0 0
## 3430 0 0
## 3431 0 1
## 3432 0 1
## 3433 0 0
## 3434 0 0
## 3435 0 0
## 3436 0 0
## 3437 0 0
## 3438 0 0
## 3439 0 0
## 3440 0 0
## 3441 0 0
## 3442 0 0
## 3443 0 1
## 3444 0 0
## 3445 0 0
## 3446 0 1
## 3447 0 1
## 3448 0 0
## 3449 0 1
## 3450 0 1
## 3451 0 1
## 3452 0 1
## 3453 0 0
## 3454 0 0
## 3455 0 0
## 3456 0 1
## 3457 0 1
## 3458 0 0
## 3459 0 0
## 3460 0 0
## 3461 0 0
## 3462 0 1
## 3463 0 1
## 3464 0 1
## 3465 0 0
## 3466 0 0
## 3467 0 0
## 3468 0 1
## 3469 0 0
## 3470 0 0
## 3471 0 0
## 3472 0 1
## 3473 0 0
## 3474 0 0
## 3475 0 1
## 3476 0 0
## 3477 0 1
## 3478 0 0
## 3479 0 0
## 3480 0 0
## 3481 0 0
## 3482 0 0
## 3483 0 0
## 3484 0 1
## 3485 0 0
## 3486 0 0
## 3487 0 0
## 3488 0 1
## 3489 0 0
## 3490 0 0
## 3491 0 0
## 3492 0 0
## 3493 0 1
## 3494 0 0
## 3495 0 0
## 3496 0 0
## 3497 0 0
## 3498 0 1
## 3499 0 0
## 3500 0 0
## 3501 0 0
## 3502 0 0
## 3503 0 0
## 3504 0 0
## 3505 0 1
## 3506 0 0
## 3507 0 0
## 3508 0 0
## 3509 0 0
## 3510 0 0
## 3511 0 1
## 3512 0 0
## 3513 0 0
## 3514 0 0
## 3515 0 1
## 3516 0 0
## 3517 0 0
## 3518 0 0
## 3519 0 1
## 3520 0 0
## 3521 0 1
## 3522 0 0
## 3523 0 0
## 3524 0 0
## 3525 0 0
## 3526 0 0
## 3527 0 1
## 3528 0 0
## 3529 0 1
## 3530 0 0
## 3531 0 0
## 3532 0 0
## 3533 0 0
## 3534 0 1
## 3535 0 0
## 3536 0 0
## 3537 0 0
## 3538 0 0
## 3539 0 0
## 3540 0 0
## 3541 0 0
## 3542 0 0
## 3543 0 0
## 3544 0 0
## 3545 0 0
## 3546 0 0
## 3547 0 0
## 3548 0 0
## 3549 0 0
## 3550 0 0
## 3551 0 0
## 3552 0 0
## 3553 0 0
## 3554 0 0
## 3555 0 1
## 3556 0 1
## 3557 0 1
## 3558 0 0
## 3559 0 0
## 3560 0 1
## 3561 0 0
## 3562 0 0
## 3563 0 1
## 3564 0 1
## 3565 0 1
## 3566 0 0
## 3567 0 0
## 3568 0 0
## 3569 0 0
## 3570 0 0
## 3571 0 0
## 3572 0 0
## 3573 0 0
## 3574 0 0
## 3575 0 1
## 3576 0 0
## 3577 0 0
## 3578 0 1
## 3579 0 0
## 3580 0 0
## 3581 0 1
## 3582 0 1
## 3583 0 0
## 3584 0 0
## 3585 0 1
## 3586 0 1
## 3587 0 0
## 3588 0 0
## 3589 0 0
## 3590 0 1
## 3591 0 0
## 3592 0 0
## 3593 0 0
## 3594 0 0
## 3595 0 1
## 3596 0 0
## 3597 0 0
## 3598 0 0
## 3599 0 0
## 3600 0 1
## 3601 0 1
## 3602 0 0
## 3603 0 0
## 3604 0 1
## 3605 0 1
## 3606 0 0
## 3607 0 1
## 3608 0 0
## 3609 0 0
## 3610 0 0
## 3611 0 0
## 3612 0 0
## 3613 0 0
## 3614 0 1
## 3615 0 1
## 3616 0 0
## 3617 0 0
## 3618 0 0
## 3619 0 0
## 3620 0 0
## 3621 0 0
## 3622 0 0
## 3623 0 0
## 3624 0 0
## 3625 0 1
## 3626 0 0
## 3627 0 1
## 3628 0 1
## 3629 0 0
## 3630 0 1
## 3631 0 1
## 3632 0 0
## 3633 0 1
## 3634 0 0
## 3635 0 0
## 3636 0 1
## 3637 0 1
## 3638 0 1
## 3639 0 0
## 3640 0 0
## 3641 0 1
## 3642 0 1
## 3643 0 0
## 3644 0 0
## 3645 0 0
## 3646 0 0
## 3647 0 0
## 3648 0 1
## 3649 0 1
## 3650 0 0
## 3651 0 1
## 3652 0 0
## 3653 0 0
## 3654 0 0
## 3655 0 0
## 3656 0 1
## 3657 0 0
## 3658 0 0
## 3659 0 0
## 3660 0 0
## 3661 0 0
## 3662 0 1
## 3663 0 0
## 3664 0 1
## 3665 0 0
## 3666 0 0
## 3667 0 0
## 3668 0 1
## 3669 0 0
## 3670 0 0
## 3671 0 0
## 3672 0 0
## 3673 0 1
## 3674 0 0
## 3675 0 1
## 3676 0 0
## 3677 0 1
## 3678 0 0
## 3679 0 1
## 3680 0 0
## 3681 0 0
## 3682 0 1
## 3683 0 1
## 3684 0 0
## 3685 0 0
## 3686 0 1
## 3687 0 1
## 3688 0 0
## 3689 0 0
## 3690 0 1
## 3691 0 0
## 3692 0 0
## 3693 0 1
## 3694 0 0
## 3695 0 0
## 3696 0 0
## 3697 0 1
## 3698 0 1
## 3699 0 0
## 3700 0 0
## 3701 0 0
## 3702 0 0
## 3703 0 0
## 3704 0 0
## 3705 0 0
## 3706 0 0
## 3707 0 0
## 3708 0 0
## 3709 0 0
## 3710 0 0
## 3711 0 1
## 3712 0 0
## 3713 0 0
## 3714 0 0
## 3715 0 1
## 3716 0 0
## 3717 0 1
## 3718 0 1
## 3719 0 0
## 3720 0 1
## 3721 0 0
## 3722 0 0
## 3723 0 0
## 3724 0 0
## 3725 0 0
## 3726 0 0
## 3727 0 0
## 3728 0 1
## 3729 0 1
## 3730 0 0
## 3731 0 0
## 3732 0 0
## 3733 0 0
## 3734 0 0
## 3735 0 1
## 3736 0 0
## 3737 0 1
## 3738 0 1
## 3739 0 0
## 3740 0 0
## 3741 0 0
## 3742 0 0
## 3743 0 0
## 3744 0 1
## 3745 0 0
## 3746 0 0
## 3747 0 1
## 3748 0 0
## 3749 0 1
## 3750 0 0
## 3751 0 1
## 3752 0 1
## 3753 0 1
## 3754 0 0
## 3755 0 0
## 3756 0 1
## 3757 0 1
## 3758 0 0
## 3759 0 0
## 3760 0 0
## 3761 0 0
## 3762 0 0
## 3763 0 0
## 3764 0 0
## 3765 0 0
## 3766 0 1
## 3767 0 0
## 3768 0 0
## 3769 0 1
## 3770 0 0
## 3771 0 0
## 3772 0 0
## 3773 0 0
## 3774 0 0
## 3775 0 0
## 3776 0 0
## 3777 0 0
## 3778 0 1
## 3779 0 0
## 3780 0 0
## 3781 0 0
## 3782 0 0
## 3783 0 0
## 3784 0 1
## 3785 0 0
## 3786 0 0
## 3787 0 0
## 3788 0 0
## 3789 0 0
## 3790 0 0
## 3791 0 0
## 3792 0 0
## 3793 0 0
## 3794 0 1
## 3795 0 0
## 3796 0 0
## 3797 0 0
## 3798 0 0
## 3799 0 0
## 3800 0 1
## 3801 0 0
## 3802 0 0
## 3803 0 1
## 3804 0 0
## 3805 0 1
## 3806 0 1
## 3807 0 1
## 3808 0 0
## 3809 0 0
## 3810 0 0
## 3811 0 1
## 3812 0 0
## 3813 0 0
## 3814 0 0
## 3815 0 1
## 3816 0 0
## 3817 0 1
## 3818 0 1
## 3819 0 1
## 3820 0 0
## 3821 0 0
## 3822 0 1
## 3823 0 0
## 3824 0 0
## 3825 0 0
## 3826 0 0
## 3827 0 1
## 3828 0 0
## 3829 0 0
## 3830 0 0
## 3831 0 0
## 3832 0 1
## 3833 0 0
## 3834 0 0
## 3835 0 1
## 3836 0 0
## 3837 0 0
## 3838 0 1
## 3839 0 1
## 3840 0 1
## 3841 0 0
## 3842 0 0
## 3843 0 0
## 3844 0 0
## 3845 0 1
## 3846 0 0
## 3847 0 1
## 3848 0 0
## 3849 0 0
## 3850 0 1
## 3851 0 0
## 3852 0 0
## 3853 0 1
## 3854 0 0
## 3855 0 0
## 3856 0 0
## 3857 0 0
## 3858 0 0
## 3859 0 0
## 3860 0 0
## 3861 0 0
## 3862 0 0
## 3863 0 1
## 3864 0 0
## 3865 0 1
## 3866 0 0
## 3867 0 0
## 3868 0 1
## 3869 0 0
## 3870 0 0
## 3871 0 0
## 3872 0 0
## 3873 0 1
## 3874 0 0
## 3875 0 0
## 3876 0 0
## 3877 0 1
## 3878 0 1
## 3879 0 0
## 3880 0 1
## 3881 0 0
## 3882 0 0
## 3883 0 1
## 3884 0 0
## 3885 0 0
## 3886 0 1
## 3887 0 1
## 3888 0 0
## 3889 0 0
## 3890 0 1
## 3891 0 0
## 3892 0 1
## 3893 0 0
## 3894 0 1
## 3895 0 0
## 3896 0 0
## 3897 0 0
## 3898 0 0
## 3899 0 1
## 3900 0 0
## 3901 0 0
## 3902 0 0
## 3903 0 0
## 3904 0 0
## 3905 0 0
## 3906 0 0
## 3907 0 1
## 3908 0 0
## 3909 0 0
## 3910 0 1
## 3911 0 0
## 3912 0 0
## 3913 0 1
## 3914 0 1
## 3915 0 1
## 3916 0 0
## 3917 0 1
## 3918 0 0
## 3919 0 1
## 3920 0 1
## 3921 0 1
## 3922 0 1
## 3923 0 0
## 3924 0 1
## 3925 0 0
## 3926 0 1
## 3927 0 0
## 3928 0 1
## 3929 0 0
## 3930 0 0
## 3931 0 0
## 3932 0 1
## 3933 0 1
## 3934 0 0
## 3935 0 1
## 3936 0 0
## 3937 0 0
## 3938 0 0
## 3939 0 0
## 3940 0 0
## 3941 0 0
## 3942 0 1
## 3943 0 0
## 3944 0 1
## 3945 0 1
## 3946 0 0
## 3947 0 1
## 3948 0 1
## 3949 0 1
## 3950 0 1
## 3951 0 1
## 3952 0 0
## 3953 0 1
## 3954 0 0
## 3955 0 1
## 3956 0 0
## 3957 0 1
## 3958 0 1
## 3959 0 1
## 3960 0 0
## 3961 0 1
## 3962 0 0
## 3963 0 0
## 3964 0 0
## 3965 0 0
## 3966 0 0
## 3967 0 1
## 3968 0 0
## 3969 0 1
## 3970 0 1
## 3971 0 0
## 3972 0 0
## 3973 0 0
## 3974 0 1
## 3975 0 1
## 3976 0 1
## 3977 0 1
## 3978 0 0
## 3979 0 0
## 3980 0 1
## 3981 0 0
## 3982 0 0
## 3983 0 1
## 3984 0 0
## 3985 0 1
## 3986 0 1
## 3987 0 0
## 3988 0 0
## 3989 0 0
## 3990 0 0
## 3991 0 0
## 3992 0 0
## 3993 0 1
## 3994 0 1
## 3995 0 0
## 3996 0 0
## 3997 0 0
## 3998 0 1
## 3999 0 0
## 4000 0 1
## 4001 0 1
## 4002 0 0
## 4003 0 0
## 4004 0 1
## 4005 0 1
## 4006 0 0
## 4007 0 1
## 4008 0 0
## 4009 0 1
## 4010 0 1
## 4011 0 0
## 4012 0 1
## 4013 0 0
## 4014 0 1
## 4015 0 1
## 4016 0 1
## 4017 0 1
## 4018 0 1
## 4019 0 1
## 4020 0 0
## 4021 0 0
## 4022 0 0
## 4023 0 1
## 4024 0 1
## 4025 0 0
## 4026 0 1
## 4027 0 0
## 4028 0 0
## 4029 0 1
## 4030 0 1
## 4031 0 0
## 4032 0 1
## 4033 0 0
## 4034 0 1
## 4035 0 1
## 4036 0 1
## 4037 0 0
## 4038 0 1
## 4039 0 1
## 4040 0 0
## 4041 0 0
## 4042 0 1
## 4043 0 1
## 4044 0 1
## 4045 0 1
## 4046 0 1
## 4047 0 0
## 4048 0 1
## 4049 0 0
## 4050 0 1
## 4051 0 0
## 4052 0 1
## 4053 0 0
## 4054 0 1
## 4055 0 0
## 4056 0 1
## 4057 0 1
## 4058 0 0
## 4059 0 1
## 4060 0 1
## 4061 0 1
## 4062 0 1
## 4063 0 0
## 4064 0 1
## 4065 0 0
## 4066 0 1
## 4067 0 0
## 4068 0 1
## 4069 0 1
## 4070 0 0
## 4071 0 1
## 4072 0 0
## 4073 0 1
## 4074 0 1
## 4075 0 0
## 4076 0 1
## 4077 0 1
## 4078 0 1
## 4079 0 0
## 4080 0 0
## 4081 0 0
## 4082 0 0
## 4083 0 1
## 4084 0 1
## 4085 0 0
## 4086 0 1
## 4087 0 1
## 4088 0 0
## 4089 0 1
## 4090 0 0
## 4091 0 1
## 4092 0 1
## 4093 0 0
## 4094 0 1
## 4095 0 0
## 4096 0 1
## 4097 0 0
## 4098 0 1
## 4099 0 1
## 4100 0 1
## 4101 0 0
## 4102 0 0
## 4103 0 0
## 4104 0 1
## 4105 0 1
## 4106 0 1
## 4107 0 1
## 4108 0 1
## 4109 0 0
## 4110 0 0
## 4111 0 0
## 4112 0 1
## 4113 0 1
## 4114 0 1
## 4115 0 0
## 4116 0 0
## 4117 0 0
## 4118 0 1
## 4119 0 0
## 4120 0 0
## 4121 0 0
## 4122 0 1
## 4123 0 1
## 4124 0 1
## 4125 0 1
## 4126 0 1
## 4127 0 1
## 4128 0 0
## 4129 0 1
## 4130 0 0
## 4131 0 0
## 4132 0 1
## 4133 0 1
## 4134 0 1
## 4135 0 1
## 4136 0 1
## 4137 0 1
## 4138 0 1
## 4139 0 1
## 4140 0 1
## 4141 0 1
## 4142 0 1
## 4143 0 1
## 4144 0 0
## 4145 0 1
## 4146 0 0
## 4147 0 1
## 4148 0 0
## 4149 0 1
## 4150 0 1
## 4151 0 1
## 4152 0 1
## 4153 0 1
## 4154 0 1
## 4155 0 1
## 4156 0 0
## 4157 0 0
## 4158 0 0
## 4159 0 0
## 4160 0 0
## 4161 0 1
## 4162 0 0
## 4163 0 0
## 4164 0 0
## 4165 0 0
## 4166 0 1
## 4167 0 0
## 4168 0 1
## 4169 0 0
## 4170 0 1
## 4171 0 1
## 4172 0 0
## 4173 0 1
## 4174 0 0
## 4175 0 1
## 4176 0 1
## 4177 0 0
## 4178 0 1
## 4179 0 1
## 4180 0 0
## 4181 0 0
## 4182 0 0
## 4183 0 0
## 4184 0 1
## 4185 0 1
## 4186 0 1
## 4187 0 0
## 4188 0 0
## 4189 0 0
## 4190 0 1
## 4191 0 1
## 4192 0 1
## 4193 0 1
## 4194 0 1
## 4195 0 0
## 4196 0 0
## 4197 0 0
## 4198 0 1
## 4199 0 1
## 4200 0 0
## 4201 0 0
## 4202 0 1
## 4203 0 0
## 4204 0 1
## 4205 0 1
## 4206 0 1
## 4207 0 1
## 4208 0 0
## 4209 0 1
## 4210 0 0
## 4211 0 1
## 4212 0 1
## 4213 0 1
## 4214 0 1
## 4215 0 1
## 4216 0 0
## 4217 0 1
## 4218 0 1
## 4219 0 1
## 4220 0 1
## 4221 0 0
## 4222 0 0
## 4223 0 0
## 4224 0 1
## 4225 0 0
## 4226 0 1
## 4227 0 0
## 4228 0 1
## 4229 0 1
## 4230 0 1
## 4231 0 1
## 4232 0 1
## 4233 0 1
## 4234 0 0
## 4235 0 1
## 4236 0 1
## 4237 0 1
## 4238 0 1
## 4239 0 1
## 4240 0 1
## 4241 0 1
## 4242 0 1
## 4243 0 1
## 4244 0 0
## 4245 0 0
## 4246 0 0
## 4247 0 1
## 4248 0 1
## 4249 0 0
## 4250 0 0
## 4251 0 0
## 4252 0 1
## 4253 0 1
## 4254 0 0
## 4255 0 1
## 4256 0 1
## 4257 0 1
## 4258 0 0
## 4259 0 1
## 4260 0 1
## 4261 0 1
## 4262 0 0
## 4263 0 1
## 4264 0 0
## 4265 0 0
## 4266 0 1
## 4267 0 0
## 4268 0 1
## 4269 0 0
## 4270 0 0
## 4271 0 1
## 4272 0 0
## 4273 0 1
## 4274 0 0
## 4275 0 1
## 4276 0 0
## 4277 0 0
## 4278 0 0
## 4279 0 1
## 4280 0 1
## 4281 0 1
## 4282 0 0
## 4283 0 1
## 4284 0 1
## 4285 0 0
## 4286 0 0
## 4287 0 0
## 4288 0 0
## 4289 0 1
## 4290 0 1
## 4291 0 0
## 4292 0 1
## 4293 0 1
## 4294 0 1
## 4295 0 1
## 4296 0 1
## 4297 0 1
## 4298 0 0
## 4299 0 0
## 4300 0 0
## 4301 0 1
## 4302 0 1
## 4303 0 0
## 4304 0 1
## 4305 0 1
## 4306 0 1
## 4307 0 1
## 4308 0 1
## 4309 0 1
## 4310 0 1
## 4311 0 1
## 4312 0 1
## 4313 0 1
## 4314 0 1
## 4315 0 0
## 4316 0 1
## 4317 0 1
## 4318 0 1
## 4319 0 0
## 4320 0 1
## 4321 0 1
## 4322 0 1
## 4323 0 1
## 4324 0 1
## 4325 0 1
## 4326 0 0
## 4327 0 1
## 4328 0 1
## 4329 0 0
## 4330 0 0
## 4331 0 1
## 4332 0 1
## 4333 0 1
## 4334 0 1
## 4335 0 1
## 4336 0 1
## 4337 0 1
## 4338 0 0
## 4339 0 1
## 4340 0 0
## 4341 0 1
## 4342 0 1
## 4343 0 0
## 4344 0 1
## 4345 0 1
## 4346 0 1
## 4347 0 0
## 4348 0 0
## 4349 0 1
## 4350 0 0
## 4351 0 1
## 4352 0 1
## 4353 0 1
## 4354 0 1
## 4355 0 0
## 4356 0 0
## 4357 0 1
## 4358 0 1
## 4359 0 0
## 4360 0 0
## 4361 0 1
## 4362 0 1
## 4363 0 0
## 4364 0 1
## 4365 0 1
## 4366 0 1
## 4367 0 1
## 4368 0 0
## 4369 0 1
## 4370 0 0
## 4371 0 0
## 4372 0 0
## 4373 0 1
## 4374 0 1
## 4375 0 1
## 4376 0 1
## 4377 0 1
## 4378 0 0
## 4379 0 0
## 4380 0 0
## 4381 0 0
## 4382 0 1
## 4383 0 1
## 4384 0 0
## 4385 0 0
## 4386 0 0
## 4387 0 1
## 4388 0 1
## 4389 0 0
## 4390 0 1
## 4391 0 0
## 4392 0 1
## 4393 0 1
## 4394 0 1
## 4395 0 1
## 4396 0 1
## 4397 0 1
## 4398 0 1
## 4399 0 0
## 4400 0 1
## 4401 0 0
## 4402 0 0
## 4403 0 1
## 4404 0 1
## 4405 0 0
## 4406 0 1
## 4407 0 0
## 4408 0 0
## 4409 0 1
## 4410 0 0
## 4411 0 0
## 4412 0 1
## 4413 0 0
## 4414 0 1
## 4415 0 0
## 4416 0 0
## 4417 0 1
## 4418 0 1
## 4419 0 1
## 4420 0 0
## 4421 0 0
## 4422 0 1
## 4423 0 0
## 4424 0 1
## 4425 0 0
## 4426 0 1
## 4427 0 1
## 4428 0 1
## 4429 0 1
## 4430 0 1
## 4431 0 1
## 4432 0 1
## 4433 0 1
## 4434 0 1
## 4435 0 1
## 4436 0 1
## 4437 0 0
## 4438 0 0
## 4439 0 1
## 4440 0 1
## 4441 0 1
## 4442 0 1
## 4443 0 1
## 4444 0 1
## 4445 0 0
## 4446 0 1
## 4447 0 0
## 4448 0 0
## 4449 0 1
## 4450 0 1
## 4451 0 1
## 4452 0 0
## 4453 0 0
## 4454 0 1
## 4455 0 1
## 4456 0 1
## 4457 0 1
## 4458 0 1
## 4459 0 1
## 4460 0 0
## 4461 0 1
## 4462 0 0
## 4463 0 1
## 4464 0 0
## 4465 0 1
## 4466 0 1
## 4467 0 1
## 4468 0 0
## 4469 0 1
## 4470 0 1
## 4471 0 1
## 4472 0 1
## 4473 0 1
## 4474 0 1
## 4475 0 1
## 4476 0 0
## 4477 0 1
## 4478 0 0
## 4479 0 0
## 4480 0 0
## 4481 0 1
## 4482 0 1
## 4483 0 1
## 4484 0 0
## 4485 0 1
## 4486 0 0
## 4487 0 0
## 4488 0 0
## 4489 0 1
## 4490 0 1
## 4491 0 1
## 4492 0 0
## 4493 0 1
## 4494 0 1
## 4495 0 1
## 4496 0 1
## 4497 0 1
## 4498 0 0
## 4499 0 1
## 4500 0 0
## 4501 0 1
## 4502 0 0
## 4503 0 1
## 4504 0 0
## 4505 0 1
## 4506 0 0
## 4507 0 0
## 4508 0 1
## 4509 0 1
## 4510 0 1
## 4511 0 0
## 4512 0 1
## 4513 0 1
## 4514 0 1
## 4515 0 0
## 4516 0 0
## 4517 0 1
## 4518 0 1
## 4519 0 1
## 4520 0 1
## 4521 0 1
## 4522 0 1
## 4523 0 1
## 4524 0 1
## 4525 0 1
## 4526 0 1
## 4527 0 1
## 4528 0 1
## 4529 0 0
## 4530 0 1
## 4531 0 0
## 4532 0 1
## 4533 0 1
## 4534 0 1
## 4535 0 1
## 4536 0 1
## 4537 0 1
## 4538 0 0
## 4539 0 1
## 4540 0 0
## 4541 0 1
## 4542 0 1
## 4543 0 1
## 4544 0 1
## 4545 0 1
## 4546 0 1
## 4547 0 0
## 4548 0 1
## 4549 0 0
## 4550 0 1
## 4551 0 1
## 4552 0 0
## 4553 0 1
## 4554 0 0
## 4555 0 1
## 4556 0 0
## 4557 0 1
## 4558 0 1
## 4559 0 0
## 4560 0 0
## 4561 0 1
## 4562 0 1
## 4563 0 0
## 4564 0 0
## 4565 0 1
## 4566 0 1
## 4567 0 0
## 4568 0 0
## 4569 0 1
## 4570 0 0
## 4571 0 0
## 4572 0 1
## 4573 0 0
## 4574 0 0
## 4575 0 1
## 4576 0 1
## 4577 0 1
## 4578 0 1
## 4579 0 0
## 4580 0 1
## 4581 0 0
## 4582 0 1
## 4583 0 0
## 4584 0 0
## 4585 0 1
## 4586 0 1
## 4587 0 1
## 4588 0 0
## 4589 0 1
## 4590 0 1
## 4591 0 1
## 4592 0 1
## 4593 0 1
## 4594 0 0
## 4595 0 1
## 4596 0 1
## 4597 0 1
## 4598 0 1
## 4599 0 0
## 4600 0 1
## 4601 0 1
## 4602 0 0
## 4603 0 1
## 4604 0 0
## 4605 0 0
## 4606 0 0
## 4607 0 0
## 4608 0 1
## 4609 0 1
## 4610 0 1
## 4611 0 1
## 4612 0 0
## 4613 0 1
## 4614 0 1
## 4615 0 1
## 4616 0 1
## 4617 0 1
## 4618 0 0
## 4619 0 1
## 4620 0 1
## 4621 0 1
## 4622 0 1
## 4623 0 1
## 4624 0 1
## 4625 0 0
## 4626 0 1
## 4627 0 0
## 4628 0 1
## 4629 0 0
## 4630 0 0
## 4631 0 1
## 4632 0 0
## 4633 0 1
## 4634 0 1
## 4635 0 1
## 4636 0 0
## 4637 0 0
## 4638 0 1
## 4639 0 1
## 4640 0 1
## 4641 0 1
## 4642 0 1
## 4643 0 1
## 4644 0 1
## 4645 0 1
## 4646 0 1
## 4647 0 1
## 4648 0 1
## 4649 0 0
## 4650 0 1
## 4651 0 1
## 4652 0 1
## 4653 0 1
## 4654 0 1
## 4655 0 1
## 4656 0 1
## 4657 0 1
## 4658 0 0
## 4659 0 1
## 4660 0 1
## 4661 0 1
## 4662 0 1
## 4663 0 1
## 4664 0 0
## 4665 0 0
## 4666 0 1
## 4667 0 0
## 4668 0 0
## 4669 0 1
## 4670 0 1
## 4671 0 1
## 4672 0 0
## 4673 0 1
## 4674 0 1
## 4675 0 1
## 4676 0 1
## 4677 0 1
## 4678 0 0
## 4679 0 1
## 4680 0 1
## 4681 0 1
## 4682 0 1
## 4683 0 0
## 4684 0 0
## 4685 0 1
## 4686 0 0
## 4687 0 1
## 4688 0 1
## 4689 0 0
## 4690 0 1
## 4691 0 0
## 4692 0 1
## 4693 0 0
## 4694 0 1
## 4695 0 0
## 4696 0 1
## 4697 0 0
## 4698 0 1
## 4699 0 1
## 4700 0 1
## 4701 0 1
## 4702 0 0
## 4703 0 1
## 4704 0 1
## 4705 0 1
## 4706 0 1
## 4707 0 1
## 4708 0 0
## 4709 0 1
## 4710 0 0
## 4711 0 1
## 4712 0 1
## 4713 1 0
## 4714 0 1
## 4715 0 0
## 4716 0 1
## 4717 0 1
## 4718 0 1
## 4719 0 1
## 4720 0 1
## 4721 0 1
## 4722 0 1
## 4723 0 1
## 4724 0 1
## 4725 0 1
## 4726 0 1
## 4727 0 1
## 4728 0 1
## 4729 0 1
## 4730 0 1
## 4731 0 0
## 4732 0 1
## 4733 0 0
## 4734 0 1
## 4735 0 1
## 4736 0 1
## 4737 0 1
## 4738 0 0
## 4739 0 1
## 4740 0 1
## 4741 0 1
## 4742 0 1
## 4743 0 0
## 4744 0 1
## 4745 0 1
## 4746 0 1
## 4747 0 0
## 4748 0 0
## 4749 0 0
## 4750 0 1
## 4751 0 0
## 4752 0 1
## 4753 0 1
## 4754 0 0
## 4755 0 1
## 4756 0 1
## 4757 0 1
## 4758 0 1
## 4759 0 1
## 4760 0 1
## 4761 0 0
## 4762 0 0
## 4763 0 0
## 4764 0 0
## 4765 0 0
## 4766 0 1
## 4767 0 1
## 4768 0 1
## 4769 0 0
## 4770 0 1
## 4771 0 1
## 4772 0 0
## 4773 0 1
## 4774 0 0
## 4775 0 1
## 4776 0 1
## 4777 0 1
## 4778 0 0
## 4779 0 1
## 4780 0 0
## 4781 0 0
## 4782 0 0
## 4783 0 1
## 4784 0 1
## 4785 0 1
## 4786 0 0
## 4787 0 0
## 4788 0 0
## 4789 0 0
## 4790 0 1
## 4791 0 1
## 4792 0 0
## 4793 0 1
## 4794 0 0
## 4795 0 0
## 4796 0 1
## 4797 0 1
## 4798 0 1
## 4799 0 0
## 4800 0 0
## 4801 0 1
## 4802 0 1
## 4803 0 1
## 4804 0 1
## 4805 0 1
## 4806 0 0
## 4807 0 0
## 4808 0 0
## 4809 0 1
## 4810 0 0
## 4811 0 1
## 4812 0 1
## 4813 0 1
## 4814 0 1
## 4815 0 1
## 4816 0 1
## 4817 0 0
## 4818 0 1
## 4819 0 1
## 4820 0 0
## 4821 0 1
## 4822 0 1
## 4823 0 1
## 4824 0 0
## 4825 0 1
## 4826 0 1
## 4827 0 1
## 4828 0 0
## 4829 0 1
## 4830 0 1
## 4831 0 1
## 4832 0 1
## 4833 0 0
## 4834 0 1
## 4835 0 1
## 4836 0 1
## 4837 0 0
## 4838 0 0
## 4839 0 1
## 4840 0 0
## 4841 0 1
## 4842 0 0
## 4843 0 1
## 4844 0 1
## 4845 0 0
## 4846 0 1
## 4847 0 0
## 4848 0 1
## 4849 0 1
## 4850 0 0
## 4851 0 1
## 4852 0 1
## 4853 0 1
## 4854 0 1
## 4855 0 1
## 4856 0 1
## 4857 0 1
## 4858 0 1
## 4859 0 1
## 4860 0 1
## 4861 0 1
## 4862 0 1
## 4863 0 1
## 4864 0 0
## 4865 0 0
## 4866 0 1
## 4867 0 1
## 4868 0 1
## 4869 0 0
## 4870 0 1
## 4871 0 1
## 4872 0 1
## 4873 0 1
## 4874 0 0
## 4875 0 1
## 4876 0 0
## 4877 0 1
## 4878 0 1
## 4879 0 1
## 4880 0 1
## 4881 0 1
## 4882 0 1
## 4883 0 0
## 4884 0 0
## 4885 0 1
## 4886 0 1
## 4887 0 1
## 4888 0 0
## 4889 0 1
## 4890 0 1
## 4891 0 0
## 4892 0 1
## 4893 0 0
## 4894 0 1
## 4895 0 1
## 4896 0 1
## 4897 0 1
## 4898 0 0
## 4899 0 1
## 4900 0 1
## 4901 0 0
## 4902 0 1
## 4903 0 0
## 4904 0 1
## 4905 0 1
## 4906 0 1
## 4907 0 1
## 4908 0 0
## 4909 0 1
## 4910 0 1
## 4911 0 0
## 4912 0 1
## 4913 0 1
## 4914 0 1
## 4915 0 1
## 4916 0 1
## 4917 0 0
## 4918 0 0
## 4919 0 1
## 4920 0 1
## 4921 0 1
## 4922 0 1
## 4923 0 1
## 4924 0 0
## 4925 0 1
## 4926 0 1
## 4927 0 1
## 4928 0 1
## 4929 0 1
## 4930 0 1
## 4931 0 0
## 4932 0 0
## 4933 0 1
## 4934 0 1
## 4935 0 1
## 4936 0 1
## 4937 0 1
## 4938 0 0
## 4939 0 1
## 4940 0 1
## 4941 0 1
## 4942 0 0
## 4943 0 1
## 4944 0 1
## 4945 0 1
## 4946 0 1
## 4947 0 1
## 4948 0 1
## 4949 0 1
## 4950 0 0
## 4951 0 0
## 4952 0 1
## 4953 0 1
## 4954 0 1
## 4955 0 1
## 4956 0 0
## 4957 0 1
## 4958 0 1
## 4959 0 1
## 4960 0 0
## 4961 0 1
## 4962 0 1
## 4963 0 0
## 4964 0 1
## 4965 0 1
## 4966 0 0
## 4967 0 1
## 4968 0 1
## 4969 0 0
## 4970 0 0
## 4971 0 0
## 4972 0 1
## 4973 0 1
## 4974 0 1
## 4975 0 0
## 4976 0 0
## 4977 0 1
## 4978 0 0
## 4979 0 0
## 4980 0 0
## 4981 0 1
## 4982 0 1
## 4983 0 1
## 4984 0 1
## 4985 0 0
## 4986 0 1
## 4987 0 1
## 4988 0 0
## 4989 0 1
## 4990 0 0
## 4991 0 0
## 4992 0 0
## 4993 0 0
## 4994 0 1
## 4995 0 1
## 4996 0 1
## 4997 0 1
## 4998 0 1
## 4999 0 0
## 5000 0 1
## 5001 0 0
## 5002 0 1
## 5003 0 1
## 5004 0 1
## 5005 0 0
## 5006 0 0
## 5007 0 0
## 5008 0 0
## 5009 0 1
## 5010 0 1
## 5011 0 1
## 5012 0 1
## 5013 0 1
## 5014 0 1
## 5015 0 1
## 5016 0 1
## 5017 0 0
## 5018 0 0
## 5019 0 0
## 5020 0 1
## 5021 0 1
## 5022 0 1
## 5023 0 1
## 5024 0 1
## 5025 0 0
## 5026 0 0
## 5027 0 0
## 5028 0 1
## 5029 0 1
## 5030 0 1
## 5031 0 1
## 5032 0 1
## 5033 0 1
## 5034 0 0
## 5035 0 1
## 5036 0 1
## 5037 0 1
## 5038 0 1
## 5039 0 1
## 5040 0 1
## 5041 0 1
## 5042 0 0
## 5043 0 0
## 5044 0 1
## 5045 0 0
## 5046 0 0
## 5047 0 0
## 5048 0 0
## 5049 0 0
## 5050 0 1
## 5051 0 1
## 5052 0 1
## 5053 0 0
## 5054 0 0
## 5055 0 1
## 5056 0 1
## 5057 0 1
## 5058 0 0
## 5059 0 0
## 5060 0 1
## 5061 0 1
## 5062 0 1
## 5063 0 0
## 5064 0 0
## 5065 0 1
## 5066 0 1
## 5067 0 0
## 5068 0 1
## 5069 0 0
## 5070 0 1
## 5071 0 1
## 5072 0 1
## 5073 0 0
## 5074 0 1
## 5075 0 1
## 5076 0 1
## 5077 0 1
## 5078 0 1
## 5079 0 1
## 5080 0 0
## 5081 0 0
## 5082 0 1
## 5083 0 1
## 5084 0 0
## 5085 0 1
## 5086 0 0
## 5087 0 0
## 5088 0 0
## 5089 0 1
## 5090 0 1
## 5091 0 0
## 5092 0 1
## 5093 0 1
## 5094 0 1
## 5095 0 1
## 5096 0 1
## 5097 0 1
## 5098 0 1
## 5099 0 1
## 5100 0 1
## 5101 0 1
## 5102 0 1
## 5103 0 0
## 5104 0 1
## 5105 0 0
## 5106 0 0
## 5107 0 0
## 5108 0 1
## 5109 0 1
## 5110 0 1
## 5111 0 0
## 5112 0 0
## 5113 0 1
## 5114 0 1
## 5115 0 0
## 5116 0 0
## 5117 1 0
## 5118 0 0
## 5119 0 0
## 5120 0 1
## 5121 0 0
## 5122 0 1
## 5123 0 0
## 5124 0 0
## 5125 0 0
## 5126 0 0
## 5127 0 1
## 5128 0 1
## 5129 0 0
## 5130 0 0
## 5131 0 0
## 5132 0 1
## 5133 0 1
## 5134 0 1
## 5135 0 0
## 5136 0 1
## 5137 0 0
## 5138 0 0
## 5139 0 1
## 5140 0 0
## 5141 0 0
## 5142 0 0
## 5143 0 0
## 5144 0 1
## 5145 0 0
## 5146 0 1
## 5147 0 1
## 5148 0 0
## 5149 0 1
## 5150 0 1
## 5151 0 0
## 5152 0 1
## 5153 0 0
## 5154 1 0
## 5155 0 0
## 5156 0 0
## 5157 0 1
## 5158 0 0
## 5159 0 0
## 5160 0 1
## 5161 0 0
## 5162 0 0
## 5163 0 0
## 5164 0 0
## 5165 0 0
## 5166 0 0
## 5167 0 0
## 5168 0 0
## 5169 0 1
## 5170 0 0
## 5171 0 1
## 5172 0 1
## 5173 0 0
## 5174 0 0
## 5175 0 1
## 5176 0 0
## 5177 0 0
## 5178 0 0
## 5179 0 1
## 5180 0 1
## 5181 0 0
## 5182 0 1
## 5183 0 1
## 5184 0 0
## 5185 0 0
## 5186 0 0
## 5187 0 0
## 5188 1 0
## 5189 0 0
## 5190 1 0
## 5191 0 0
## 5192 0 1
## 5193 0 0
## 5194 0 0
## 5195 0 0
## 5196 1 0
## 5197 0 1
## 5198 0 0
## 5199 0 0
## 5200 0 0
## 5201 0 0
## 5202 0 0
## 5203 0 0
## 5204 0 0
## 5205 0 0
## 5206 0 0
## 5207 0 0
## 5208 1 0
## 5209 0 0
## 5210 0 0
## 5211 0 1
## 5212 0 0
## 5213 0 1
## 5214 0 0
## 5215 0 0
## 5216 0 0
## 5217 1 0
## 5218 0 0
## 5219 0 0
## 5220 0 0
## 5221 0 1
## 5222 1 0
## 5223 1 0
## 5224 0 1
## 5225 0 1
## 5226 0 0
## 5227 0 0
## 5228 0 1
## 5229 0 1
## 5230 1 0
## 5231 0 0
## 5232 0 0
## 5233 0 0
## 5234 0 0
## 5235 0 0
## 5236 0 0
## 5237 0 0
## 5238 0 1
## 5239 0 0
## 5240 1 0
## 5241 0 0
## 5242 0 0
## 5243 0 1
## 5244 0 1
## 5245 0 0
## 5246 0 0
## 5247 0 0
## 5248 0 0
## 5249 0 0
## 5250 0 0
## 5251 0 1
## 5252 0 0
## 5253 0 1
## 5254 0 0
## 5255 0 0
## 5256 0 0
## 5257 0 0
## 5258 0 0
## 5259 0 0
## 5260 0 0
## 5261 0 0
## 5262 0 0
## 5263 0 0
## 5264 0 0
## 5265 0 0
## 5266 0 0
## 5267 0 0
## 5268 1 0
## 5269 0 0
## 5270 0 0
## 5271 1 0
## 5272 0 0
## 5273 0 0
## 5274 0 0
## 5275 0 0
## 5276 0 0
## 5277 0 0
## 5278 0 0
## 5279 0 1
## 5280 0 1
## 5281 0 1
## 5282 0 0
## 5283 0 0
## 5284 0 0
## 5285 0 0
## 5286 0 0
## 5287 0 1
## 5288 0 1
## 5289 0 1
## 5290 0 0
## 5291 0 1
## 5292 0 0
## 5293 0 0
## 5294 0 1
## 5295 0 1
## 5296 0 0
## 5297 0 1
## 5298 0 0
## 5299 0 1
## 5300 0 0
## 5301 0 0
## 5302 0 0
## 5303 0 1
## 5304 0 0
## 5305 0 0
## 5306 0 0
## 5307 0 0
## 5308 0 0
## 5309 0 0
## 5310 0 0
## 5311 0 0
## 5312 0 0
## 5313 0 0
## 5314 0 1
## 5315 0 0
## 5316 0 0
## 5317 0 0
## 5318 0 1
## 5319 1 0
## 5320 0 0
## 5321 0 0
## 5322 0 0
## 5323 0 0
## 5324 0 0
## 5325 0 1
## 5326 0 0
## 5327 0 1
## 5328 0 1
## 5329 0 1
## 5330 0 0
## 5331 0 0
## 5332 0 1
## 5333 0 1
## 5334 0 1
## 5335 0 0
## 5336 0 1
## 5337 0 0
## 5338 0 1
## 5339 0 0
## 5340 0 1
## 5341 0 0
## 5342 0 0
## 5343 0 1
## 5344 0 1
## 5345 0 1
## 5346 0 0
## 5347 0 0
## 5348 0 1
## 5349 0 1
## 5350 0 1
## 5351 0 1
## 5352 0 1
## 5353 0 1
## 5354 0 1
## 5355 0 0
## 5356 0 1
## 5357 0 0
## 5358 0 0
## 5359 0 1
## 5360 0 0
## 5361 0 1
## 5362 0 0
## 5363 0 1
## 5364 0 1
## 5365 0 1
## 5366 0 0
## 5367 0 1
## 5368 0 1
## 5369 0 0
## 5370 0 0
## 5371 0 0
## 5372 0 0
## 5373 0 1
## 5374 0 1
## 5375 0 1
## 5376 0 1
## 5377 0 0
## 5378 0 0
## 5379 0 0
## 5380 0 0
## 5381 0 1
## 5382 0 0
## 5383 0 1
## 5384 0 1
## 5385 0 0
## 5386 0 1
## 5387 1 0
## 5388 0 0
## 5389 0 0
## 5390 0 1
## 5391 0 1
## 5392 0 1
## 5393 0 1
## 5394 0 0
## 5395 0 1
## 5396 0 0
## 5397 0 1
## 5398 0 1
## 5399 0 1
## 5400 0 1
## 5401 0 1
## 5402 0 1
## 5403 0 1
## 5404 0 1
## 5405 0 0
## 5406 0 1
## 5407 0 1
## 5408 0 1
## 5409 0 1
## 5410 0 1
## 5411 0 0
## 5412 0 1
## 5413 0 1
## 5414 0 1
## 5415 0 0
## 5416 0 0
## 5417 0 0
## 5418 0 0
## 5419 0 0
## 5420 0 0
## 5421 0 0
## 5422 0 0
## 5423 0 0
## 5424 0 1
## 5425 0 1
## 5426 0 1
## 5427 0 1
## 5428 0 0
## 5429 0 1
## 5430 0 1
## 5431 0 0
## 5432 0 0
## 5433 0 0
## 5434 0 0
## 5435 0 1
## 5436 0 0
## 5437 0 1
## 5438 0 0
## 5439 0 0
## 5440 0 0
## 5441 0 1
## 5442 0 0
## 5443 0 1
## 5444 0 0
## 5445 0 1
## 5446 0 1
## 5447 0 0
## 5448 0 1
## 5449 0 1
## 5450 0 0
## 5451 0 0
## 5452 0 1
## 5453 0 1
## 5454 0 1
## 5455 0 0
## 5456 0 1
## 5457 0 1
## 5458 0 0
## 5459 0 1
## 5460 0 1
## 5461 0 1
## 5462 0 1
## 5463 0 1
## 5464 0 0
## 5465 0 1
## 5466 0 0
## 5467 0 0
## 5468 0 1
## 5469 0 1
## 5470 0 1
## 5471 0 0
## 5472 0 1
## 5473 0 0
## 5474 0 1
## 5475 0 1
## 5476 0 0
## 5477 0 1
## 5478 0 1
## 5479 0 1
## 5480 0 0
## 5481 0 0
## 5482 0 1
## 5483 0 1
## 5484 0 1
## 5485 0 1
## 5486 0 1
## 5487 0 1
## 5488 0 0
## 5489 0 1
## 5490 0 0
## 5491 0 1
## 5492 0 1
## 5493 0 1
## 5494 0 0
## 5495 0 0
## 5496 0 1
## 5497 0 0
## 5498 0 1
## 5499 0 1
## 5500 0 1
## 5501 0 0
## 5502 0 1
## 5503 0 1
## 5504 0 1
## 5505 0 1
## 5506 0 0
## 5507 0 1
## 5508 0 0
## 5509 0 0
## 5510 0 0
## 5511 0 0
## 5512 0 0
## 5513 0 1
## 5514 0 1
## 5515 0 0
## 5516 0 1
## 5517 0 0
## 5518 0 0
## 5519 0 0
## 5520 0 1
## 5521 0 0
## 5522 0 0
## 5523 0 0
## 5524 0 0
## 5525 0 1
## 5526 0 1
## 5527 0 0
## 5528 0 1
## 5529 0 0
## 5530 0 1
## 5531 0 1
## 5532 0 1
## 5533 0 1
## 5534 0 1
## 5535 0 0
## 5536 0 0
## 5537 0 1
## 5538 0 1
## 5539 0 1
## 5540 0 1
## 5541 0 0
## 5542 0 1
## 5543 1 0
## 5544 0 1
## 5545 0 1
## 5546 0 0
## 5547 0 0
## 5548 0 0
## 5549 0 0
## 5550 0 0
## 5551 0 1
## 5552 0 1
## 5553 0 1
## 5554 0 0
## 5555 0 0
## 5556 0 0
## 5557 0 1
## 5558 0 1
## 5559 0 1
## 5560 0 1
## 5561 0 0
## 5562 0 1
## 5563 0 1
## 5564 0 0
## 5565 0 1
## 5566 0 1
## 5567 0 0
## 5568 0 1
## 5569 0 1
## 5570 0 0
## RURAL_URBAN_Rural Remoto RURAL_URBAN_Sem classificação RURAL_URBAN_Urbano
## 1 0 0 0
## 2 0 0 1
## 3 0 0 0
## 4 0 0 1
## 5 0 0 1
## 6 0 0 0
## 7 1 0 0
## 8 1 0 0
## 9 0 0 0
## 10 0 0 1
## 11 0 0 1
## 12 0 0 1
## 13 1 0 0
## 14 0 0 0
## 15 0 0 1
## 16 0 0 1
## 17 0 0 1
## 18 0 0 0
## 19 0 0 0
## 20 0 0 1
## 21 0 0 0
## 22 0 0 1
## 23 1 0 0
## 24 1 0 0
## 25 0 0 0
## 26 0 0 0
## 27 0 0 0
## 28 0 0 0
## 29 0 0 0
## 30 0 0 0
## 31 0 0 0
## 32 0 0 1
## 33 0 0 0
## 34 1 0 0
## 35 0 0 0
## 36 0 0 0
## 37 0 0 0
## 38 0 0 0
## 39 0 0 0
## 40 0 0 0
## 41 0 0 0
## 42 0 0 0
## 43 1 0 0
## 44 0 0 0
## 45 0 0 0
## 46 1 0 0
## 47 1 0 0
## 48 0 0 0
## 49 0 0 0
## 50 0 0 0
## 51 1 0 0
## 52 0 0 0
## 53 0 0 0
## 54 1 0 0
## 55 0 0 0
## 56 0 0 0
## 57 0 0 0
## 58 0 0 1
## 59 0 0 0
## 60 0 0 0
## 61 1 0 0
## 62 0 0 0
## 63 1 0 0
## 64 1 0 0
## 65 0 0 0
## 66 1 0 0
## 67 0 0 1
## 68 0 0 0
## 69 1 0 0
## 70 0 0 0
## 71 0 0 0
## 72 0 0 0
## 73 0 0 0
## 74 0 0 0
## 75 1 0 0
## 76 1 0 0
## 77 1 0 0
## 78 1 0 0
## 79 0 0 0
## 80 1 0 0
## 81 1 0 0
## 82 0 0 0
## 83 1 0 0
## 84 0 0 0
## 85 1 0 0
## 86 1 0 0
## 87 0 0 0
## 88 1 0 0
## 89 1 0 0
## 90 1 0 0
## 91 0 0 1
## 92 0 0 0
## 93 0 0 0
## 94 0 0 1
## 95 0 0 0
## 96 0 0 0
## 97 0 0 0
## 98 0 0 0
## 99 0 0 0
## 100 0 0 1
## 101 1 0 0
## 102 0 0 0
## 103 0 0 1
## 104 1 0 0
## 105 0 0 0
## 106 1 0 0
## 107 1 0 0
## 108 0 0 0
## 109 0 0 0
## 110 0 0 1
## 111 0 0 0
## 112 0 0 1
## 113 1 0 0
## 114 1 0 0
## 115 1 0 0
## 116 1 0 0
## 117 1 0 0
## 118 0 0 0
## 119 0 0 0
## 120 0 0 1
## 121 1 0 0
## 122 0 0 0
## 123 0 0 0
## 124 1 0 0
## 125 0 0 0
## 126 0 0 0
## 127 1 0 0
## 128 1 0 0
## 129 0 0 0
## 130 0 0 1
## 131 0 0 0
## 132 0 0 1
## 133 1 0 0
## 134 1 0 0
## 135 1 0 0
## 136 1 0 0
## 137 0 0 0
## 138 0 0 0
## 139 0 0 1
## 140 0 0 0
## 141 0 0 0
## 142 0 0 0
## 143 1 0 0
## 144 0 0 0
## 145 0 0 0
## 146 0 0 0
## 147 1 0 0
## 148 1 0 0
## 149 1 0 0
## 150 1 0 0
## 151 1 0 0
## 152 0 0 1
## 153 0 0 0
## 154 0 0 0
## 155 1 0 0
## 156 1 0 0
## 157 0 0 1
## 158 0 0 0
## 159 0 0 1
## 160 1 0 0
## 161 0 0 1
## 162 1 0 0
## 163 0 0 0
## 164 0 0 0
## 165 1 0 0
## 166 1 0 0
## 167 0 0 0
## 168 0 0 0
## 169 0 0 1
## 170 0 0 1
## 171 0 0 0
## 172 0 0 1
## 173 0 0 0
## 174 0 0 0
## 175 0 0 1
## 176 0 0 0
## 177 0 0 0
## 178 0 0 1
## 179 0 0 1
## 180 0 0 0
## 181 0 0 0
## 182 1 0 0
## 183 0 0 1
## 184 0 0 0
## 185 0 0 1
## 186 0 0 0
## 187 0 0 1
## 188 1 0 0
## 189 0 0 0
## 190 0 0 1
## 191 0 0 0
## 192 0 0 0
## 193 0 0 1
## 194 1 0 0
## 195 1 0 0
## 196 0 0 0
## 197 0 0 1
## 198 0 0 0
## 199 1 0 0
## 200 0 0 0
## 201 0 0 0
## 202 0 0 0
## 203 1 0 0
## 204 0 0 0
## 205 0 0 0
## 206 0 0 0
## 207 0 0 0
## 208 0 0 0
## 209 0 0 1
## 210 0 0 1
## 211 1 0 0
## 212 0 0 1
## 213 0 0 0
## 214 0 0 0
## 215 0 0 1
## 216 0 0 0
## 217 0 0 1
## 218 0 0 0
## 219 0 0 0
## 220 0 0 1
## 221 0 0 0
## 222 1 0 0
## 223 0 0 0
## 224 0 0 0
## 225 0 1 0
## 226 0 0 1
## 227 1 0 0
## 228 0 0 0
## 229 0 0 0
## 230 0 0 0
## 231 0 0 0
## 232 0 0 0
## 233 0 0 1
## 234 0 0 0
## 235 0 0 1
## 236 0 0 0
## 237 0 0 1
## 238 1 0 0
## 239 0 0 0
## 240 0 0 1
## 241 0 0 1
## 242 0 0 0
## 243 0 0 0
## 244 0 0 0
## 245 1 0 0
## 246 0 0 0
## 247 0 0 0
## 248 1 0 0
## 249 1 0 0
## 250 0 0 0
## 251 0 0 0
## 252 0 0 1
## 253 0 0 1
## 254 0 0 1
## 255 1 0 0
## 256 0 0 1
## 257 1 0 0
## 258 0 0 0
## 259 0 0 0
## 260 0 0 1
## 261 0 0 0
## 262 1 0 0
## 263 0 0 0
## 264 0 0 1
## 265 0 0 1
## 266 0 0 0
## 267 0 0 0
## 268 0 0 0
## 269 0 0 0
## 270 0 0 0
## 271 0 0 1
## 272 0 0 0
## 273 0 0 0
## 274 0 0 0
## 275 0 0 0
## 276 0 0 0
## 277 0 0 1
## 278 1 0 0
## 279 1 0 0
## 280 1 0 0
## 281 0 0 1
## 282 0 0 1
## 283 0 0 0
## 284 0 0 1
## 285 0 0 1
## 286 0 0 0
## 287 1 0 0
## 288 0 0 1
## 289 0 0 1
## 290 0 0 1
## 291 0 0 0
## 292 0 0 1
## 293 0 0 0
## 294 0 0 0
## 295 0 0 1
## 296 1 0 0
## 297 0 0 0
## 298 1 0 0
## 299 1 0 0
## 300 0 0 0
## 301 0 0 0
## 302 0 0 0
## 303 0 0 1
## 304 0 0 1
## 305 0 0 0
## 306 0 0 0
## 307 0 0 0
## 308 1 0 0
## 309 0 0 1
## 310 1 0 0
## 311 1 0 0
## 312 0 0 0
## 313 0 0 1
## 314 0 0 0
## 315 0 0 0
## 316 0 0 0
## 317 0 0 0
## 318 0 0 0
## 319 0 0 0
## 320 0 0 0
## 321 1 0 0
## 322 1 0 0
## 323 0 0 1
## 324 0 0 0
## 325 0 0 0
## 326 0 0 0
## 327 0 0 0
## 328 0 0 1
## 329 1 0 0
## 330 0 0 0
## 331 0 0 0
## 332 0 0 0
## 333 0 0 0
## 334 0 0 0
## 335 0 0 0
## 336 0 0 0
## 337 0 0 0
## 338 0 0 0
## 339 0 0 0
## 340 0 0 0
## 341 1 0 0
## 342 0 0 0
## 343 0 0 0
## 344 1 0 0
## 345 1 0 0
## 346 1 0 0
## 347 0 0 0
## 348 1 0 0
## 349 0 0 1
## 350 0 0 0
## 351 1 0 0
## 352 1 0 0
## 353 0 0 0
## 354 0 0 0
## 355 0 0 0
## 356 0 0 1
## 357 1 0 0
## 358 1 0 0
## 359 0 0 0
## 360 0 0 0
## 361 0 0 0
## 362 0 0 0
## 363 0 0 0
## 364 0 0 0
## 365 0 0 0
## 366 1 0 0
## 367 0 0 0
## 368 0 0 1
## 369 0 0 1
## 370 0 0 0
## 371 1 0 0
## 372 0 0 0
## 373 0 0 0
## 374 0 0 0
## 375 1 0 0
## 376 1 0 0
## 377 1 0 0
## 378 0 0 0
## 379 0 0 0
## 380 1 0 0
## 381 1 0 0
## 382 0 0 0
## 383 0 0 0
## 384 1 0 0
## 385 0 0 0
## 386 0 0 0
## 387 0 0 1
## 388 0 0 0
## 389 0 0 0
## 390 0 0 0
## 391 0 0 0
## 392 1 0 0
## 393 0 0 0
## 394 0 0 0
## 395 0 0 0
## 396 0 0 0
## 397 1 0 0
## 398 1 0 0
## 399 0 0 0
## 400 0 0 0
## 401 1 0 0
## 402 0 0 1
## 403 1 0 0
## 404 0 0 0
## 405 0 0 0
## 406 0 0 0
## 407 1 0 0
## 408 1 0 0
## 409 1 0 0
## 410 0 0 0
## 411 0 0 0
## 412 1 0 0
## 413 0 0 0
## 414 1 0 0
## 415 0 0 1
## 416 0 0 0
## 417 0 0 0
## 418 0 0 0
## 419 1 0 0
## 420 0 0 0
## 421 1 0 0
## 422 0 0 0
## 423 0 0 0
## 424 0 0 0
## 425 1 0 0
## 426 0 0 0
## 427 1 0 0
## 428 0 0 0
## 429 0 0 0
## 430 0 0 0
## 431 0 0 0
## 432 0 0 0
## 433 1 0 0
## 434 0 0 0
## 435 1 0 0
## 436 0 0 0
## 437 0 0 0
## 438 0 0 0
## 439 0 0 0
## 440 0 0 0
## 441 1 0 0
## 442 1 0 0
## 443 0 0 0
## 444 0 0 1
## 445 0 0 0
## 446 0 0 1
## 447 0 0 0
## 448 0 0 0
## 449 0 0 0
## 450 0 0 0
## 451 0 0 1
## 452 0 0 0
## 453 0 0 0
## 454 0 0 0
## 455 0 0 0
## 456 0 0 0
## 457 0 0 1
## 458 0 0 0
## 459 1 0 0
## 460 0 0 0
## 461 0 0 0
## 462 0 0 0
## 463 0 0 0
## 464 1 0 0
## 465 0 0 0
## 466 0 0 0
## 467 1 0 0
## 468 0 0 0
## 469 0 0 0
## 470 0 0 1
## 471 0 0 0
## 472 1 0 0
## 473 0 0 0
## 474 0 0 1
## 475 0 0 1
## 476 0 0 1
## 477 1 0 0
## 478 0 0 0
## 479 0 0 0
## 480 0 0 0
## 481 0 0 0
## 482 0 0 0
## 483 0 0 0
## 484 0 0 0
## 485 0 0 0
## 486 0 0 0
## 487 0 0 0
## 488 0 0 0
## 489 0 0 0
## 490 0 0 1
## 491 0 0 1
## 492 0 0 0
## 493 0 0 0
## 494 0 0 0
## 495 0 0 0
## 496 0 0 1
## 497 0 0 0
## 498 0 0 0
## 499 0 0 0
## 500 0 0 0
## 501 0 0 1
## 502 0 0 1
## 503 0 0 0
## 504 0 0 0
## 505 0 0 0
## 506 0 0 0
## 507 0 0 1
## 508 0 0 0
## 509 0 0 1
## 510 0 0 1
## 511 0 0 0
## 512 0 0 0
## 513 0 0 1
## 514 0 0 0
## 515 0 0 1
## 516 0 0 0
## 517 0 0 0
## 518 0 0 0
## 519 0 0 1
## 520 1 0 0
## 521 1 0 0
## 522 1 0 0
## 523 0 0 0
## 524 0 0 0
## 525 0 0 0
## 526 0 0 0
## 527 0 0 0
## 528 0 0 0
## 529 0 0 0
## 530 0 0 0
## 531 0 0 0
## 532 0 0 0
## 533 0 0 0
## 534 0 0 1
## 535 0 0 0
## 536 1 0 0
## 537 0 0 0
## 538 0 0 0
## 539 0 0 0
## 540 0 0 1
## 541 1 0 0
## 542 0 0 1
## 543 0 0 0
## 544 0 0 0
## 545 1 0 0
## 546 0 0 0
## 547 0 0 0
## 548 0 0 0
## 549 0 0 1
## 550 0 0 0
## 551 0 0 0
## 552 0 0 0
## 553 0 0 0
## 554 1 0 0
## 555 0 0 0
## 556 0 0 0
## 557 1 0 0
## 558 0 0 0
## 559 0 0 0
## 560 0 0 1
## 561 0 0 0
## 562 0 0 0
## 563 0 0 0
## 564 0 0 0
## 565 0 0 0
## 566 0 0 0
## 567 0 0 0
## 568 1 0 0
## 569 0 0 1
## 570 0 0 0
## 571 0 0 0
## 572 0 0 0
## 573 0 0 0
## 574 0 0 0
## 575 0 0 0
## 576 1 0 0
## 577 0 0 0
## 578 0 0 0
## 579 0 0 0
## 580 0 0 1
## 581 0 0 0
## 582 0 0 1
## 583 0 0 0
## 584 0 0 0
## 585 0 0 0
## 586 1 0 0
## 587 0 0 0
## 588 0 0 1
## 589 0 0 0
## 590 0 0 0
## 591 0 0 0
## 592 0 0 0
## 593 0 0 0
## 594 0 0 1
## 595 0 0 0
## 596 0 0 0
## 597 0 0 0
## 598 0 0 1
## 599 0 0 0
## 600 0 0 1
## 601 0 0 0
## 602 0 0 0
## 603 0 0 0
## 604 0 0 0
## 605 1 0 0
## 606 0 0 1
## 607 0 0 0
## 608 0 0 0
## 609 0 0 1
## 610 1 0 0
## 611 0 0 0
## 612 0 0 1
## 613 0 0 1
## 614 0 0 0
## 615 0 0 0
## 616 0 0 0
## 617 0 0 0
## 618 0 0 0
## 619 1 0 0
## 620 0 0 0
## 621 0 0 0
## 622 0 0 0
## 623 0 0 0
## 624 1 0 0
## 625 0 0 0
## 626 1 0 0
## 627 0 0 0
## 628 0 0 0
## 629 0 0 0
## 630 1 0 0
## 631 0 0 0
## 632 0 0 0
## 633 0 0 1
## 634 0 0 1
## 635 0 0 0
## 636 0 0 1
## 637 0 0 0
## 638 0 0 1
## 639 0 0 0
## 640 1 0 0
## 641 0 0 0
## 642 0 0 0
## 643 0 0 0
## 644 0 0 0
## 645 0 0 0
## 646 0 0 0
## 647 0 0 0
## 648 1 0 0
## 649 0 0 0
## 650 1 0 0
## 651 0 0 0
## 652 1 0 0
## 653 0 0 0
## 654 0 0 1
## 655 0 0 1
## 656 0 0 0
## 657 0 0 0
## 658 0 0 0
## 659 0 0 1
## 660 0 0 0
## 661 0 0 0
## 662 0 0 0
## 663 0 0 0
## 664 0 0 0
## 665 0 0 0
## 666 0 0 0
## 667 0 0 1
## 668 0 0 0
## 669 0 0 0
## 670 0 0 1
## 671 0 0 0
## 672 0 0 0
## 673 0 0 0
## 674 0 0 1
## 675 1 0 0
## 676 0 0 0
## 677 0 0 0
## 678 0 0 0
## 679 1 0 0
## 680 0 0 0
## 681 0 0 0
## 682 0 0 0
## 683 0 0 0
## 684 1 0 0
## 685 1 0 0
## 686 1 0 0
## 687 0 0 0
## 688 1 0 0
## 689 0 0 0
## 690 0 0 0
## 691 1 0 0
## 692 0 0 0
## 693 0 0 0
## 694 1 0 0
## 695 0 0 0
## 696 0 0 0
## 697 0 0 0
## 698 0 0 1
## 699 0 0 0
## 700 0 0 0
## 701 0 0 0
## 702 0 0 0
## 703 0 0 0
## 704 0 0 0
## 705 0 0 0
## 706 0 0 0
## 707 0 0 0
## 708 0 0 0
## 709 0 0 0
## 710 0 0 0
## 711 1 0 0
## 712 0 0 0
## 713 0 0 0
## 714 0 0 1
## 715 1 0 0
## 716 0 0 0
## 717 0 0 0
## 718 1 0 0
## 719 0 0 0
## 720 0 0 0
## 721 0 0 0
## 722 0 0 0
## 723 0 0 0
## 724 0 0 0
## 725 0 0 0
## 726 0 0 0
## 727 0 0 0
## 728 1 0 0
## 729 0 0 0
## 730 0 0 0
## 731 0 0 0
## 732 0 0 0
## 733 1 0 0
## 734 1 0 0
## 735 1 0 0
## 736 1 0 0
## 737 0 0 0
## 738 0 0 0
## 739 0 0 0
## 740 0 0 0
## 741 0 0 0
## 742 0 0 0
## 743 0 0 0
## 744 0 0 0
## 745 1 0 0
## 746 0 0 0
## 747 0 0 0
## 748 1 0 0
## 749 0 0 0
## 750 0 0 1
## 751 1 0 0
## 752 0 0 0
## 753 0 0 0
## 754 0 0 0
## 755 0 0 0
## 756 0 0 0
## 757 1 0 0
## 758 0 0 0
## 759 1 0 0
## 760 0 0 0
## 761 0 0 0
## 762 0 0 0
## 763 0 0 0
## 764 0 0 0
## 765 0 0 0
## 766 0 0 0
## 767 0 0 0
## 768 0 0 0
## 769 0 0 0
## 770 0 0 0
## 771 0 0 0
## 772 0 0 0
## 773 0 0 0
## 774 1 0 0
## 775 0 0 0
## 776 0 0 0
## 777 1 0 0
## 778 0 0 0
## 779 0 0 0
## 780 0 0 0
## 781 0 0 0
## 782 0 0 0
## 783 0 0 0
## 784 0 0 0
## 785 1 0 0
## 786 0 0 0
## 787 0 0 0
## 788 1 0 0
## 789 1 0 0
## 790 0 0 0
## 791 0 0 0
## 792 0 0 0
## 793 0 0 0
## 794 0 0 0
## 795 0 0 0
## 796 0 0 0
## 797 0 0 0
## 798 0 0 0
## 799 1 0 0
## 800 1 0 0
## 801 1 0 0
## 802 0 0 0
## 803 0 0 0
## 804 0 0 0
## 805 0 0 0
## 806 0 0 0
## 807 0 0 0
## 808 0 0 0
## 809 0 0 0
## 810 0 0 0
## 811 0 0 0
## 812 1 0 0
## 813 1 0 0
## 814 1 0 0
## 815 0 0 0
## 816 0 0 0
## 817 1 0 0
## 818 0 0 1
## 819 0 0 0
## 820 0 0 0
## 821 0 0 0
## 822 0 0 0
## 823 1 0 0
## 824 0 0 0
## 825 1 0 0
## 826 0 0 0
## 827 0 0 1
## 828 1 0 0
## 829 0 0 0
## 830 0 0 0
## 831 0 0 1
## 832 0 0 0
## 833 1 0 0
## 834 0 0 0
## 835 0 0 0
## 836 1 0 0
## 837 0 0 1
## 838 1 0 0
## 839 1 0 0
## 840 1 0 0
## 841 1 0 0
## 842 0 0 0
## 843 0 0 0
## 844 1 0 0
## 845 1 0 0
## 846 0 0 0
## 847 0 0 0
## 848 0 0 0
## 849 0 0 0
## 850 0 0 0
## 851 0 0 0
## 852 0 0 0
## 853 1 0 0
## 854 0 0 0
## 855 1 0 0
## 856 0 0 0
## 857 0 0 0
## 858 0 0 0
## 859 0 0 0
## 860 0 0 0
## 861 0 0 0
## 862 0 0 0
## 863 0 0 0
## 864 1 0 0
## 865 0 0 0
## 866 0 0 0
## 867 0 0 0
## 868 0 0 0
## 869 0 0 0
## 870 1 0 0
## 871 0 0 0
## 872 0 0 0
## 873 0 0 0
## 874 1 0 0
## 875 1 0 0
## 876 0 0 0
## 877 0 0 0
## 878 0 0 0
## 879 1 0 0
## 880 0 0 0
## 881 0 0 0
## 882 0 0 0
## 883 0 0 1
## 884 0 0 0
## 885 0 0 0
## 886 0 0 1
## 887 0 0 0
## 888 0 0 0
## 889 0 0 0
## 890 0 0 0
## 891 0 0 0
## 892 0 0 0
## 893 0 0 0
## 894 0 0 0
## 895 0 0 0
## 896 0 0 0
## 897 0 0 0
## 898 0 0 0
## 899 0 0 0
## 900 0 0 0
## 901 0 0 0
## 902 0 0 0
## 903 0 0 1
## 904 0 0 1
## 905 0 0 0
## 906 0 0 0
## 907 0 0 0
## 908 0 0 0
## 909 0 0 0
## 910 0 0 0
## 911 0 0 0
## 912 0 0 0
## 913 0 0 0
## 914 0 0 1
## 915 0 0 0
## 916 0 0 0
## 917 0 0 0
## 918 0 0 0
## 919 0 0 0
## 920 0 0 0
## 921 0 0 0
## 922 0 0 1
## 923 0 0 1
## 924 0 0 0
## 925 0 0 1
## 926 0 0 0
## 927 0 0 0
## 928 0 0 0
## 929 0 0 0
## 930 0 0 0
## 931 0 0 0
## 932 0 0 1
## 933 0 0 0
## 934 0 0 0
## 935 0 0 1
## 936 0 0 0
## 937 0 0 0
## 938 0 0 0
## 939 0 0 0
## 940 0 0 0
## 941 0 0 1
## 942 0 0 1
## 943 0 0 0
## 944 0 0 0
## 945 0 0 0
## 946 0 0 0
## 947 0 0 1
## 948 0 0 0
## 949 0 0 1
## 950 0 0 1
## 951 0 0 0
## 952 0 0 0
## 953 0 0 0
## 954 0 0 0
## 955 0 0 0
## 956 0 0 0
## 957 0 0 0
## 958 0 0 0
## 959 0 0 0
## 960 0 0 0
## 961 0 0 0
## 962 0 0 1
## 963 0 0 0
## 964 0 0 0
## 965 0 0 0
## 966 0 0 0
## 967 0 0 0
## 968 0 0 1
## 969 0 0 0
## 970 0 0 0
## 971 0 0 0
## 972 0 0 0
## 973 0 0 0
## 974 0 0 0
## 975 0 0 0
## 976 0 0 0
## 977 0 0 1
## 978 0 0 1
## 979 0 0 1
## 980 0 0 0
## 981 0 0 0
## 982 0 0 0
## 983 0 0 0
## 984 0 0 0
## 985 0 0 0
## 986 0 0 0
## 987 0 0 0
## 988 0 0 0
## 989 0 0 0
## 990 0 0 1
## 991 0 0 0
## 992 0 0 0
## 993 0 0 1
## 994 0 0 0
## 995 0 0 1
## 996 0 0 1
## 997 0 0 0
## 998 0 0 0
## 999 0 0 0
## 1000 0 0 0
## 1001 0 0 0
## 1002 0 0 0
## 1003 0 0 0
## 1004 0 0 0
## 1005 0 0 0
## 1006 0 0 0
## 1007 0 0 0
## 1008 0 0 0
## 1009 0 0 0
## 1010 0 0 0
## 1011 0 0 0
## 1012 0 0 0
## 1013 0 0 0
## 1014 0 0 0
## 1015 0 0 0
## 1016 0 0 0
## 1017 0 0 0
## 1018 0 0 1
## 1019 0 0 1
## 1020 0 0 0
## 1021 0 0 0
## 1022 0 0 0
## 1023 0 0 0
## 1024 0 0 0
## 1025 0 0 0
## 1026 0 0 0
## 1027 0 0 0
## 1028 0 0 0
## 1029 0 0 0
## 1030 0 0 0
## 1031 0 0 0
## 1032 0 0 0
## 1033 0 0 0
## 1034 0 0 0
## 1035 0 0 0
## 1036 0 0 0
## 1037 0 0 0
## 1038 0 0 0
## 1039 0 0 0
## 1040 0 0 1
## 1041 0 0 0
## 1042 0 0 1
## 1043 0 0 0
## 1044 0 0 0
## 1045 0 0 0
## 1046 0 0 1
## 1047 0 0 0
## 1048 0 0 0
## 1049 0 0 0
## 1050 0 0 0
## 1051 0 0 0
## 1052 0 0 0
## 1053 0 0 0
## 1054 0 0 0
## 1055 0 0 0
## 1056 0 0 0
## 1057 0 0 0
## 1058 0 0 1
## 1059 0 0 0
## 1060 0 0 0
## 1061 0 0 0
## 1062 0 0 0
## 1063 0 0 0
## 1064 0 0 0
## 1065 0 0 1
## 1066 0 0 0
## 1067 0 0 0
## 1068 0 0 0
## 1069 0 0 0
## 1070 0 0 0
## 1071 0 0 0
## 1072 0 0 0
## 1073 0 0 0
## 1074 0 0 0
## 1075 0 0 0
## 1076 0 0 0
## 1077 0 0 1
## 1078 0 0 0
## 1079 0 0 0
## 1080 0 0 0
## 1081 0 0 0
## 1082 0 0 0
## 1083 0 0 0
## 1084 0 0 0
## 1085 0 0 0
## 1086 0 0 1
## 1087 0 0 0
## 1088 0 0 0
## 1089 0 0 0
## 1090 0 0 0
## 1091 0 0 0
## 1092 0 0 0
## 1093 0 0 0
## 1094 0 0 0
## 1095 0 0 0
## 1096 0 0 0
## 1097 0 0 0
## 1098 0 0 1
## 1099 0 0 0
## 1100 0 0 1
## 1101 0 0 0
## 1102 0 0 0
## 1103 0 0 0
## 1104 0 0 1
## 1105 0 0 0
## 1106 0 0 0
## 1107 0 0 0
## 1108 0 0 0
## 1109 0 0 1
## 1110 0 0 0
## 1111 0 0 1
## 1112 0 0 0
## 1113 0 0 0
## 1114 0 0 0
## 1115 0 0 1
## 1116 0 0 0
## 1117 0 0 0
## 1118 0 0 0
## 1119 0 0 0
## 1120 0 0 0
## 1121 0 0 0
## 1122 0 0 1
## 1123 0 0 0
## 1124 0 0 0
## 1125 0 0 0
## 1126 0 0 0
## 1127 0 0 0
## 1128 0 0 0
## 1129 0 0 0
## 1130 0 0 0
## 1131 0 0 0
## 1132 0 0 0
## 1133 0 0 0
## 1134 0 0 0
## 1135 0 0 0
## 1136 0 0 0
## 1137 0 0 1
## 1138 0 0 0
## 1139 0 0 0
## 1140 0 0 0
## 1141 0 0 0
## 1142 0 0 0
## 1143 0 0 0
## 1144 0 0 0
## 1145 0 0 0
## 1146 0 0 0
## 1147 0 0 0
## 1148 0 0 0
## 1149 0 0 0
## 1150 0 0 0
## 1151 0 0 0
## 1152 0 0 0
## 1153 0 0 1
## 1154 0 0 0
## 1155 0 0 0
## 1156 0 0 0
## 1157 0 0 0
## 1158 0 0 0
## 1159 0 0 0
## 1160 0 0 0
## 1161 0 0 0
## 1162 0 0 0
## 1163 0 0 1
## 1164 0 0 1
## 1165 0 0 0
## 1166 0 0 0
## 1167 0 0 0
## 1168 0 0 0
## 1169 0 0 0
## 1170 0 0 0
## 1171 0 0 0
## 1172 0 0 1
## 1173 0 0 0
## 1174 0 0 0
## 1175 0 0 0
## 1176 0 0 0
## 1177 0 0 0
## 1178 0 0 1
## 1179 0 0 0
## 1180 0 0 0
## 1181 0 0 0
## 1182 0 0 0
## 1183 0 0 0
## 1184 0 0 0
## 1185 0 0 0
## 1186 0 0 0
## 1187 0 0 0
## 1188 0 0 0
## 1189 0 0 0
## 1190 0 0 0
## 1191 0 0 0
## 1192 0 0 0
## 1193 0 0 0
## 1194 0 0 0
## 1195 0 0 0
## 1196 0 0 0
## 1197 0 0 0
## 1198 0 0 1
## 1199 0 0 0
## 1200 0 0 0
## 1201 0 0 0
## 1202 0 0 0
## 1203 0 0 0
## 1204 0 0 0
## 1205 0 0 0
## 1206 0 0 1
## 1207 0 0 0
## 1208 0 0 0
## 1209 0 0 1
## 1210 0 0 0
## 1211 0 0 0
## 1212 0 0 0
## 1213 0 0 0
## 1214 0 0 0
## 1215 0 0 0
## 1216 0 0 0
## 1217 0 0 0
## 1218 0 0 0
## 1219 0 0 0
## 1220 0 0 0
## 1221 0 0 0
## 1222 0 0 0
## 1223 0 0 0
## 1224 0 0 0
## 1225 0 0 0
## 1226 0 0 0
## 1227 0 0 0
## 1228 0 0 0
## 1229 0 0 0
## 1230 0 0 0
## 1231 0 0 0
## 1232 0 0 0
## 1233 0 0 0
## 1234 0 0 0
## 1235 0 0 0
## 1236 0 0 0
## 1237 0 0 0
## 1238 0 0 0
## 1239 0 0 0
## 1240 0 0 0
## 1241 0 0 0
## 1242 0 0 0
## 1243 0 0 0
## 1244 0 0 0
## 1245 0 0 0
## 1246 0 0 0
## 1247 0 0 0
## 1248 0 0 0
## 1249 0 0 0
## 1250 0 0 1
## 1251 0 0 0
## 1252 0 0 0
## 1253 0 0 0
## 1254 0 0 0
## 1255 0 0 0
## 1256 0 0 0
## 1257 0 0 0
## 1258 0 0 0
## 1259 0 0 0
## 1260 0 0 0
## 1261 0 0 0
## 1262 0 0 0
## 1263 0 0 1
## 1264 0 0 0
## 1265 0 0 0
## 1266 0 0 0
## 1267 0 0 0
## 1268 0 0 1
## 1269 0 0 0
## 1270 0 0 0
## 1271 0 0 0
## 1272 0 0 0
## 1273 0 0 0
## 1274 0 0 0
## 1275 0 0 0
## 1276 0 0 0
## 1277 0 0 0
## 1278 0 0 0
## 1279 0 0 0
## 1280 0 0 0
## 1281 0 0 0
## 1282 0 0 1
## 1283 0 0 0
## 1284 0 0 1
## 1285 0 0 0
## 1286 0 0 0
## 1287 0 0 0
## 1288 0 0 0
## 1289 0 0 0
## 1290 0 0 1
## 1291 0 0 0
## 1292 0 0 0
## 1293 0 0 0
## 1294 0 0 1
## 1295 0 0 0
## 1296 0 0 0
## 1297 0 0 0
## 1298 0 0 0
## 1299 0 0 0
## 1300 0 0 0
## 1301 0 0 0
## 1302 0 0 0
## 1303 0 0 0
## 1304 0 0 1
## 1305 0 0 0
## 1306 0 0 0
## 1307 0 0 0
## 1308 0 0 0
## 1309 0 0 0
## 1310 0 0 1
## 1311 0 0 0
## 1312 0 0 0
## 1313 0 0 0
## 1314 0 0 0
## 1315 0 0 0
## 1316 0 0 0
## 1317 0 0 0
## 1318 0 0 0
## 1319 0 0 0
## 1320 0 0 0
## 1321 0 0 0
## 1322 0 0 0
## 1323 0 0 0
## 1324 0 0 0
## 1325 0 0 0
## 1326 0 0 1
## 1327 0 0 0
## 1328 0 0 0
## 1329 0 0 0
## 1330 0 0 0
## 1331 0 0 0
## 1332 0 0 1
## 1333 0 0 1
## 1334 0 0 0
## 1335 0 0 0
## 1336 0 0 0
## 1337 0 0 0
## 1338 0 0 1
## 1339 0 0 0
## 1340 0 0 0
## 1341 0 0 0
## 1342 0 0 1
## 1343 0 0 0
## 1344 0 0 0
## 1345 0 0 0
## 1346 0 0 1
## 1347 0 0 0
## 1348 0 0 0
## 1349 0 0 0
## 1350 0 0 1
## 1351 0 0 0
## 1352 0 0 0
## 1353 0 0 1
## 1354 0 0 0
## 1355 0 0 0
## 1356 0 0 1
## 1357 0 0 0
## 1358 0 0 1
## 1359 0 0 0
## 1360 0 0 0
## 1361 0 0 0
## 1362 0 0 0
## 1363 0 0 0
## 1364 0 0 0
## 1365 0 0 0
## 1366 0 0 0
## 1367 0 0 0
## 1368 0 0 0
## 1369 0 0 0
## 1370 0 0 1
## 1371 0 0 0
## 1372 0 0 0
## 1373 0 0 0
## 1374 0 0 0
## 1375 0 0 0
## 1376 0 0 0
## 1377 0 0 0
## 1378 0 0 1
## 1379 0 0 0
## 1380 0 0 0
## 1381 0 0 0
## 1382 0 0 1
## 1383 0 0 0
## 1384 0 0 0
## 1385 0 0 0
## 1386 0 0 0
## 1387 0 0 1
## 1388 0 0 0
## 1389 0 0 0
## 1390 0 0 0
## 1391 0 0 0
## 1392 0 0 0
## 1393 0 0 1
## 1394 0 0 0
## 1395 0 0 0
## 1396 0 0 1
## 1397 0 0 1
## 1398 0 0 1
## 1399 0 0 1
## 1400 0 0 0
## 1401 0 0 0
## 1402 0 0 0
## 1403 0 0 0
## 1404 0 0 0
## 1405 0 0 0
## 1406 0 0 1
## 1407 0 0 0
## 1408 0 0 0
## 1409 0 0 0
## 1410 0 0 0
## 1411 0 0 0
## 1412 0 0 0
## 1413 0 0 1
## 1414 0 0 0
## 1415 0 0 0
## 1416 0 0 0
## 1417 0 0 1
## 1418 0 0 0
## 1419 0 0 0
## 1420 0 0 1
## 1421 0 0 0
## 1422 0 0 0
## 1423 0 0 0
## 1424 0 0 0
## 1425 0 0 0
## 1426 0 0 0
## 1427 0 0 0
## 1428 0 0 0
## 1429 0 0 0
## 1430 0 0 0
## 1431 0 0 0
## 1432 0 0 0
## 1433 0 0 0
## 1434 0 0 0
## 1435 0 0 0
## 1436 0 0 0
## 1437 0 0 0
## 1438 0 0 0
## 1439 0 0 0
## 1440 0 0 0
## 1441 0 0 1
## 1442 0 0 0
## 1443 0 0 0
## 1444 0 0 0
## 1445 0 0 0
## 1446 0 0 0
## 1447 0 0 0
## 1448 0 0 0
## 1449 0 0 0
## 1450 0 0 1
## 1451 0 0 0
## 1452 0 0 0
## 1453 0 0 1
## 1454 0 0 0
## 1455 0 0 0
## 1456 0 0 0
## 1457 0 0 0
## 1458 0 0 0
## 1459 0 0 0
## 1460 0 0 0
## 1461 0 0 0
## 1462 0 0 0
## 1463 0 0 0
## 1464 0 0 0
## 1465 0 0 0
## 1466 0 0 1
## 1467 0 0 1
## 1468 0 0 0
## 1469 0 0 0
## 1470 0 0 0
## 1471 0 0 0
## 1472 0 0 0
## 1473 0 0 0
## 1474 0 0 0
## 1475 0 0 1
## 1476 0 0 0
## 1477 0 0 1
## 1478 0 0 0
## 1479 0 0 1
## 1480 0 0 1
## 1481 0 0 1
## 1482 0 0 0
## 1483 0 0 0
## 1484 0 0 1
## 1485 0 0 0
## 1486 0 0 1
## 1487 0 0 0
## 1488 0 0 1
## 1489 0 0 0
## 1490 0 0 0
## 1491 0 0 0
## 1492 0 0 0
## 1493 0 0 1
## 1494 0 0 0
## 1495 0 0 0
## 1496 0 0 1
## 1497 0 0 0
## 1498 0 0 1
## 1499 0 0 0
## 1500 0 0 0
## 1501 0 0 0
## 1502 0 0 1
## 1503 0 0 1
## 1504 0 0 1
## 1505 0 0 0
## 1506 0 0 0
## 1507 0 0 0
## 1508 0 0 0
## 1509 0 0 1
## 1510 0 0 1
## 1511 0 0 0
## 1512 0 0 1
## 1513 0 0 0
## 1514 0 0 0
## 1515 0 0 0
## 1516 0 0 1
## 1517 0 0 0
## 1518 0 0 0
## 1519 0 0 0
## 1520 0 0 1
## 1521 0 0 0
## 1522 0 0 0
## 1523 0 0 1
## 1524 0 0 0
## 1525 0 0 1
## 1526 1 0 0
## 1527 0 0 0
## 1528 0 0 0
## 1529 0 0 0
## 1530 0 0 0
## 1531 0 0 0
## 1532 0 0 1
## 1533 0 0 0
## 1534 0 0 1
## 1535 0 0 0
## 1536 0 0 1
## 1537 0 0 0
## 1538 0 0 0
## 1539 0 0 0
## 1540 0 0 1
## 1541 0 0 0
## 1542 0 0 0
## 1543 0 0 0
## 1544 0 0 1
## 1545 0 0 0
## 1546 0 0 0
## 1547 0 0 0
## 1548 0 0 1
## 1549 0 0 1
## 1550 0 0 0
## 1551 0 0 1
## 1552 0 0 1
## 1553 0 0 1
## 1554 0 0 0
## 1555 0 0 0
## 1556 0 0 0
## 1557 0 0 0
## 1558 0 0 1
## 1559 0 0 0
## 1560 0 0 0
## 1561 0 0 0
## 1562 0 0 0
## 1563 0 0 1
## 1564 0 0 0
## 1565 0 0 0
## 1566 0 0 0
## 1567 0 0 1
## 1568 0 0 1
## 1569 0 0 0
## 1570 0 0 0
## 1571 0 0 0
## 1572 0 0 0
## 1573 0 0 0
## 1574 0 0 1
## 1575 0 0 1
## 1576 0 0 1
## 1577 0 0 0
## 1578 0 0 0
## 1579 0 0 0
## 1580 0 0 1
## 1581 0 0 0
## 1582 0 0 0
## 1583 0 0 0
## 1584 0 0 0
## 1585 0 0 0
## 1586 0 0 1
## 1587 0 0 1
## 1588 0 0 0
## 1589 0 0 1
## 1590 0 0 0
## 1591 0 0 1
## 1592 0 0 0
## 1593 0 0 0
## 1594 0 0 0
## 1595 0 0 0
## 1596 0 0 0
## 1597 0 0 1
## 1598 0 0 0
## 1599 0 0 1
## 1600 0 0 0
## 1601 0 0 0
## 1602 0 0 0
## 1603 0 0 1
## 1604 0 0 0
## 1605 0 0 0
## 1606 0 0 0
## 1607 0 0 0
## 1608 0 0 1
## 1609 0 0 0
## 1610 0 0 0
## 1611 0 0 0
## 1612 0 0 0
## 1613 0 0 0
## 1614 0 0 0
## 1615 0 0 0
## 1616 0 0 0
## 1617 0 0 0
## 1618 0 0 1
## 1619 0 0 0
## 1620 0 0 0
## 1621 0 0 1
## 1622 0 0 0
## 1623 0 0 1
## 1624 0 0 0
## 1625 0 0 0
## 1626 0 0 0
## 1627 0 0 0
## 1628 0 0 0
## 1629 0 0 1
## 1630 0 0 0
## 1631 0 0 0
## 1632 0 0 0
## 1633 0 0 0
## 1634 0 0 0
## 1635 0 0 0
## 1636 0 0 0
## 1637 0 0 1
## 1638 0 0 1
## 1639 0 0 1
## 1640 0 0 1
## 1641 0 0 0
## 1642 0 0 0
## 1643 0 0 0
## 1644 0 0 0
## 1645 0 0 0
## 1646 0 0 0
## 1647 0 0 0
## 1648 0 0 0
## 1649 0 0 1
## 1650 0 0 0
## 1651 0 0 0
## 1652 0 0 0
## 1653 0 0 1
## 1654 0 0 1
## 1655 0 0 1
## 1656 0 0 0
## 1657 0 0 0
## 1658 0 0 0
## 1659 0 0 0
## 1660 0 0 1
## 1661 0 0 0
## 1662 0 0 0
## 1663 0 0 1
## 1664 0 0 0
## 1665 0 0 1
## 1666 0 0 0
## 1667 0 0 0
## 1668 0 0 0
## 1669 0 0 0
## 1670 0 0 0
## 1671 0 0 0
## 1672 0 0 1
## 1673 0 0 1
## 1674 0 0 1
## 1675 0 0 0
## 1676 0 0 1
## 1677 0 0 0
## 1678 0 0 0
## 1679 0 0 0
## 1680 0 0 0
## 1681 0 0 1
## 1682 0 0 0
## 1683 0 0 0
## 1684 0 0 0
## 1685 0 0 0
## 1686 0 0 0
## 1687 0 0 0
## 1688 0 0 0
## 1689 0 0 0
## 1690 0 0 0
## 1691 0 0 0
## 1692 0 0 0
## 1693 0 0 0
## 1694 0 0 0
## 1695 0 0 0
## 1696 0 0 0
## 1697 0 0 1
## 1698 0 0 0
## 1699 0 0 1
## 1700 0 0 0
## 1701 0 0 1
## 1702 0 0 0
## 1703 0 0 0
## 1704 0 0 0
## 1705 0 0 1
## 1706 0 0 1
## 1707 0 0 0
## 1708 0 0 0
## 1709 0 0 1
## 1710 0 0 0
## 1711 0 0 0
## 1712 0 0 0
## 1713 0 0 0
## 1714 0 0 0
## 1715 0 0 0
## 1716 0 0 0
## 1717 0 0 1
## 1718 0 0 0
## 1719 0 0 0
## 1720 0 0 1
## 1721 0 0 0
## 1722 0 0 0
## 1723 0 0 1
## 1724 0 0 0
## 1725 0 0 1
## 1726 0 0 0
## 1727 0 0 0
## 1728 0 0 0
## 1729 0 0 1
## 1730 0 0 0
## 1731 0 0 0
## 1732 0 0 0
## 1733 0 0 1
## 1734 0 0 0
## 1735 0 0 1
## 1736 0 0 1
## 1737 0 0 0
## 1738 0 0 0
## 1739 0 0 0
## 1740 0 0 0
## 1741 0 0 0
## 1742 0 0 1
## 1743 0 0 0
## 1744 0 0 0
## 1745 0 0 1
## 1746 0 0 0
## 1747 0 0 0
## 1748 0 0 0
## 1749 0 0 1
## 1750 0 0 0
## 1751 0 0 1
## 1752 0 0 1
## 1753 0 0 0
## 1754 0 0 0
## 1755 0 0 1
## 1756 0 0 0
## 1757 0 0 0
## 1758 0 0 1
## 1759 0 0 0
## 1760 0 0 0
## 1761 0 0 0
## 1762 0 0 0
## 1763 0 0 0
## 1764 0 0 0
## 1765 0 0 0
## 1766 0 0 1
## 1767 0 0 0
## 1768 0 0 0
## 1769 0 0 0
## 1770 0 0 1
## 1771 0 0 1
## 1772 0 0 0
## 1773 0 0 0
## 1774 0 0 0
## 1775 0 0 1
## 1776 0 0 0
## 1777 0 0 0
## 1778 0 0 0
## 1779 0 0 1
## 1780 0 0 0
## 1781 0 0 0
## 1782 0 0 0
## 1783 0 0 0
## 1784 0 0 0
## 1785 0 0 1
## 1786 0 0 1
## 1787 0 0 0
## 1788 0 0 0
## 1789 0 0 0
## 1790 0 0 1
## 1791 0 0 0
## 1792 0 0 0
## 1793 0 0 0
## 1794 0 0 1
## 1795 0 0 0
## 1796 0 0 0
## 1797 0 0 0
## 1798 0 0 0
## 1799 0 0 1
## 1800 0 0 0
## 1801 0 0 0
## 1802 0 0 0
## 1803 0 0 0
## 1804 0 0 0
## 1805 0 0 0
## 1806 0 0 0
## 1807 0 0 0
## 1808 0 0 1
## 1809 0 0 0
## 1810 0 0 1
## 1811 0 0 0
## 1812 0 0 1
## 1813 0 0 0
## 1814 0 0 0
## 1815 0 0 0
## 1816 0 0 0
## 1817 0 0 0
## 1818 0 0 1
## 1819 0 0 0
## 1820 0 0 0
## 1821 0 0 0
## 1822 0 0 0
## 1823 0 0 1
## 1824 0 0 0
## 1825 0 0 1
## 1826 0 0 0
## 1827 0 0 0
## 1828 1 0 0
## 1829 1 0 0
## 1830 0 0 0
## 1831 0 0 0
## 1832 0 0 0
## 1833 0 0 0
## 1834 0 0 0
## 1835 0 0 1
## 1836 0 0 0
## 1837 0 0 0
## 1838 0 0 0
## 1839 0 0 0
## 1840 0 0 0
## 1841 0 0 0
## 1842 0 0 0
## 1843 0 0 0
## 1844 0 0 0
## 1845 0 0 0
## 1846 0 0 0
## 1847 0 0 0
## 1848 0 0 0
## 1849 0 0 0
## 1850 0 0 0
## 1851 0 0 0
## 1852 0 0 0
## 1853 0 0 0
## 1854 0 0 0
## 1855 0 0 0
## 1856 0 0 0
## 1857 0 0 0
## 1858 0 0 0
## 1859 0 0 0
## 1860 0 0 0
## 1861 1 0 0
## 1862 0 0 0
## 1863 0 0 0
## 1864 0 0 0
## 1865 0 0 0
## 1866 0 0 1
## 1867 0 0 0
## 1868 0 0 0
## 1869 0 0 0
## 1870 0 0 0
## 1871 0 0 0
## 1872 0 0 0
## 1873 0 0 0
## 1874 0 0 0
## 1875 0 0 1
## 1876 0 0 0
## 1877 1 0 0
## 1878 0 0 0
## 1879 1 0 0
## 1880 0 0 0
## 1881 0 0 0
## 1882 0 0 0
## 1883 1 0 0
## 1884 0 0 1
## 1885 0 0 0
## 1886 1 0 0
## 1887 0 0 0
## 1888 0 0 0
## 1889 0 0 1
## 1890 0 0 0
## 1891 0 0 0
## 1892 0 0 0
## 1893 0 0 0
## 1894 0 0 0
## 1895 0 0 0
## 1896 0 0 0
## 1897 0 0 0
## 1898 0 0 1
## 1899 0 0 0
## 1900 0 0 0
## 1901 0 0 0
## 1902 0 0 0
## 1903 0 0 0
## 1904 0 0 1
## 1905 0 0 0
## 1906 0 0 1
## 1907 0 0 0
## 1908 0 0 0
## 1909 0 0 0
## 1910 0 0 0
## 1911 0 0 0
## 1912 0 0 1
## 1913 0 0 0
## 1914 0 0 0
## 1915 0 0 0
## 1916 0 0 0
## 1917 0 0 1
## 1918 0 0 0
## 1919 0 0 0
## 1920 0 0 1
## 1921 1 0 0
## 1922 0 0 0
## 1923 1 0 0
## 1924 0 0 0
## 1925 0 0 0
## 1926 0 0 1
## 1927 1 0 0
## 1928 0 0 0
## 1929 0 0 0
## 1930 0 0 1
## 1931 0 0 1
## 1932 0 0 0
## 1933 0 0 0
## 1934 0 0 0
## 1935 0 0 0
## 1936 0 0 0
## 1937 1 0 0
## 1938 0 0 0
## 1939 0 0 0
## 1940 0 0 0
## 1941 0 0 0
## 1942 0 0 0
## 1943 0 0 0
## 1944 0 0 1
## 1945 0 0 0
## 1946 0 0 0
## 1947 0 0 1
## 1948 0 0 0
## 1949 0 0 0
## 1950 0 0 0
## 1951 0 0 0
## 1952 0 0 0
## 1953 0 0 0
## 1954 0 0 0
## 1955 0 0 1
## 1956 0 0 0
## 1957 1 0 0
## 1958 0 0 1
## 1959 0 0 0
## 1960 0 0 0
## 1961 0 0 0
## 1962 0 0 0
## 1963 0 0 1
## 1964 0 0 0
## 1965 0 0 0
## 1966 0 0 0
## 1967 0 0 0
## 1968 0 0 1
## 1969 0 0 0
## 1970 0 0 1
## 1971 0 0 0
## 1972 0 0 0
## 1973 0 0 0
## 1974 0 0 0
## 1975 0 0 0
## 1976 0 0 0
## 1977 0 0 0
## 1978 0 0 0
## 1979 1 0 0
## 1980 0 0 0
## 1981 0 0 0
## 1982 0 0 0
## 1983 0 0 0
## 1984 1 0 0
## 1985 0 0 0
## 1986 0 0 0
## 1987 0 0 0
## 1988 0 0 0
## 1989 0 0 0
## 1990 0 0 0
## 1991 0 0 1
## 1992 0 0 0
## 1993 0 0 0
## 1994 0 0 1
## 1995 0 0 0
## 1996 1 0 0
## 1997 0 0 0
## 1998 0 0 0
## 1999 0 0 0
## 2000 0 0 0
## 2001 0 0 1
## 2002 0 0 1
## 2003 0 0 1
## 2004 0 0 1
## 2005 0 0 0
## 2006 0 0 0
## 2007 0 0 0
## 2008 0 0 0
## 2009 0 0 0
## 2010 0 0 0
## 2011 0 0 0
## 2012 0 0 0
## 2013 0 0 1
## 2014 0 0 0
## 2015 0 0 1
## 2016 0 0 0
## 2017 0 0 0
## 2018 0 0 1
## 2019 0 0 0
## 2020 0 0 0
## 2021 0 0 1
## 2022 0 0 0
## 2023 0 0 0
## 2024 0 0 0
## 2025 0 0 1
## 2026 0 0 0
## 2027 0 0 0
## 2028 0 0 0
## 2029 0 0 1
## 2030 0 0 0
## 2031 0 0 0
## 2032 0 0 0
## 2033 0 0 0
## 2034 0 0 0
## 2035 0 0 1
## 2036 0 0 1
## 2037 0 0 0
## 2038 0 0 0
## 2039 0 0 0
## 2040 0 0 1
## 2041 0 0 0
## 2042 0 0 0
## 2043 0 0 0
## 2044 0 0 0
## 2045 0 0 1
## 2046 0 0 0
## 2047 0 0 0
## 2048 0 0 0
## 2049 0 0 0
## 2050 0 0 0
## 2051 0 0 0
## 2052 0 0 0
## 2053 0 0 0
## 2054 0 0 0
## 2055 0 0 0
## 2056 0 0 0
## 2057 0 0 0
## 2058 0 0 1
## 2059 0 0 0
## 2060 0 0 0
## 2061 0 0 0
## 2062 0 0 1
## 2063 0 0 0
## 2064 0 0 1
## 2065 1 0 0
## 2066 1 0 0
## 2067 0 0 1
## 2068 0 0 0
## 2069 0 0 0
## 2070 0 0 0
## 2071 0 0 0
## 2072 0 0 0
## 2073 0 0 0
## 2074 1 0 0
## 2075 0 0 0
## 2076 0 0 0
## 2077 0 0 0
## 2078 0 0 0
## 2079 0 0 0
## 2080 0 0 1
## 2081 0 0 0
## 2082 0 0 0
## 2083 0 0 0
## 2084 0 0 0
## 2085 0 0 0
## 2086 0 0 0
## 2087 0 0 0
## 2088 1 0 0
## 2089 0 0 0
## 2090 0 0 0
## 2091 0 0 0
## 2092 0 0 0
## 2093 0 0 0
## 2094 0 0 0
## 2095 0 0 0
## 2096 0 0 0
## 2097 0 0 1
## 2098 0 0 0
## 2099 0 0 1
## 2100 0 0 0
## 2101 0 0 0
## 2102 0 0 0
## 2103 0 0 0
## 2104 0 0 0
## 2105 0 0 0
## 2106 0 0 0
## 2107 0 0 0
## 2108 0 0 1
## 2109 1 0 0
## 2110 0 0 0
## 2111 0 0 0
## 2112 1 0 0
## 2113 0 0 0
## 2114 0 0 0
## 2115 0 0 0
## 2116 0 0 0
## 2117 0 0 0
## 2118 0 0 0
## 2119 0 0 0
## 2120 0 0 0
## 2121 0 0 1
## 2122 0 0 0
## 2123 0 0 0
## 2124 0 0 0
## 2125 1 0 0
## 2126 1 0 0
## 2127 0 0 0
## 2128 0 0 0
## 2129 0 0 0
## 2130 0 0 0
## 2131 0 0 0
## 2132 0 0 0
## 2133 0 0 0
## 2134 0 0 0
## 2135 0 0 1
## 2136 0 0 1
## 2137 0 0 0
## 2138 0 0 1
## 2139 0 0 0
## 2140 0 0 0
## 2141 0 0 0
## 2142 0 0 0
## 2143 0 0 0
## 2144 0 0 0
## 2145 0 0 0
## 2146 0 0 0
## 2147 0 0 0
## 2148 0 0 0
## 2149 0 0 0
## 2150 0 0 0
## 2151 0 0 0
## 2152 0 0 0
## 2153 0 0 0
## 2154 0 0 1
## 2155 0 0 0
## 2156 0 0 0
## 2157 0 0 0
## 2158 1 0 0
## 2159 0 0 0
## 2160 0 0 0
## 2161 0 0 0
## 2162 0 0 0
## 2163 0 0 1
## 2164 0 0 0
## 2165 0 0 0
## 2166 0 0 0
## 2167 0 0 0
## 2168 0 0 0
## 2169 0 0 0
## 2170 0 0 0
## 2171 0 0 1
## 2172 0 0 0
## 2173 0 0 0
## 2174 0 0 0
## 2175 0 0 0
## 2176 0 0 1
## 2177 0 0 1
## 2178 0 0 0
## 2179 0 0 0
## 2180 0 0 0
## 2181 0 0 1
## 2182 0 0 1
## 2183 0 0 0
## 2184 0 0 1
## 2185 0 0 0
## 2186 0 0 0
## 2187 0 0 0
## 2188 0 0 0
## 2189 0 0 0
## 2190 0 0 1
## 2191 0 0 0
## 2192 0 0 0
## 2193 0 0 0
## 2194 0 0 0
## 2195 0 0 0
## 2196 0 0 0
## 2197 0 0 1
## 2198 0 0 0
## 2199 0 0 0
## 2200 0 0 0
## 2201 0 0 0
## 2202 0 0 1
## 2203 0 0 0
## 2204 0 0 1
## 2205 0 0 0
## 2206 0 0 0
## 2207 0 0 1
## 2208 0 0 0
## 2209 0 0 0
## 2210 0 0 0
## 2211 0 0 0
## 2212 0 0 0
## 2213 0 0 0
## 2214 0 0 0
## 2215 0 0 1
## 2216 0 0 0
## 2217 0 0 0
## 2218 0 0 0
## 2219 0 0 0
## 2220 0 0 0
## 2221 0 0 0
## 2222 0 0 0
## 2223 0 0 0
## 2224 0 0 0
## 2225 0 0 0
## 2226 0 0 0
## 2227 0 0 0
## 2228 0 0 0
## 2229 0 0 0
## 2230 0 0 0
## 2231 0 0 0
## 2232 0 0 1
## 2233 0 0 0
## 2234 0 0 0
## 2235 0 0 0
## 2236 0 0 0
## 2237 0 0 0
## 2238 0 0 1
## 2239 0 0 0
## 2240 0 0 1
## 2241 0 0 0
## 2242 0 0 0
## 2243 0 0 0
## 2244 0 0 1
## 2245 0 0 0
## 2246 0 0 1
## 2247 0 0 0
## 2248 0 0 0
## 2249 0 0 0
## 2250 0 0 0
## 2251 0 0 0
## 2252 0 0 0
## 2253 0 0 0
## 2254 0 0 0
## 2255 0 0 0
## 2256 0 0 0
## 2257 0 0 0
## 2258 0 0 0
## 2259 0 0 1
## 2260 0 0 1
## 2261 0 0 1
## 2262 0 0 1
## 2263 0 0 0
## 2264 0 0 1
## 2265 0 0 0
## 2266 0 0 0
## 2267 0 0 0
## 2268 0 0 0
## 2269 0 0 0
## 2270 0 0 0
## 2271 0 0 0
## 2272 0 0 1
## 2273 0 0 0
## 2274 0 0 0
## 2275 0 0 0
## 2276 0 0 1
## 2277 0 0 0
## 2278 0 0 0
## 2279 0 0 0
## 2280 0 0 0
## 2281 0 0 0
## 2282 0 0 1
## 2283 0 0 0
## 2284 0 0 0
## 2285 0 0 1
## 2286 0 0 0
## 2287 0 0 0
## 2288 0 0 1
## 2289 0 0 0
## 2290 0 0 1
## 2291 0 0 1
## 2292 0 0 0
## 2293 0 0 0
## 2294 0 0 0
## 2295 0 0 0
## 2296 0 0 0
## 2297 0 0 0
## 2298 0 0 1
## 2299 0 0 0
## 2300 0 0 1
## 2301 0 0 0
## 2302 0 0 0
## 2303 0 0 1
## 2304 0 0 0
## 2305 0 0 1
## 2306 0 0 0
## 2307 0 0 1
## 2308 0 0 1
## 2309 0 0 0
## 2310 0 0 1
## 2311 0 0 1
## 2312 0 0 0
## 2313 1 0 0
## 2314 0 0 0
## 2315 0 0 0
## 2316 0 0 1
## 2317 0 0 0
## 2318 0 0 1
## 2319 0 0 0
## 2320 0 0 1
## 2321 0 0 0
## 2322 0 0 1
## 2323 0 0 1
## 2324 0 0 0
## 2325 0 0 0
## 2326 0 0 0
## 2327 0 0 0
## 2328 0 0 0
## 2329 0 0 1
## 2330 0 0 0
## 2331 0 0 0
## 2332 1 0 0
## 2333 0 0 0
## 2334 0 0 0
## 2335 0 0 0
## 2336 0 0 1
## 2337 0 0 0
## 2338 0 0 0
## 2339 0 0 0
## 2340 0 0 0
## 2341 0 0 1
## 2342 0 0 0
## 2343 0 0 0
## 2344 0 0 1
## 2345 0 0 0
## 2346 0 0 1
## 2347 0 0 0
## 2348 0 0 0
## 2349 0 0 0
## 2350 0 0 0
## 2351 0 0 0
## 2352 0 0 1
## 2353 0 0 1
## 2354 0 0 0
## 2355 0 0 0
## 2356 0 0 0
## 2357 0 0 0
## 2358 0 0 0
## 2359 0 0 0
## 2360 0 0 0
## 2361 0 0 0
## 2362 0 0 0
## 2363 0 0 0
## 2364 0 0 0
## 2365 0 0 0
## 2366 0 0 1
## 2367 0 0 0
## 2368 0 0 0
## 2369 0 0 1
## 2370 0 0 0
## 2371 0 0 0
## 2372 0 0 1
## 2373 0 0 0
## 2374 0 0 0
## 2375 0 0 0
## 2376 0 0 0
## 2377 0 0 0
## 2378 0 0 0
## 2379 0 0 0
## 2380 0 0 1
## 2381 0 0 1
## 2382 0 0 0
## 2383 0 0 0
## 2384 0 0 0
## 2385 0 0 0
## 2386 0 0 0
## 2387 0 0 0
## 2388 0 0 0
## 2389 0 0 0
## 2390 0 0 1
## 2391 0 0 0
## 2392 0 0 0
## 2393 0 0 0
## 2394 0 0 0
## 2395 0 0 0
## 2396 0 0 0
## 2397 0 0 0
## 2398 0 0 0
## 2399 0 0 1
## 2400 0 0 0
## 2401 0 0 0
## 2402 1 0 0
## 2403 0 0 0
## 2404 0 0 0
## 2405 0 0 0
## 2406 0 0 0
## 2407 0 0 0
## 2408 0 0 1
## 2409 0 0 0
## 2410 0 0 1
## 2411 0 0 0
## 2412 0 0 0
## 2413 0 0 0
## 2414 0 0 0
## 2415 0 0 1
## 2416 0 0 0
## 2417 0 0 0
## 2418 0 0 0
## 2419 0 0 1
## 2420 0 0 0
## 2421 0 0 0
## 2422 0 0 0
## 2423 0 0 1
## 2424 0 0 0
## 2425 0 0 1
## 2426 0 0 0
## 2427 0 0 1
## 2428 0 0 0
## 2429 0 0 0
## 2430 0 0 0
## 2431 1 0 0
## 2432 0 0 0
## 2433 0 0 0
## 2434 0 0 1
## 2435 0 0 0
## 2436 0 0 0
## 2437 0 0 0
## 2438 0 0 1
## 2439 0 0 0
## 2440 1 0 0
## 2441 0 0 1
## 2442 0 0 0
## 2443 0 0 1
## 2444 0 0 0
## 2445 0 0 0
## 2446 0 0 1
## 2447 0 0 0
## 2448 0 0 0
## 2449 0 0 1
## 2450 0 0 0
## 2451 0 0 0
## 2452 0 0 0
## 2453 0 0 0
## 2454 0 0 1
## 2455 0 0 0
## 2456 0 0 0
## 2457 0 0 1
## 2458 1 0 0
## 2459 0 0 0
## 2460 0 0 1
## 2461 0 0 0
## 2462 0 0 0
## 2463 0 0 0
## 2464 0 0 0
## 2465 0 0 0
## 2466 0 0 0
## 2467 0 0 0
## 2468 0 0 0
## 2469 0 0 0
## 2470 0 0 0
## 2471 0 0 0
## 2472 0 0 0
## 2473 0 0 1
## 2474 0 0 0
## 2475 0 0 0
## 2476 0 0 1
## 2477 0 0 0
## 2478 0 0 0
## 2479 0 0 0
## 2480 0 0 0
## 2481 0 0 0
## 2482 0 0 0
## 2483 0 0 0
## 2484 0 0 1
## 2485 0 0 0
## 2486 0 0 0
## 2487 0 0 0
## 2488 0 0 0
## 2489 0 0 0
## 2490 0 0 0
## 2491 0 0 1
## 2492 0 0 0
## 2493 0 0 0
## 2494 0 0 0
## 2495 0 0 0
## 2496 0 0 0
## 2497 0 0 0
## 2498 0 0 0
## 2499 0 0 0
## 2500 0 0 0
## 2501 0 0 0
## 2502 0 0 0
## 2503 0 0 1
## 2504 0 0 0
## 2505 0 0 0
## 2506 0 0 0
## 2507 0 0 0
## 2508 0 0 1
## 2509 0 0 0
## 2510 0 0 0
## 2511 0 0 0
## 2512 0 0 0
## 2513 0 0 0
## 2514 0 0 1
## 2515 0 0 0
## 2516 0 0 0
## 2517 0 0 0
## 2518 0 0 0
## 2519 0 0 0
## 2520 0 0 0
## 2521 0 0 0
## 2522 0 0 0
## 2523 0 0 1
## 2524 0 0 0
## 2525 0 0 0
## 2526 0 0 0
## 2527 0 0 0
## 2528 0 0 0
## 2529 0 0 0
## 2530 0 0 0
## 2531 0 0 0
## 2532 0 0 0
## 2533 0 0 0
## 2534 0 0 0
## 2535 0 0 1
## 2536 0 0 0
## 2537 0 0 1
## 2538 0 0 0
## 2539 1 0 0
## 2540 0 0 0
## 2541 0 0 0
## 2542 0 0 0
## 2543 0 0 0
## 2544 0 0 0
## 2545 0 0 0
## 2546 0 0 1
## 2547 0 0 0
## 2548 0 0 0
## 2549 0 0 1
## 2550 0 0 0
## 2551 0 0 0
## 2552 1 0 0
## 2553 0 0 0
## 2554 0 0 0
## 2555 0 0 0
## 2556 0 0 0
## 2557 0 0 0
## 2558 0 0 0
## 2559 0 0 1
## 2560 0 0 0
## 2561 0 0 0
## 2562 0 0 0
## 2563 0 0 0
## 2564 0 0 0
## 2565 0 0 0
## 2566 0 0 1
## 2567 0 0 0
## 2568 0 0 1
## 2569 0 0 0
## 2570 0 0 1
## 2571 0 0 0
## 2572 0 0 0
## 2573 0 0 0
## 2574 0 0 0
## 2575 0 0 0
## 2576 0 0 0
## 2577 0 0 0
## 2578 0 0 1
## 2579 0 0 0
## 2580 0 0 0
## 2581 0 0 0
## 2582 0 0 1
## 2583 0 0 0
## 2584 0 0 0
## 2585 0 0 0
## 2586 0 0 1
## 2587 0 0 0
## 2588 0 0 0
## 2589 0 0 1
## 2590 0 0 0
## 2591 0 0 0
## 2592 0 0 0
## 2593 1 0 0
## 2594 0 0 0
## 2595 0 0 0
## 2596 0 0 0
## 2597 0 0 1
## 2598 0 0 1
## 2599 0 0 1
## 2600 0 0 1
## 2601 0 0 1
## 2602 0 0 0
## 2603 0 0 0
## 2604 0 0 0
## 2605 0 0 1
## 2606 0 0 0
## 2607 0 0 1
## 2608 0 0 0
## 2609 0 0 1
## 2610 0 0 0
## 2611 0 0 0
## 2612 0 0 1
## 2613 0 0 0
## 2614 0 0 0
## 2615 0 0 0
## 2616 0 0 0
## 2617 0 0 0
## 2618 0 0 0
## 2619 0 0 1
## 2620 0 0 0
## 2621 0 0 0
## 2622 0 0 0
## 2623 0 0 0
## 2624 0 0 0
## 2625 0 0 0
## 2626 0 0 1
## 2627 0 0 1
## 2628 0 0 0
## 2629 0 0 0
## 2630 0 0 0
## 2631 0 0 1
## 2632 0 0 1
## 2633 0 0 1
## 2634 0 0 0
## 2635 0 0 0
## 2636 0 0 0
## 2637 0 0 0
## 2638 0 0 0
## 2639 0 0 1
## 2640 0 0 0
## 2641 0 0 0
## 2642 0 0 1
## 2643 0 0 1
## 2644 0 0 0
## 2645 0 0 0
## 2646 0 0 1
## 2647 0 0 0
## 2648 0 0 0
## 2649 0 0 0
## 2650 0 0 0
## 2651 0 0 0
## 2652 0 0 0
## 2653 0 0 0
## 2654 0 0 0
## 2655 0 0 1
## 2656 0 0 1
## 2657 0 0 0
## 2658 0 0 0
## 2659 1 0 0
## 2660 0 0 0
## 2661 1 0 0
## 2662 0 0 0
## 2663 0 0 1
## 2664 0 0 1
## 2665 0 0 0
## 2666 0 0 0
## 2667 1 0 0
## 2668 0 0 0
## 2669 0 0 0
## 2670 0 0 1
## 2671 0 0 0
## 2672 0 0 0
## 2673 0 0 0
## 2674 0 0 0
## 2675 0 0 1
## 2676 0 0 0
## 2677 0 0 0
## 2678 0 0 0
## 2679 0 0 0
## 2680 0 0 0
## 2681 0 0 1
## 2682 0 0 0
## 2683 0 0 0
## 2684 0 0 1
## 2685 0 0 0
## 2686 0 0 0
## 2687 1 0 0
## 2688 0 0 0
## 2689 0 0 0
## 2690 0 0 0
## 2691 0 0 0
## 2692 0 0 1
## 2693 0 0 0
## 2694 0 0 1
## 2695 0 0 0
## 2696 0 0 0
## 2697 0 0 0
## 2698 0 0 0
## 2699 0 0 1
## 2700 0 0 1
## 2701 0 0 0
## 2702 0 0 0
## 2703 0 0 1
## 2704 0 0 0
## 2705 0 0 1
## 2706 0 0 0
## 2707 0 0 1
## 2708 0 0 0
## 2709 0 0 1
## 2710 0 0 0
## 2711 0 0 0
## 2712 0 0 0
## 2713 0 0 0
## 2714 0 0 0
## 2715 0 0 0
## 2716 0 0 1
## 2717 0 0 0
## 2718 0 0 0
## 2719 0 0 0
## 2720 0 0 1
## 2721 0 0 0
## 2722 0 0 0
## 2723 0 0 0
## 2724 0 0 0
## 2725 0 0 0
## 2726 0 0 0
## 2727 0 0 0
## 2728 0 0 0
## 2729 0 0 0
## 2730 0 0 0
## 2731 0 0 0
## 2732 1 0 0
## 2733 0 0 0
## 2734 0 0 0
## 2735 0 0 0
## 2736 0 0 0
## 2737 1 0 0
## 2738 0 0 0
## 2739 0 0 0
## 2740 0 0 0
## 2741 0 0 1
## 2742 0 0 0
## 2743 0 0 0
## 2744 0 0 1
## 2745 0 0 0
## 2746 0 0 0
## 2747 0 0 0
## 2748 0 0 0
## 2749 0 0 0
## 2750 0 0 0
## 2751 0 0 1
## 2752 0 0 0
## 2753 0 0 1
## 2754 0 0 0
## 2755 0 0 1
## 2756 0 0 1
## 2757 0 0 0
## 2758 0 0 0
## 2759 0 0 0
## 2760 0 0 0
## 2761 0 0 0
## 2762 0 0 0
## 2763 0 0 0
## 2764 0 0 1
## 2765 0 0 0
## 2766 0 0 0
## 2767 0 0 1
## 2768 0 0 0
## 2769 0 0 1
## 2770 0 0 0
## 2771 0 0 0
## 2772 1 0 0
## 2773 0 0 0
## 2774 0 0 0
## 2775 0 0 0
## 2776 0 0 1
## 2777 0 0 0
## 2778 0 0 0
## 2779 0 0 0
## 2780 0 0 0
## 2781 0 0 1
## 2782 0 0 0
## 2783 0 0 1
## 2784 0 0 0
## 2785 0 0 0
## 2786 0 0 0
## 2787 0 0 0
## 2788 0 0 0
## 2789 0 0 0
## 2790 0 0 0
## 2791 0 0 0
## 2792 1 0 0
## 2793 0 0 1
## 2794 0 0 1
## 2795 0 0 1
## 2796 0 0 1
## 2797 0 0 1
## 2798 0 0 1
## 2799 0 0 0
## 2800 0 0 0
## 2801 0 0 0
## 2802 0 0 0
## 2803 0 0 1
## 2804 0 0 0
## 2805 0 0 1
## 2806 0 0 1
## 2807 0 0 0
## 2808 0 0 0
## 2809 0 0 0
## 2810 0 0 0
## 2811 0 0 0
## 2812 0 0 1
## 2813 0 0 0
## 2814 0 0 0
## 2815 0 0 0
## 2816 0 0 0
## 2817 0 0 0
## 2818 0 0 0
## 2819 0 0 0
## 2820 0 0 1
## 2821 0 0 0
## 2822 0 0 0
## 2823 0 0 0
## 2824 0 0 0
## 2825 0 0 0
## 2826 0 0 1
## 2827 0 0 0
## 2828 0 0 0
## 2829 0 0 0
## 2830 0 0 0
## 2831 0 0 0
## 2832 0 0 0
## 2833 0 0 0
## 2834 0 0 0
## 2835 0 0 0
## 2836 0 0 0
## 2837 0 0 0
## 2838 0 0 0
## 2839 0 0 0
## 2840 0 0 1
## 2841 0 0 1
## 2842 0 0 0
## 2843 0 0 1
## 2844 0 0 0
## 2845 0 0 1
## 2846 0 0 1
## 2847 0 0 1
## 2848 0 0 0
## 2849 0 0 1
## 2850 0 0 0
## 2851 0 0 1
## 2852 0 0 1
## 2853 0 0 0
## 2854 0 0 0
## 2855 0 0 0
## 2856 0 0 0
## 2857 0 0 0
## 2858 0 0 1
## 2859 0 0 0
## 2860 0 0 0
## 2861 0 0 0
## 2862 0 0 0
## 2863 0 0 0
## 2864 0 0 0
## 2865 0 0 0
## 2866 0 0 0
## 2867 0 0 0
## 2868 0 0 0
## 2869 0 0 1
## 2870 0 0 0
## 2871 0 0 1
## 2872 0 0 1
## 2873 0 0 0
## 2874 0 0 0
## 2875 0 0 0
## 2876 0 0 0
## 2877 0 0 0
## 2878 0 0 0
## 2879 0 0 0
## 2880 0 0 0
## 2881 0 0 1
## 2882 0 0 1
## 2883 0 0 1
## 2884 0 0 0
## 2885 0 0 0
## 2886 1 0 0
## 2887 0 0 0
## 2888 0 0 0
## 2889 0 0 0
## 2890 0 0 0
## 2891 1 0 0
## 2892 0 0 0
## 2893 0 0 1
## 2894 0 0 0
## 2895 0 0 0
## 2896 0 0 0
## 2897 0 0 0
## 2898 0 0 1
## 2899 0 0 0
## 2900 0 0 0
## 2901 1 0 0
## 2902 1 0 0
## 2903 0 0 1
## 2904 0 0 0
## 2905 0 0 1
## 2906 0 0 1
## 2907 0 0 0
## 2908 0 0 1
## 2909 0 0 0
## 2910 0 0 0
## 2911 0 0 0
## 2912 0 0 1
## 2913 0 0 0
## 2914 0 0 0
## 2915 0 0 0
## 2916 0 0 0
## 2917 0 0 0
## 2918 0 0 0
## 2919 0 0 1
## 2920 0 0 0
## 2921 0 0 0
## 2922 0 0 0
## 2923 0 0 0
## 2924 0 0 0
## 2925 0 0 0
## 2926 0 0 0
## 2927 0 0 1
## 2928 0 0 0
## 2929 0 0 0
## 2930 0 0 0
## 2931 0 0 1
## 2932 0 0 0
## 2933 0 0 0
## 2934 0 0 0
## 2935 0 0 0
## 2936 0 0 0
## 2937 0 0 0
## 2938 0 0 0
## 2939 0 0 1
## 2940 0 0 0
## 2941 0 0 0
## 2942 0 0 1
## 2943 0 0 0
## 2944 0 0 0
## 2945 0 0 0
## 2946 0 0 0
## 2947 0 0 1
## 2948 0 0 0
## 2949 0 0 0
## 2950 0 0 0
## 2951 0 0 1
## 2952 0 0 0
## 2953 0 0 1
## 2954 0 0 0
## 2955 0 0 0
## 2956 0 0 0
## 2957 0 0 1
## 2958 0 0 0
## 2959 0 0 0
## 2960 0 0 0
## 2961 0 0 0
## 2962 0 0 0
## 2963 0 0 0
## 2964 0 0 0
## 2965 0 0 0
## 2966 0 0 0
## 2967 0 0 1
## 2968 0 0 1
## 2969 0 0 0
## 2970 0 0 0
## 2971 0 0 0
## 2972 0 0 0
## 2973 1 0 0
## 2974 0 0 1
## 2975 0 0 0
## 2976 0 0 0
## 2977 0 0 0
## 2978 0 0 0
## 2979 0 0 0
## 2980 0 0 0
## 2981 0 0 1
## 2982 0 0 1
## 2983 0 0 0
## 2984 0 0 1
## 2985 0 0 0
## 2986 0 0 0
## 2987 0 0 1
## 2988 0 0 0
## 2989 0 0 0
## 2990 0 0 0
## 2991 0 0 0
## 2992 0 0 1
## 2993 0 0 0
## 2994 0 0 0
## 2995 0 0 0
## 2996 0 0 0
## 2997 0 0 0
## 2998 0 0 0
## 2999 0 0 0
## 3000 0 0 0
## 3001 0 0 0
## 3002 0 0 0
## 3003 0 0 0
## 3004 0 0 1
## 3005 0 0 0
## 3006 0 0 0
## 3007 0 0 0
## 3008 0 0 0
## 3009 0 0 0
## 3010 0 0 0
## 3011 0 0 0
## 3012 0 0 0
## 3013 0 0 1
## 3014 0 0 0
## 3015 0 0 0
## 3016 0 0 0
## 3017 0 0 0
## 3018 0 0 0
## 3019 0 0 0
## 3020 0 0 0
## 3021 0 0 0
## 3022 0 0 0
## 3023 0 0 0
## 3024 0 0 0
## 3025 0 0 0
## 3026 0 0 0
## 3027 0 0 0
## 3028 0 0 0
## 3029 0 0 0
## 3030 0 0 0
## 3031 0 0 0
## 3032 0 0 0
## 3033 0 0 0
## 3034 0 0 1
## 3035 0 0 0
## 3036 0 0 0
## 3037 0 0 1
## 3038 0 0 0
## 3039 0 0 0
## 3040 0 0 0
## 3041 0 0 0
## 3042 0 0 1
## 3043 0 0 0
## 3044 0 0 0
## 3045 0 0 0
## 3046 0 0 0
## 3047 0 0 0
## 3048 0 0 0
## 3049 0 0 1
## 3050 0 0 1
## 3051 0 0 1
## 3052 0 0 0
## 3053 0 0 1
## 3054 0 0 0
## 3055 0 0 0
## 3056 0 0 0
## 3057 0 0 1
## 3058 0 0 1
## 3059 0 0 1
## 3060 0 0 0
## 3061 0 0 1
## 3062 0 0 0
## 3063 0 0 0
## 3064 0 0 1
## 3065 0 0 0
## 3066 0 0 0
## 3067 0 0 1
## 3068 0 0 1
## 3069 0 0 0
## 3070 0 0 1
## 3071 0 0 0
## 3072 0 0 0
## 3073 0 0 0
## 3074 0 0 0
## 3075 0 0 0
## 3076 0 0 0
## 3077 1 0 0
## 3078 0 0 1
## 3079 0 0 0
## 3080 0 0 1
## 3081 0 0 0
## 3082 0 0 1
## 3083 0 0 0
## 3084 0 0 0
## 3085 0 0 0
## 3086 0 0 0
## 3087 0 0 1
## 3088 0 0 1
## 3089 0 0 0
## 3090 0 0 0
## 3091 1 0 0
## 3092 0 0 0
## 3093 0 0 0
## 3094 0 0 0
## 3095 0 0 1
## 3096 0 0 0
## 3097 0 0 1
## 3098 0 0 0
## 3099 0 0 0
## 3100 0 0 0
## 3101 0 0 0
## 3102 0 0 0
## 3103 0 0 0
## 3104 0 0 0
## 3105 0 0 0
## 3106 0 0 1
## 3107 0 0 0
## 3108 0 0 0
## 3109 0 0 0
## 3110 0 0 0
## 3111 0 0 1
## 3112 0 0 0
## 3113 0 0 1
## 3114 0 0 1
## 3115 0 0 0
## 3116 0 0 1
## 3117 0 0 0
## 3118 0 0 0
## 3119 0 0 0
## 3120 0 0 0
## 3121 0 0 0
## 3122 0 0 0
## 3123 0 0 1
## 3124 0 0 0
## 3125 0 0 0
## 3126 0 0 1
## 3127 0 0 0
## 3128 0 0 0
## 3129 0 0 0
## 3130 0 0 0
## 3131 0 0 0
## 3132 0 0 0
## 3133 0 0 0
## 3134 0 0 0
## 3135 0 0 0
## 3136 0 0 0
## 3137 0 0 0
## 3138 0 0 0
## 3139 0 0 0
## 3140 0 0 1
## 3141 0 0 0
## 3142 0 0 0
## 3143 0 0 0
## 3144 0 0 0
## 3145 0 0 0
## 3146 0 0 0
## 3147 0 0 0
## 3148 0 0 0
## 3149 0 0 0
## 3150 0 0 1
## 3151 0 0 0
## 3152 0 0 0
## 3153 0 0 0
## 3154 0 0 1
## 3155 0 0 0
## 3156 0 0 0
## 3157 0 0 0
## 3158 0 0 0
## 3159 0 0 0
## 3160 0 0 0
## 3161 0 0 0
## 3162 0 0 0
## 3163 0 0 0
## 3164 0 0 0
## 3165 0 0 1
## 3166 0 0 0
## 3167 0 0 1
## 3168 0 0 0
## 3169 0 0 0
## 3170 0 0 0
## 3171 0 0 1
## 3172 0 0 0
## 3173 0 0 0
## 3174 0 0 1
## 3175 0 0 1
## 3176 0 0 1
## 3177 0 0 0
## 3178 0 0 1
## 3179 0 0 1
## 3180 0 0 1
## 3181 0 0 1
## 3182 0 0 1
## 3183 0 0 1
## 3184 0 0 1
## 3185 0 0 0
## 3186 0 0 1
## 3187 0 0 1
## 3188 0 0 1
## 3189 0 0 0
## 3190 0 0 1
## 3191 0 0 1
## 3192 0 0 1
## 3193 0 0 1
## 3194 0 0 0
## 3195 0 0 1
## 3196 0 0 1
## 3197 0 0 1
## 3198 0 0 1
## 3199 0 0 0
## 3200 0 0 1
## 3201 0 0 0
## 3202 0 0 1
## 3203 0 0 1
## 3204 0 0 1
## 3205 0 0 1
## 3206 0 0 0
## 3207 0 0 0
## 3208 0 0 1
## 3209 0 0 1
## 3210 0 0 1
## 3211 0 0 0
## 3212 0 0 1
## 3213 0 0 0
## 3214 0 0 1
## 3215 0 0 1
## 3216 0 0 1
## 3217 0 0 0
## 3218 0 0 1
## 3219 0 0 1
## 3220 0 0 1
## 3221 0 0 0
## 3222 0 0 1
## 3223 0 0 1
## 3224 0 0 1
## 3225 0 0 1
## 3226 0 0 1
## 3227 0 0 1
## 3228 0 0 0
## 3229 0 0 1
## 3230 0 0 1
## 3231 0 0 1
## 3232 0 0 0
## 3233 0 0 0
## 3234 0 0 1
## 3235 0 0 1
## 3236 0 0 1
## 3237 0 0 0
## 3238 0 0 1
## 3239 0 0 1
## 3240 0 0 0
## 3241 0 0 0
## 3242 0 0 1
## 3243 0 0 1
## 3244 0 0 0
## 3245 0 0 1
## 3246 0 0 0
## 3247 0 0 0
## 3248 0 0 1
## 3249 0 0 1
## 3250 0 0 1
## 3251 0 0 0
## 3252 0 0 0
## 3253 0 0 1
## 3254 0 0 0
## 3255 0 0 0
## 3256 0 0 1
## 3257 0 0 1
## 3258 0 0 0
## 3259 0 0 0
## 3260 0 0 1
## 3261 0 0 1
## 3262 0 0 0
## 3263 0 0 1
## 3264 0 0 1
## 3265 0 0 0
## 3266 0 0 0
## 3267 0 0 1
## 3268 0 0 1
## 3269 0 0 0
## 3270 0 0 1
## 3271 0 0 1
## 3272 0 0 0
## 3273 0 0 0
## 3274 0 0 0
## 3275 0 0 1
## 3276 0 0 1
## 3277 0 0 1
## 3278 0 0 0
## 3279 0 0 1
## 3280 0 0 0
## 3281 0 0 1
## 3282 0 0 0
## 3283 0 0 1
## 3284 0 0 0
## 3285 0 0 0
## 3286 0 0 1
## 3287 0 0 1
## 3288 0 0 0
## 3289 0 0 1
## 3290 0 0 0
## 3291 0 0 1
## 3292 0 0 0
## 3293 0 0 0
## 3294 0 0 1
## 3295 0 0 1
## 3296 0 0 0
## 3297 0 0 0
## 3298 0 0 0
## 3299 0 0 1
## 3300 0 0 1
## 3301 0 0 0
## 3302 0 0 0
## 3303 0 0 0
## 3304 0 0 1
## 3305 0 0 1
## 3306 0 0 0
## 3307 0 0 0
## 3308 0 0 0
## 3309 0 0 0
## 3310 0 0 0
## 3311 0 0 1
## 3312 0 0 1
## 3313 0 0 0
## 3314 0 0 1
## 3315 0 0 1
## 3316 0 0 1
## 3317 0 0 0
## 3318 0 0 0
## 3319 0 0 1
## 3320 0 0 1
## 3321 0 0 0
## 3322 0 0 1
## 3323 0 0 0
## 3324 0 0 0
## 3325 0 0 0
## 3326 0 0 1
## 3327 0 0 1
## 3328 0 0 0
## 3329 0 0 0
## 3330 0 0 1
## 3331 0 0 1
## 3332 0 0 1
## 3333 0 0 1
## 3334 0 0 1
## 3335 0 0 1
## 3336 0 0 1
## 3337 0 0 0
## 3338 0 0 0
## 3339 0 0 1
## 3340 0 0 0
## 3341 0 0 1
## 3342 0 0 1
## 3343 0 0 1
## 3344 0 0 0
## 3345 0 0 0
## 3346 0 0 1
## 3347 0 0 1
## 3348 0 0 0
## 3349 0 0 0
## 3350 0 0 0
## 3351 0 0 1
## 3352 0 0 0
## 3353 0 0 1
## 3354 0 0 1
## 3355 0 0 1
## 3356 0 0 1
## 3357 0 0 1
## 3358 0 0 1
## 3359 0 0 1
## 3360 0 0 1
## 3361 0 0 0
## 3362 0 0 0
## 3363 0 0 1
## 3364 0 0 1
## 3365 0 0 1
## 3366 0 0 0
## 3367 0 0 1
## 3368 0 0 1
## 3369 0 0 1
## 3370 0 0 0
## 3371 0 0 1
## 3372 0 0 0
## 3373 0 0 0
## 3374 0 0 1
## 3375 0 0 0
## 3376 0 0 1
## 3377 0 0 1
## 3378 0 0 1
## 3379 0 0 0
## 3380 0 0 0
## 3381 0 0 1
## 3382 0 0 1
## 3383 0 0 0
## 3384 0 0 1
## 3385 0 0 1
## 3386 0 0 0
## 3387 0 0 1
## 3388 0 0 1
## 3389 0 0 1
## 3390 0 0 0
## 3391 0 0 0
## 3392 0 0 0
## 3393 0 0 0
## 3394 0 0 1
## 3395 0 0 1
## 3396 0 0 1
## 3397 0 0 1
## 3398 0 0 1
## 3399 0 0 0
## 3400 0 0 1
## 3401 0 0 0
## 3402 0 0 1
## 3403 0 0 1
## 3404 0 0 1
## 3405 0 0 0
## 3406 0 0 1
## 3407 0 0 1
## 3408 0 0 0
## 3409 0 0 0
## 3410 0 0 1
## 3411 0 0 0
## 3412 0 0 1
## 3413 0 0 1
## 3414 0 0 1
## 3415 0 0 0
## 3416 0 0 1
## 3417 0 0 1
## 3418 0 0 0
## 3419 0 0 1
## 3420 0 0 1
## 3421 0 0 0
## 3422 0 0 0
## 3423 0 0 0
## 3424 0 0 1
## 3425 0 0 0
## 3426 0 0 0
## 3427 0 0 1
## 3428 0 0 1
## 3429 0 0 0
## 3430 0 0 0
## 3431 0 0 0
## 3432 0 0 0
## 3433 0 0 1
## 3434 0 0 1
## 3435 0 0 1
## 3436 0 0 1
## 3437 0 0 1
## 3438 0 0 1
## 3439 0 0 1
## 3440 0 0 0
## 3441 0 0 0
## 3442 0 0 1
## 3443 0 0 0
## 3444 0 0 1
## 3445 0 0 1
## 3446 0 0 0
## 3447 0 0 0
## 3448 0 0 1
## 3449 0 0 0
## 3450 0 0 0
## 3451 0 0 0
## 3452 0 0 0
## 3453 0 0 1
## 3454 0 0 1
## 3455 0 0 1
## 3456 0 0 0
## 3457 0 0 0
## 3458 0 0 1
## 3459 0 0 0
## 3460 0 0 1
## 3461 0 0 0
## 3462 0 0 0
## 3463 0 0 0
## 3464 0 0 0
## 3465 0 0 0
## 3466 0 0 1
## 3467 0 0 1
## 3468 0 0 0
## 3469 0 0 1
## 3470 0 0 0
## 3471 0 0 0
## 3472 0 0 0
## 3473 0 0 0
## 3474 0 0 1
## 3475 0 0 0
## 3476 0 0 1
## 3477 0 0 0
## 3478 0 0 1
## 3479 0 0 1
## 3480 0 0 1
## 3481 0 0 0
## 3482 0 0 0
## 3483 0 0 0
## 3484 0 0 0
## 3485 0 0 1
## 3486 0 0 0
## 3487 0 0 0
## 3488 0 0 0
## 3489 0 0 1
## 3490 0 0 0
## 3491 0 0 0
## 3492 0 0 1
## 3493 0 0 0
## 3494 0 0 0
## 3495 0 0 0
## 3496 0 0 1
## 3497 0 0 1
## 3498 0 0 0
## 3499 0 0 0
## 3500 0 0 1
## 3501 0 0 0
## 3502 0 0 1
## 3503 0 0 1
## 3504 0 0 1
## 3505 0 0 0
## 3506 0 0 1
## 3507 0 0 1
## 3508 0 0 1
## 3509 0 0 1
## 3510 0 0 1
## 3511 0 0 0
## 3512 0 0 1
## 3513 0 0 1
## 3514 0 0 0
## 3515 0 0 0
## 3516 0 0 0
## 3517 0 0 1
## 3518 0 0 1
## 3519 0 0 0
## 3520 0 0 1
## 3521 0 0 0
## 3522 0 0 1
## 3523 0 0 1
## 3524 0 0 1
## 3525 0 0 1
## 3526 0 0 1
## 3527 0 0 0
## 3528 0 0 1
## 3529 0 0 0
## 3530 0 0 1
## 3531 0 0 0
## 3532 0 0 1
## 3533 0 0 1
## 3534 0 0 0
## 3535 0 0 1
## 3536 0 0 1
## 3537 0 0 1
## 3538 0 0 1
## 3539 0 0 0
## 3540 0 0 1
## 3541 0 0 1
## 3542 0 0 1
## 3543 0 0 0
## 3544 0 0 1
## 3545 0 0 1
## 3546 0 0 1
## 3547 0 0 0
## 3548 0 0 1
## 3549 0 0 1
## 3550 0 0 1
## 3551 0 0 1
## 3552 0 0 1
## 3553 0 0 1
## 3554 0 0 1
## 3555 0 0 0
## 3556 0 0 0
## 3557 0 0 0
## 3558 0 0 1
## 3559 0 0 0
## 3560 0 0 0
## 3561 0 0 1
## 3562 0 0 1
## 3563 0 0 0
## 3564 0 0 0
## 3565 0 0 0
## 3566 0 0 1
## 3567 0 0 0
## 3568 0 0 1
## 3569 0 0 1
## 3570 0 0 1
## 3571 0 0 1
## 3572 0 0 0
## 3573 0 0 1
## 3574 0 0 1
## 3575 0 0 0
## 3576 0 0 1
## 3577 0 0 1
## 3578 0 0 0
## 3579 0 0 1
## 3580 0 0 0
## 3581 0 0 0
## 3582 0 0 0
## 3583 0 0 1
## 3584 0 0 0
## 3585 0 0 0
## 3586 0 0 0
## 3587 0 0 1
## 3588 0 0 1
## 3589 0 0 0
## 3590 0 0 0
## 3591 0 0 0
## 3592 0 0 1
## 3593 0 0 1
## 3594 0 0 1
## 3595 0 0 0
## 3596 0 0 1
## 3597 0 0 1
## 3598 0 0 1
## 3599 0 0 0
## 3600 0 0 0
## 3601 0 0 0
## 3602 0 0 1
## 3603 0 0 1
## 3604 0 0 0
## 3605 0 0 0
## 3606 0 0 1
## 3607 0 0 0
## 3608 0 0 1
## 3609 0 0 1
## 3610 0 0 1
## 3611 0 0 1
## 3612 0 0 1
## 3613 0 0 1
## 3614 0 0 0
## 3615 0 0 0
## 3616 0 0 1
## 3617 0 0 1
## 3618 0 0 1
## 3619 0 0 1
## 3620 0 0 1
## 3621 0 0 0
## 3622 0 0 1
## 3623 0 0 1
## 3624 0 0 1
## 3625 0 0 0
## 3626 0 0 0
## 3627 0 0 0
## 3628 0 0 0
## 3629 0 0 1
## 3630 0 0 0
## 3631 0 0 0
## 3632 0 0 1
## 3633 0 0 0
## 3634 0 0 0
## 3635 0 0 1
## 3636 0 0 0
## 3637 0 0 0
## 3638 0 0 0
## 3639 0 0 0
## 3640 0 0 1
## 3641 0 0 0
## 3642 0 0 0
## 3643 0 0 1
## 3644 0 0 0
## 3645 0 0 1
## 3646 0 0 1
## 3647 0 0 0
## 3648 0 0 0
## 3649 0 0 0
## 3650 0 0 1
## 3651 0 0 0
## 3652 0 0 1
## 3653 0 0 0
## 3654 0 0 1
## 3655 0 0 1
## 3656 0 0 0
## 3657 0 0 1
## 3658 0 0 1
## 3659 0 0 0
## 3660 0 0 0
## 3661 0 0 1
## 3662 0 0 0
## 3663 0 0 1
## 3664 0 0 0
## 3665 0 0 1
## 3666 0 0 1
## 3667 0 0 1
## 3668 0 0 0
## 3669 0 0 0
## 3670 0 0 0
## 3671 0 0 0
## 3672 0 0 0
## 3673 0 0 0
## 3674 0 0 0
## 3675 0 0 0
## 3676 0 0 1
## 3677 0 0 0
## 3678 0 0 1
## 3679 0 0 0
## 3680 0 0 0
## 3681 0 0 1
## 3682 0 0 0
## 3683 0 0 0
## 3684 0 0 0
## 3685 0 0 1
## 3686 0 0 0
## 3687 0 0 0
## 3688 0 0 1
## 3689 0 0 1
## 3690 0 0 0
## 3691 0 0 1
## 3692 0 0 0
## 3693 0 0 0
## 3694 0 0 0
## 3695 0 0 1
## 3696 0 0 1
## 3697 0 0 0
## 3698 0 0 0
## 3699 0 0 1
## 3700 0 0 0
## 3701 0 0 1
## 3702 0 0 1
## 3703 0 0 1
## 3704 0 0 0
## 3705 0 0 1
## 3706 0 0 1
## 3707 0 0 1
## 3708 0 0 1
## 3709 0 0 1
## 3710 0 0 0
## 3711 0 0 0
## 3712 0 0 1
## 3713 0 0 0
## 3714 0 0 1
## 3715 0 0 0
## 3716 0 0 1
## 3717 0 0 0
## 3718 0 0 0
## 3719 0 0 0
## 3720 0 0 0
## 3721 0 0 1
## 3722 0 0 1
## 3723 0 0 1
## 3724 0 0 1
## 3725 0 0 1
## 3726 0 0 1
## 3727 0 0 1
## 3728 0 0 0
## 3729 0 0 0
## 3730 0 0 1
## 3731 0 0 1
## 3732 0 0 1
## 3733 0 0 1
## 3734 0 0 1
## 3735 0 0 0
## 3736 0 0 1
## 3737 0 0 0
## 3738 0 0 0
## 3739 0 0 0
## 3740 0 0 1
## 3741 0 0 1
## 3742 0 0 1
## 3743 0 0 1
## 3744 0 0 0
## 3745 0 0 1
## 3746 0 0 1
## 3747 0 0 0
## 3748 0 0 0
## 3749 0 0 0
## 3750 0 0 1
## 3751 0 0 0
## 3752 0 0 0
## 3753 0 0 0
## 3754 0 0 1
## 3755 0 0 1
## 3756 0 0 0
## 3757 0 0 0
## 3758 0 0 1
## 3759 0 0 0
## 3760 0 0 1
## 3761 0 0 1
## 3762 0 0 1
## 3763 0 0 0
## 3764 0 0 1
## 3765 0 0 1
## 3766 0 0 0
## 3767 0 0 1
## 3768 0 0 0
## 3769 0 0 0
## 3770 0 0 0
## 3771 0 0 0
## 3772 0 0 1
## 3773 0 0 0
## 3774 0 0 1
## 3775 0 0 1
## 3776 0 0 1
## 3777 0 0 0
## 3778 0 0 0
## 3779 0 0 1
## 3780 0 0 0
## 3781 0 0 1
## 3782 0 0 1
## 3783 0 0 1
## 3784 0 0 0
## 3785 0 0 1
## 3786 0 0 1
## 3787 0 0 1
## 3788 0 0 0
## 3789 0 0 1
## 3790 0 0 1
## 3791 0 0 1
## 3792 0 0 1
## 3793 0 0 0
## 3794 0 0 0
## 3795 0 0 1
## 3796 0 0 1
## 3797 0 0 1
## 3798 0 0 1
## 3799 0 0 1
## 3800 0 0 0
## 3801 0 0 1
## 3802 0 0 1
## 3803 0 0 0
## 3804 0 0 1
## 3805 0 0 0
## 3806 0 0 0
## 3807 0 0 0
## 3808 0 0 1
## 3809 0 0 0
## 3810 0 0 1
## 3811 0 0 0
## 3812 0 0 1
## 3813 0 0 1
## 3814 0 0 1
## 3815 0 0 0
## 3816 0 0 1
## 3817 0 0 0
## 3818 0 0 0
## 3819 0 0 0
## 3820 0 0 1
## 3821 0 0 0
## 3822 0 0 0
## 3823 0 0 1
## 3824 0 0 1
## 3825 0 0 1
## 3826 0 0 1
## 3827 0 0 0
## 3828 0 0 1
## 3829 0 0 0
## 3830 0 0 1
## 3831 0 0 0
## 3832 0 0 0
## 3833 0 0 1
## 3834 0 0 1
## 3835 0 0 0
## 3836 0 0 1
## 3837 0 0 1
## 3838 0 0 0
## 3839 0 0 0
## 3840 0 0 0
## 3841 0 0 1
## 3842 0 0 1
## 3843 0 0 0
## 3844 0 0 1
## 3845 0 0 0
## 3846 0 0 1
## 3847 0 0 0
## 3848 0 0 0
## 3849 0 0 1
## 3850 0 0 0
## 3851 0 0 1
## 3852 0 0 1
## 3853 0 0 0
## 3854 0 0 1
## 3855 0 0 1
## 3856 0 0 1
## 3857 0 0 1
## 3858 0 0 0
## 3859 0 0 0
## 3860 0 0 0
## 3861 0 0 1
## 3862 0 0 1
## 3863 0 0 0
## 3864 0 0 1
## 3865 0 0 0
## 3866 0 0 1
## 3867 0 0 1
## 3868 0 0 0
## 3869 0 0 1
## 3870 0 0 1
## 3871 0 0 1
## 3872 0 0 1
## 3873 0 0 0
## 3874 0 0 1
## 3875 0 0 0
## 3876 0 0 1
## 3877 0 0 0
## 3878 0 0 0
## 3879 0 0 0
## 3880 0 0 0
## 3881 0 0 1
## 3882 0 0 1
## 3883 0 0 0
## 3884 0 0 1
## 3885 0 0 1
## 3886 0 0 0
## 3887 0 0 0
## 3888 0 0 0
## 3889 0 0 1
## 3890 0 0 0
## 3891 0 0 1
## 3892 0 0 0
## 3893 0 0 0
## 3894 0 0 0
## 3895 0 0 1
## 3896 0 0 0
## 3897 0 0 1
## 3898 0 0 1
## 3899 0 0 0
## 3900 0 0 1
## 3901 0 0 1
## 3902 0 0 1
## 3903 0 0 1
## 3904 0 0 1
## 3905 0 0 1
## 3906 0 0 0
## 3907 0 0 0
## 3908 0 0 1
## 3909 0 0 1
## 3910 0 0 0
## 3911 0 0 0
## 3912 0 0 1
## 3913 0 0 0
## 3914 0 0 0
## 3915 0 0 0
## 3916 0 0 1
## 3917 0 0 0
## 3918 0 0 0
## 3919 0 0 0
## 3920 0 0 0
## 3921 0 0 0
## 3922 0 0 0
## 3923 0 0 1
## 3924 0 0 0
## 3925 0 0 1
## 3926 0 0 0
## 3927 0 0 0
## 3928 0 0 0
## 3929 0 0 1
## 3930 0 0 1
## 3931 0 0 1
## 3932 0 0 0
## 3933 0 0 0
## 3934 0 0 1
## 3935 0 0 0
## 3936 0 0 1
## 3937 0 0 0
## 3938 0 0 1
## 3939 0 0 0
## 3940 0 0 1
## 3941 0 0 1
## 3942 0 0 0
## 3943 0 0 0
## 3944 0 0 0
## 3945 0 0 0
## 3946 0 0 1
## 3947 0 0 0
## 3948 0 0 0
## 3949 0 0 0
## 3950 0 0 0
## 3951 0 0 0
## 3952 0 0 1
## 3953 0 0 0
## 3954 0 0 0
## 3955 0 0 0
## 3956 0 0 0
## 3957 0 0 0
## 3958 0 0 0
## 3959 0 0 0
## 3960 0 0 1
## 3961 0 0 0
## 3962 0 0 0
## 3963 0 0 1
## 3964 0 0 1
## 3965 0 0 1
## 3966 0 0 0
## 3967 0 0 0
## 3968 0 0 1
## 3969 0 0 0
## 3970 0 0 0
## 3971 0 0 1
## 3972 0 0 1
## 3973 0 0 1
## 3974 0 0 0
## 3975 0 0 0
## 3976 0 0 0
## 3977 0 0 0
## 3978 0 0 0
## 3979 0 0 1
## 3980 0 0 0
## 3981 0 0 1
## 3982 0 0 1
## 3983 0 0 0
## 3984 0 0 0
## 3985 0 0 0
## 3986 0 0 0
## 3987 0 0 0
## 3988 0 0 1
## 3989 0 0 0
## 3990 0 0 1
## 3991 0 0 1
## 3992 0 0 1
## 3993 0 0 0
## 3994 0 0 0
## 3995 0 0 1
## 3996 0 0 0
## 3997 0 0 1
## 3998 0 0 0
## 3999 0 0 0
## 4000 0 0 0
## 4001 0 0 0
## 4002 0 0 1
## 4003 0 0 1
## 4004 0 0 0
## 4005 0 0 0
## 4006 0 0 1
## 4007 0 0 0
## 4008 0 0 0
## 4009 0 0 0
## 4010 0 0 0
## 4011 0 0 1
## 4012 0 0 0
## 4013 0 0 0
## 4014 0 0 0
## 4015 0 0 0
## 4016 0 0 0
## 4017 0 0 0
## 4018 0 0 0
## 4019 0 0 0
## 4020 0 0 1
## 4021 0 0 1
## 4022 0 0 0
## 4023 0 0 0
## 4024 0 0 0
## 4025 0 0 0
## 4026 0 0 0
## 4027 0 0 1
## 4028 0 0 0
## 4029 0 0 0
## 4030 0 0 0
## 4031 0 0 1
## 4032 0 0 0
## 4033 0 0 1
## 4034 0 0 0
## 4035 0 0 0
## 4036 0 0 0
## 4037 0 0 1
## 4038 0 0 0
## 4039 0 0 0
## 4040 0 0 1
## 4041 0 0 0
## 4042 0 0 0
## 4043 0 0 0
## 4044 0 0 0
## 4045 0 0 0
## 4046 0 0 0
## 4047 0 0 1
## 4048 0 0 0
## 4049 0 0 0
## 4050 0 0 0
## 4051 0 0 0
## 4052 0 0 0
## 4053 0 0 1
## 4054 0 0 0
## 4055 0 0 1
## 4056 0 0 0
## 4057 0 0 0
## 4058 0 0 0
## 4059 0 0 0
## 4060 0 0 0
## 4061 0 0 0
## 4062 0 0 0
## 4063 0 0 0
## 4064 0 0 0
## 4065 0 0 1
## 4066 0 0 0
## 4067 0 0 0
## 4068 0 0 0
## 4069 0 0 0
## 4070 0 0 1
## 4071 0 0 0
## 4072 0 0 1
## 4073 0 0 0
## 4074 0 0 0
## 4075 0 0 1
## 4076 0 0 0
## 4077 0 0 0
## 4078 0 0 0
## 4079 0 0 1
## 4080 0 0 1
## 4081 0 0 1
## 4082 0 0 1
## 4083 0 0 0
## 4084 0 0 0
## 4085 0 0 0
## 4086 0 0 0
## 4087 0 0 0
## 4088 0 0 1
## 4089 0 0 0
## 4090 0 0 0
## 4091 0 0 0
## 4092 0 0 0
## 4093 0 0 0
## 4094 0 0 0
## 4095 0 0 1
## 4096 0 0 0
## 4097 0 0 0
## 4098 0 0 0
## 4099 0 0 0
## 4100 0 0 0
## 4101 0 0 1
## 4102 0 0 0
## 4103 0 0 1
## 4104 0 0 0
## 4105 0 0 0
## 4106 0 0 0
## 4107 0 0 0
## 4108 0 0 0
## 4109 0 0 1
## 4110 0 0 1
## 4111 0 0 1
## 4112 0 0 0
## 4113 0 0 0
## 4114 0 0 0
## 4115 0 0 1
## 4116 0 0 1
## 4117 0 0 1
## 4118 0 0 0
## 4119 0 0 0
## 4120 0 0 0
## 4121 0 0 1
## 4122 0 0 0
## 4123 0 0 0
## 4124 0 0 0
## 4125 0 0 0
## 4126 0 0 0
## 4127 0 0 0
## 4128 0 0 1
## 4129 0 0 0
## 4130 0 0 0
## 4131 0 0 1
## 4132 0 0 0
## 4133 0 0 0
## 4134 0 0 0
## 4135 0 0 0
## 4136 0 0 0
## 4137 0 0 0
## 4138 0 0 0
## 4139 0 0 0
## 4140 0 0 0
## 4141 0 0 0
## 4142 0 0 0
## 4143 0 0 0
## 4144 0 0 1
## 4145 0 0 0
## 4146 0 0 0
## 4147 0 0 0
## 4148 0 0 1
## 4149 0 0 0
## 4150 0 0 0
## 4151 0 0 0
## 4152 0 0 0
## 4153 0 0 0
## 4154 0 0 0
## 4155 0 0 0
## 4156 0 0 1
## 4157 0 0 1
## 4158 0 0 1
## 4159 0 0 1
## 4160 0 0 0
## 4161 0 0 0
## 4162 0 0 1
## 4163 0 0 0
## 4164 0 0 1
## 4165 0 0 1
## 4166 0 0 0
## 4167 0 0 1
## 4168 0 0 0
## 4169 0 0 1
## 4170 0 0 0
## 4171 0 0 0
## 4172 0 0 1
## 4173 0 0 0
## 4174 0 0 0
## 4175 0 0 0
## 4176 0 0 0
## 4177 0 0 1
## 4178 0 0 0
## 4179 0 0 0
## 4180 0 0 0
## 4181 0 0 0
## 4182 0 0 1
## 4183 0 0 0
## 4184 0 0 0
## 4185 0 0 0
## 4186 0 0 0
## 4187 0 0 1
## 4188 0 0 1
## 4189 0 0 1
## 4190 0 0 0
## 4191 0 0 0
## 4192 0 0 0
## 4193 0 0 0
## 4194 0 0 0
## 4195 0 0 0
## 4196 0 0 1
## 4197 0 0 0
## 4198 0 0 0
## 4199 0 0 0
## 4200 0 0 0
## 4201 0 0 1
## 4202 0 0 0
## 4203 0 0 0
## 4204 0 0 0
## 4205 0 0 0
## 4206 0 0 0
## 4207 0 0 0
## 4208 0 0 0
## 4209 0 0 0
## 4210 0 0 0
## 4211 0 0 0
## 4212 0 0 0
## 4213 0 0 0
## 4214 0 0 0
## 4215 0 0 0
## 4216 0 0 1
## 4217 0 0 0
## 4218 0 0 0
## 4219 0 0 0
## 4220 0 0 0
## 4221 0 0 1
## 4222 0 0 1
## 4223 0 0 1
## 4224 0 0 0
## 4225 0 0 0
## 4226 0 0 0
## 4227 0 0 0
## 4228 0 0 0
## 4229 0 0 0
## 4230 0 0 0
## 4231 0 0 0
## 4232 0 0 0
## 4233 0 0 0
## 4234 0 0 0
## 4235 0 0 0
## 4236 0 0 0
## 4237 0 0 0
## 4238 0 0 0
## 4239 0 0 0
## 4240 0 0 0
## 4241 0 0 0
## 4242 0 0 0
## 4243 0 0 0
## 4244 0 0 1
## 4245 0 0 1
## 4246 0 0 1
## 4247 0 0 0
## 4248 0 0 0
## 4249 0 0 0
## 4250 0 0 0
## 4251 0 0 0
## 4252 0 0 0
## 4253 0 0 0
## 4254 0 0 0
## 4255 0 0 0
## 4256 0 0 0
## 4257 0 0 0
## 4258 0 0 0
## 4259 0 0 0
## 4260 0 0 0
## 4261 0 0 0
## 4262 0 0 1
## 4263 0 0 0
## 4264 0 0 0
## 4265 0 0 0
## 4266 0 0 0
## 4267 0 0 0
## 4268 0 0 0
## 4269 0 0 0
## 4270 0 0 0
## 4271 0 0 0
## 4272 0 0 1
## 4273 0 0 0
## 4274 0 0 0
## 4275 0 0 0
## 4276 0 0 0
## 4277 0 0 1
## 4278 0 0 0
## 4279 0 0 0
## 4280 0 0 0
## 4281 0 0 0
## 4282 0 0 1
## 4283 0 0 0
## 4284 0 0 0
## 4285 0 0 1
## 4286 0 0 1
## 4287 0 0 0
## 4288 0 0 0
## 4289 0 0 0
## 4290 0 0 0
## 4291 0 0 1
## 4292 0 0 0
## 4293 0 0 0
## 4294 0 0 0
## 4295 0 0 0
## 4296 0 0 0
## 4297 0 0 0
## 4298 0 0 1
## 4299 0 0 1
## 4300 0 0 1
## 4301 0 0 0
## 4302 0 0 0
## 4303 0 0 1
## 4304 0 0 0
## 4305 0 0 0
## 4306 0 0 0
## 4307 0 0 0
## 4308 0 0 0
## 4309 0 0 0
## 4310 0 0 0
## 4311 0 0 0
## 4312 0 0 0
## 4313 0 0 0
## 4314 0 0 0
## 4315 0 0 1
## 4316 0 0 0
## 4317 0 0 0
## 4318 0 0 0
## 4319 0 0 1
## 4320 0 0 0
## 4321 0 0 0
## 4322 0 0 0
## 4323 0 0 0
## 4324 0 0 0
## 4325 0 0 0
## 4326 0 0 1
## 4327 0 0 0
## 4328 0 0 0
## 4329 0 0 1
## 4330 0 0 1
## 4331 0 0 0
## 4332 0 0 0
## 4333 0 0 0
## 4334 0 0 0
## 4335 0 0 0
## 4336 0 0 0
## 4337 0 0 0
## 4338 0 0 1
## 4339 0 0 0
## 4340 0 0 0
## 4341 0 0 0
## 4342 0 0 0
## 4343 0 0 1
## 4344 0 0 0
## 4345 0 0 0
## 4346 0 0 0
## 4347 0 0 1
## 4348 0 0 1
## 4349 0 0 0
## 4350 0 0 1
## 4351 0 0 0
## 4352 0 0 0
## 4353 0 0 0
## 4354 0 0 0
## 4355 0 0 1
## 4356 0 0 1
## 4357 0 0 0
## 4358 0 0 0
## 4359 0 0 1
## 4360 0 0 1
## 4361 0 0 0
## 4362 0 0 0
## 4363 0 0 1
## 4364 0 0 0
## 4365 0 0 0
## 4366 0 0 0
## 4367 0 0 0
## 4368 0 0 1
## 4369 0 0 0
## 4370 0 0 1
## 4371 0 0 0
## 4372 0 0 1
## 4373 0 0 0
## 4374 0 0 0
## 4375 0 0 0
## 4376 0 0 0
## 4377 0 0 0
## 4378 0 0 1
## 4379 0 0 1
## 4380 0 0 1
## 4381 0 0 1
## 4382 0 0 0
## 4383 0 0 0
## 4384 0 0 1
## 4385 0 0 1
## 4386 0 0 1
## 4387 0 0 0
## 4388 0 0 0
## 4389 0 0 1
## 4390 0 0 0
## 4391 0 0 0
## 4392 0 0 0
## 4393 0 0 0
## 4394 0 0 0
## 4395 0 0 0
## 4396 0 0 0
## 4397 0 0 0
## 4398 0 0 0
## 4399 0 0 1
## 4400 0 0 0
## 4401 0 0 1
## 4402 0 0 0
## 4403 0 0 0
## 4404 0 0 0
## 4405 0 0 1
## 4406 0 0 0
## 4407 0 0 1
## 4408 0 0 1
## 4409 0 0 0
## 4410 0 0 1
## 4411 0 0 1
## 4412 0 0 0
## 4413 0 0 1
## 4414 0 0 0
## 4415 0 0 1
## 4416 0 0 1
## 4417 0 0 0
## 4418 0 0 0
## 4419 0 0 0
## 4420 0 0 1
## 4421 0 0 1
## 4422 0 0 0
## 4423 0 0 1
## 4424 0 0 0
## 4425 0 0 1
## 4426 0 0 0
## 4427 0 0 0
## 4428 0 0 0
## 4429 0 0 0
## 4430 0 0 0
## 4431 0 0 0
## 4432 0 0 0
## 4433 0 0 0
## 4434 0 0 0
## 4435 0 0 0
## 4436 0 0 0
## 4437 0 0 1
## 4438 0 0 1
## 4439 0 0 0
## 4440 0 0 0
## 4441 0 0 0
## 4442 0 0 0
## 4443 0 0 0
## 4444 0 0 0
## 4445 0 0 1
## 4446 0 0 0
## 4447 0 0 1
## 4448 0 0 1
## 4449 0 0 0
## 4450 0 0 0
## 4451 0 0 0
## 4452 0 0 1
## 4453 0 0 1
## 4454 0 0 0
## 4455 0 0 0
## 4456 0 0 0
## 4457 0 0 0
## 4458 0 0 0
## 4459 0 0 0
## 4460 0 0 1
## 4461 0 0 0
## 4462 0 0 1
## 4463 0 0 0
## 4464 0 0 1
## 4465 0 0 0
## 4466 0 0 0
## 4467 0 0 0
## 4468 0 0 1
## 4469 0 0 0
## 4470 0 0 0
## 4471 0 0 0
## 4472 0 0 0
## 4473 0 0 0
## 4474 0 0 0
## 4475 0 0 0
## 4476 0 0 0
## 4477 0 0 0
## 4478 0 0 1
## 4479 0 0 1
## 4480 0 0 1
## 4481 0 0 0
## 4482 0 0 0
## 4483 0 0 0
## 4484 0 0 1
## 4485 0 0 0
## 4486 0 0 0
## 4487 0 0 1
## 4488 0 0 0
## 4489 0 0 0
## 4490 0 0 0
## 4491 0 0 0
## 4492 0 0 1
## 4493 0 0 0
## 4494 0 0 0
## 4495 0 0 0
## 4496 0 0 0
## 4497 0 0 0
## 4498 0 0 1
## 4499 0 0 0
## 4500 0 0 1
## 4501 0 0 0
## 4502 0 0 1
## 4503 0 0 0
## 4504 0 1 0
## 4505 0 0 0
## 4506 0 0 1
## 4507 0 0 1
## 4508 0 0 0
## 4509 0 0 0
## 4510 0 0 0
## 4511 0 0 0
## 4512 0 0 0
## 4513 0 0 0
## 4514 0 0 0
## 4515 0 0 1
## 4516 0 0 1
## 4517 0 0 0
## 4518 0 0 0
## 4519 0 0 0
## 4520 0 0 0
## 4521 0 0 0
## 4522 0 0 0
## 4523 0 0 0
## 4524 0 0 0
## 4525 0 0 0
## 4526 0 0 0
## 4527 0 0 0
## 4528 0 0 0
## 4529 0 0 1
## 4530 0 0 0
## 4531 0 0 1
## 4532 0 0 0
## 4533 0 0 0
## 4534 0 0 0
## 4535 0 0 0
## 4536 0 0 0
## 4537 0 0 0
## 4538 0 0 0
## 4539 0 0 0
## 4540 0 0 1
## 4541 0 0 0
## 4542 0 0 0
## 4543 0 0 0
## 4544 0 0 0
## 4545 0 0 0
## 4546 0 0 0
## 4547 0 0 1
## 4548 0 0 0
## 4549 0 0 1
## 4550 0 0 0
## 4551 0 0 0
## 4552 0 0 0
## 4553 0 0 0
## 4554 0 0 1
## 4555 0 0 0
## 4556 0 0 1
## 4557 0 0 0
## 4558 0 0 0
## 4559 0 0 0
## 4560 0 0 1
## 4561 0 0 0
## 4562 0 0 0
## 4563 0 0 0
## 4564 0 0 0
## 4565 0 0 0
## 4566 0 0 0
## 4567 0 0 1
## 4568 0 0 1
## 4569 0 0 0
## 4570 0 0 1
## 4571 0 0 0
## 4572 0 0 0
## 4573 0 0 1
## 4574 0 0 0
## 4575 0 0 0
## 4576 0 0 0
## 4577 0 0 0
## 4578 0 0 0
## 4579 0 0 1
## 4580 0 0 0
## 4581 0 0 1
## 4582 0 0 0
## 4583 0 0 0
## 4584 0 0 1
## 4585 0 0 0
## 4586 0 0 0
## 4587 0 0 0
## 4588 0 0 1
## 4589 0 0 0
## 4590 0 0 0
## 4591 0 0 0
## 4592 0 0 0
## 4593 0 0 0
## 4594 0 0 1
## 4595 0 0 0
## 4596 0 0 0
## 4597 0 0 0
## 4598 0 0 0
## 4599 0 0 1
## 4600 0 0 0
## 4601 0 0 0
## 4602 0 0 1
## 4603 0 0 0
## 4604 0 0 1
## 4605 0 0 0
## 4606 0 1 0
## 4607 0 0 1
## 4608 0 0 0
## 4609 0 0 0
## 4610 0 0 0
## 4611 0 0 0
## 4612 0 0 1
## 4613 0 0 0
## 4614 0 0 0
## 4615 0 0 0
## 4616 0 0 0
## 4617 0 0 0
## 4618 0 0 1
## 4619 0 0 0
## 4620 0 0 0
## 4621 0 0 0
## 4622 0 0 0
## 4623 0 0 0
## 4624 0 0 0
## 4625 0 0 1
## 4626 0 0 0
## 4627 0 0 1
## 4628 0 0 0
## 4629 0 0 1
## 4630 0 0 1
## 4631 0 0 0
## 4632 0 0 1
## 4633 0 0 0
## 4634 0 0 0
## 4635 0 0 0
## 4636 0 0 1
## 4637 0 0 0
## 4638 0 0 0
## 4639 0 0 0
## 4640 0 0 0
## 4641 0 0 0
## 4642 0 0 0
## 4643 0 0 0
## 4644 0 0 0
## 4645 0 0 0
## 4646 0 0 0
## 4647 0 0 0
## 4648 0 0 0
## 4649 0 0 1
## 4650 0 0 0
## 4651 0 0 0
## 4652 0 0 0
## 4653 0 0 0
## 4654 0 0 0
## 4655 0 0 0
## 4656 0 0 0
## 4657 0 0 0
## 4658 0 0 1
## 4659 0 0 0
## 4660 0 0 0
## 4661 0 0 0
## 4662 0 0 0
## 4663 0 0 0
## 4664 0 0 1
## 4665 0 0 0
## 4666 0 0 0
## 4667 0 0 1
## 4668 0 0 1
## 4669 0 0 0
## 4670 0 0 0
## 4671 0 0 0
## 4672 0 0 1
## 4673 0 0 0
## 4674 0 0 0
## 4675 0 0 0
## 4676 0 0 0
## 4677 0 0 0
## 4678 0 0 1
## 4679 0 0 0
## 4680 0 0 0
## 4681 0 0 0
## 4682 0 0 0
## 4683 0 0 1
## 4684 0 0 1
## 4685 0 0 0
## 4686 0 0 1
## 4687 0 0 0
## 4688 0 0 0
## 4689 0 0 1
## 4690 0 0 0
## 4691 0 0 1
## 4692 0 0 0
## 4693 0 0 1
## 4694 0 0 0
## 4695 0 0 1
## 4696 0 0 0
## 4697 0 0 1
## 4698 0 0 0
## 4699 0 0 0
## 4700 0 0 0
## 4701 0 0 0
## 4702 0 0 1
## 4703 0 0 0
## 4704 0 0 0
## 4705 0 0 0
## 4706 0 0 0
## 4707 0 0 0
## 4708 0 0 0
## 4709 0 0 0
## 4710 0 0 1
## 4711 0 0 0
## 4712 0 0 0
## 4713 0 0 0
## 4714 0 0 0
## 4715 0 0 0
## 4716 0 0 0
## 4717 0 0 0
## 4718 0 0 0
## 4719 0 0 0
## 4720 0 0 0
## 4721 0 0 0
## 4722 0 0 0
## 4723 0 0 0
## 4724 0 0 0
## 4725 0 0 0
## 4726 0 0 0
## 4727 0 0 0
## 4728 0 0 0
## 4729 0 0 0
## 4730 0 0 0
## 4731 0 0 1
## 4732 0 0 0
## 4733 0 0 1
## 4734 0 0 0
## 4735 0 0 0
## 4736 0 0 0
## 4737 0 0 0
## 4738 0 0 1
## 4739 0 0 0
## 4740 0 0 0
## 4741 0 0 0
## 4742 0 0 0
## 4743 0 0 1
## 4744 0 0 0
## 4745 0 0 0
## 4746 0 0 0
## 4747 0 0 1
## 4748 0 0 1
## 4749 0 0 0
## 4750 0 0 0
## 4751 0 0 1
## 4752 0 0 0
## 4753 0 0 0
## 4754 0 0 1
## 4755 0 0 0
## 4756 0 0 0
## 4757 0 0 0
## 4758 0 0 0
## 4759 0 0 0
## 4760 0 0 0
## 4761 0 0 0
## 4762 0 0 1
## 4763 0 0 1
## 4764 0 0 1
## 4765 0 0 1
## 4766 0 0 0
## 4767 0 0 0
## 4768 0 0 0
## 4769 0 0 1
## 4770 0 0 0
## 4771 0 0 0
## 4772 0 0 1
## 4773 0 0 0
## 4774 0 0 0
## 4775 0 0 0
## 4776 0 0 0
## 4777 0 0 0
## 4778 0 0 1
## 4779 0 0 0
## 4780 0 0 1
## 4781 0 0 1
## 4782 1 0 0
## 4783 0 0 0
## 4784 0 0 0
## 4785 0 0 0
## 4786 0 0 1
## 4787 0 0 0
## 4788 0 0 1
## 4789 0 0 1
## 4790 0 0 0
## 4791 0 0 0
## 4792 0 0 1
## 4793 0 0 0
## 4794 0 0 1
## 4795 0 0 1
## 4796 0 0 0
## 4797 0 0 0
## 4798 0 0 0
## 4799 0 0 1
## 4800 0 0 1
## 4801 0 0 0
## 4802 0 0 0
## 4803 0 0 0
## 4804 0 0 0
## 4805 0 0 0
## 4806 0 0 0
## 4807 0 0 1
## 4808 0 0 1
## 4809 0 0 0
## 4810 0 0 1
## 4811 0 0 0
## 4812 0 0 0
## 4813 0 0 0
## 4814 0 0 0
## 4815 0 0 0
## 4816 0 0 0
## 4817 0 0 1
## 4818 0 0 0
## 4819 0 0 0
## 4820 0 0 1
## 4821 0 0 0
## 4822 0 0 0
## 4823 0 0 0
## 4824 0 0 1
## 4825 0 0 0
## 4826 0 0 0
## 4827 0 0 0
## 4828 0 0 1
## 4829 0 0 0
## 4830 0 0 0
## 4831 0 0 0
## 4832 0 0 0
## 4833 0 0 1
## 4834 0 0 0
## 4835 0 0 0
## 4836 0 0 0
## 4837 0 0 1
## 4838 0 0 1
## 4839 0 0 0
## 4840 0 0 0
## 4841 0 0 0
## 4842 0 0 1
## 4843 0 0 0
## 4844 0 0 0
## 4845 1 0 0
## 4846 0 0 0
## 4847 0 0 0
## 4848 0 0 0
## 4849 0 0 0
## 4850 0 0 1
## 4851 0 0 0
## 4852 0 0 0
## 4853 0 0 0
## 4854 0 0 0
## 4855 0 0 0
## 4856 0 0 0
## 4857 0 0 0
## 4858 0 0 0
## 4859 0 0 0
## 4860 0 0 0
## 4861 0 0 0
## 4862 0 0 0
## 4863 0 0 0
## 4864 0 0 1
## 4865 0 0 1
## 4866 0 0 0
## 4867 0 0 0
## 4868 0 0 0
## 4869 0 0 1
## 4870 0 0 0
## 4871 0 0 0
## 4872 0 0 0
## 4873 0 0 0
## 4874 0 0 1
## 4875 0 0 0
## 4876 0 0 0
## 4877 0 0 0
## 4878 0 0 0
## 4879 0 0 0
## 4880 0 0 0
## 4881 0 0 0
## 4882 0 0 0
## 4883 0 0 0
## 4884 0 0 1
## 4885 0 0 0
## 4886 0 0 0
## 4887 0 0 0
## 4888 0 0 1
## 4889 0 0 0
## 4890 0 0 0
## 4891 0 0 1
## 4892 0 0 0
## 4893 0 0 1
## 4894 0 0 0
## 4895 0 0 0
## 4896 0 0 0
## 4897 0 0 0
## 4898 0 0 1
## 4899 0 0 0
## 4900 0 0 0
## 4901 0 0 1
## 4902 0 0 0
## 4903 0 0 1
## 4904 0 0 0
## 4905 0 0 0
## 4906 0 0 0
## 4907 0 0 0
## 4908 0 0 1
## 4909 0 0 0
## 4910 0 0 0
## 4911 0 0 1
## 4912 0 0 0
## 4913 0 0 0
## 4914 0 0 0
## 4915 0 0 0
## 4916 0 0 0
## 4917 0 0 1
## 4918 0 0 1
## 4919 0 0 0
## 4920 0 0 0
## 4921 0 0 0
## 4922 0 0 0
## 4923 0 0 0
## 4924 0 1 0
## 4925 0 0 0
## 4926 0 0 0
## 4927 0 0 0
## 4928 0 0 0
## 4929 0 0 0
## 4930 0 0 0
## 4931 0 0 1
## 4932 0 0 1
## 4933 0 0 0
## 4934 0 0 0
## 4935 0 0 0
## 4936 0 0 0
## 4937 0 0 0
## 4938 0 0 1
## 4939 0 0 0
## 4940 0 0 0
## 4941 0 0 0
## 4942 0 0 1
## 4943 0 0 0
## 4944 0 0 0
## 4945 0 0 0
## 4946 0 0 0
## 4947 0 0 0
## 4948 0 0 0
## 4949 0 0 0
## 4950 0 0 1
## 4951 0 0 0
## 4952 0 0 0
## 4953 0 0 0
## 4954 0 0 0
## 4955 0 0 0
## 4956 0 0 0
## 4957 0 0 0
## 4958 0 0 0
## 4959 0 0 0
## 4960 0 0 1
## 4961 0 0 0
## 4962 0 0 0
## 4963 0 0 0
## 4964 0 0 0
## 4965 0 0 0
## 4966 0 0 0
## 4967 0 0 0
## 4968 0 0 0
## 4969 0 0 1
## 4970 0 0 1
## 4971 0 0 1
## 4972 0 0 0
## 4973 0 0 0
## 4974 0 0 0
## 4975 0 0 1
## 4976 0 0 1
## 4977 0 0 0
## 4978 0 0 1
## 4979 0 0 1
## 4980 0 0 1
## 4981 0 0 0
## 4982 0 0 0
## 4983 0 0 0
## 4984 0 0 0
## 4985 0 0 1
## 4986 0 0 0
## 4987 0 0 0
## 4988 0 0 1
## 4989 0 0 0
## 4990 0 0 0
## 4991 0 0 0
## 4992 0 0 1
## 4993 0 0 1
## 4994 0 0 0
## 4995 0 0 0
## 4996 0 0 0
## 4997 0 0 0
## 4998 0 0 0
## 4999 0 0 1
## 5000 0 0 0
## 5001 0 0 0
## 5002 0 0 0
## 5003 0 0 0
## 5004 0 0 0
## 5005 0 0 1
## 5006 0 0 0
## 5007 0 0 1
## 5008 0 0 1
## 5009 0 0 0
## 5010 0 0 0
## 5011 0 0 0
## 5012 0 0 0
## 5013 0 0 0
## 5014 0 0 0
## 5015 0 0 0
## 5016 0 0 0
## 5017 0 0 0
## 5018 0 0 1
## 5019 0 0 0
## 5020 0 0 0
## 5021 0 0 0
## 5022 0 0 0
## 5023 0 0 0
## 5024 0 0 0
## 5025 0 0 1
## 5026 0 0 1
## 5027 0 0 1
## 5028 0 0 0
## 5029 0 0 0
## 5030 0 0 0
## 5031 0 0 0
## 5032 0 0 0
## 5033 0 0 0
## 5034 0 0 1
## 5035 0 0 0
## 5036 0 0 0
## 5037 0 0 0
## 5038 0 0 0
## 5039 0 0 0
## 5040 0 0 0
## 5041 0 0 0
## 5042 0 0 1
## 5043 0 0 1
## 5044 0 0 0
## 5045 0 0 1
## 5046 0 0 0
## 5047 0 0 1
## 5048 0 0 1
## 5049 0 0 1
## 5050 0 0 0
## 5051 0 0 0
## 5052 0 0 0
## 5053 0 0 1
## 5054 0 0 0
## 5055 0 0 0
## 5056 0 0 0
## 5057 0 0 0
## 5058 0 0 1
## 5059 0 0 1
## 5060 0 0 0
## 5061 0 0 0
## 5062 0 0 0
## 5063 0 0 1
## 5064 0 0 1
## 5065 0 0 0
## 5066 0 0 0
## 5067 0 0 0
## 5068 0 0 0
## 5069 0 0 1
## 5070 0 0 0
## 5071 0 0 0
## 5072 0 0 0
## 5073 0 0 1
## 5074 0 0 0
## 5075 0 0 0
## 5076 0 0 0
## 5077 0 0 0
## 5078 0 0 0
## 5079 0 0 0
## 5080 0 0 1
## 5081 0 0 1
## 5082 0 0 0
## 5083 0 0 0
## 5084 0 0 1
## 5085 0 0 0
## 5086 0 0 1
## 5087 0 0 1
## 5088 0 0 1
## 5089 0 0 0
## 5090 0 0 0
## 5091 0 0 1
## 5092 0 0 0
## 5093 0 0 0
## 5094 0 0 0
## 5095 0 0 0
## 5096 0 0 0
## 5097 0 0 0
## 5098 0 0 0
## 5099 0 0 0
## 5100 0 0 0
## 5101 0 0 0
## 5102 0 0 0
## 5103 0 0 1
## 5104 0 0 0
## 5105 1 0 0
## 5106 0 0 0
## 5107 0 0 1
## 5108 0 0 0
## 5109 0 0 0
## 5110 0 0 0
## 5111 0 0 1
## 5112 0 0 1
## 5113 0 0 0
## 5114 0 0 0
## 5115 0 0 1
## 5116 0 0 0
## 5117 0 0 0
## 5118 1 0 0
## 5119 0 0 1
## 5120 0 0 0
## 5121 0 0 0
## 5122 0 0 0
## 5123 0 0 1
## 5124 1 0 0
## 5125 0 0 1
## 5126 0 0 1
## 5127 0 0 0
## 5128 0 0 0
## 5129 0 0 1
## 5130 0 0 1
## 5131 0 0 1
## 5132 0 0 0
## 5133 0 0 0
## 5134 0 0 0
## 5135 0 0 1
## 5136 0 0 0
## 5137 0 0 1
## 5138 1 0 0
## 5139 0 0 0
## 5140 0 0 1
## 5141 1 0 0
## 5142 1 0 0
## 5143 0 0 0
## 5144 0 0 0
## 5145 0 0 0
## 5146 0 0 0
## 5147 0 0 0
## 5148 0 0 1
## 5149 0 0 0
## 5150 0 0 0
## 5151 0 0 1
## 5152 0 0 0
## 5153 0 0 1
## 5154 0 0 0
## 5155 0 0 1
## 5156 0 0 1
## 5157 0 0 0
## 5158 0 0 0
## 5159 0 0 1
## 5160 0 0 0
## 5161 0 1 0
## 5162 0 0 1
## 5163 1 0 0
## 5164 1 0 0
## 5165 0 0 1
## 5166 1 0 0
## 5167 0 0 0
## 5168 0 0 0
## 5169 0 0 0
## 5170 0 0 1
## 5171 0 0 0
## 5172 0 0 0
## 5173 0 0 1
## 5174 1 0 0
## 5175 0 0 0
## 5176 0 0 1
## 5177 0 0 1
## 5178 1 0 0
## 5179 0 0 0
## 5180 0 0 0
## 5181 0 0 1
## 5182 0 0 0
## 5183 0 0 0
## 5184 0 0 1
## 5185 0 0 1
## 5186 0 0 1
## 5187 1 0 0
## 5188 0 0 0
## 5189 1 0 0
## 5190 0 0 0
## 5191 1 0 0
## 5192 0 0 0
## 5193 1 0 0
## 5194 0 0 1
## 5195 0 0 1
## 5196 0 0 0
## 5197 0 0 0
## 5198 0 0 1
## 5199 0 0 1
## 5200 1 0 0
## 5201 1 0 0
## 5202 0 0 1
## 5203 1 0 0
## 5204 0 0 1
## 5205 0 0 0
## 5206 1 0 0
## 5207 1 0 0
## 5208 0 0 0
## 5209 1 0 0
## 5210 1 0 0
## 5211 0 0 0
## 5212 0 0 0
## 5213 0 0 0
## 5214 0 0 1
## 5215 1 0 0
## 5216 0 0 0
## 5217 0 0 0
## 5218 1 0 0
## 5219 1 0 0
## 5220 0 0 1
## 5221 0 0 0
## 5222 0 0 0
## 5223 0 0 0
## 5224 0 0 0
## 5225 0 0 0
## 5226 1 0 0
## 5227 1 0 0
## 5228 0 0 0
## 5229 0 0 0
## 5230 0 0 0
## 5231 0 0 0
## 5232 1 0 0
## 5233 1 0 0
## 5234 1 0 0
## 5235 0 0 0
## 5236 1 0 0
## 5237 0 0 1
## 5238 0 0 0
## 5239 1 0 0
## 5240 0 0 0
## 5241 0 0 1
## 5242 1 0 0
## 5243 0 0 0
## 5244 0 0 0
## 5245 0 0 1
## 5246 1 0 0
## 5247 1 0 0
## 5248 1 0 0
## 5249 1 0 0
## 5250 0 0 1
## 5251 0 0 0
## 5252 0 0 1
## 5253 0 0 0
## 5254 1 0 0
## 5255 1 0 0
## 5256 1 0 0
## 5257 1 0 0
## 5258 1 0 0
## 5259 1 0 0
## 5260 0 0 1
## 5261 0 0 1
## 5262 1 0 0
## 5263 0 0 1
## 5264 1 0 0
## 5265 1 0 0
## 5266 1 0 0
## 5267 1 0 0
## 5268 0 0 0
## 5269 1 0 0
## 5270 0 0 0
## 5271 0 0 0
## 5272 1 0 0
## 5273 0 0 0
## 5274 0 0 1
## 5275 1 0 0
## 5276 0 0 1
## 5277 1 0 0
## 5278 1 0 0
## 5279 0 0 0
## 5280 0 0 0
## 5281 0 0 0
## 5282 0 0 1
## 5283 1 0 0
## 5284 0 0 0
## 5285 1 0 0
## 5286 1 0 0
## 5287 0 0 0
## 5288 0 0 0
## 5289 0 0 0
## 5290 1 0 0
## 5291 0 0 0
## 5292 0 0 1
## 5293 1 0 0
## 5294 0 0 0
## 5295 0 0 0
## 5296 0 0 1
## 5297 0 0 0
## 5298 1 0 0
## 5299 0 0 0
## 5300 1 0 0
## 5301 1 0 0
## 5302 1 0 0
## 5303 0 0 0
## 5304 1 0 0
## 5305 0 0 1
## 5306 1 0 0
## 5307 0 0 1
## 5308 0 0 1
## 5309 1 0 0
## 5310 0 0 1
## 5311 1 0 0
## 5312 1 0 0
## 5313 1 0 0
## 5314 0 0 0
## 5315 1 0 0
## 5316 1 0 0
## 5317 0 0 1
## 5318 0 0 0
## 5319 0 0 0
## 5320 1 0 0
## 5321 1 0 0
## 5322 1 0 0
## 5323 1 0 0
## 5324 0 0 1
## 5325 0 0 0
## 5326 0 0 1
## 5327 0 0 0
## 5328 0 0 0
## 5329 0 0 0
## 5330 0 0 1
## 5331 0 0 0
## 5332 0 0 0
## 5333 0 0 0
## 5334 0 0 0
## 5335 0 0 1
## 5336 0 0 0
## 5337 0 0 0
## 5338 0 0 0
## 5339 0 0 1
## 5340 0 0 0
## 5341 0 0 0
## 5342 0 0 1
## 5343 0 0 0
## 5344 0 0 0
## 5345 0 0 0
## 5346 0 0 1
## 5347 0 0 1
## 5348 0 0 0
## 5349 0 0 0
## 5350 0 0 0
## 5351 0 0 0
## 5352 0 0 0
## 5353 0 0 0
## 5354 0 0 0
## 5355 0 0 0
## 5356 0 0 0
## 5357 0 0 1
## 5358 0 0 1
## 5359 0 0 0
## 5360 0 0 1
## 5361 0 0 0
## 5362 0 0 0
## 5363 0 0 0
## 5364 0 0 0
## 5365 0 0 0
## 5366 0 0 0
## 5367 0 0 0
## 5368 0 0 0
## 5369 0 0 1
## 5370 0 0 0
## 5371 0 0 1
## 5372 0 0 1
## 5373 0 0 0
## 5374 0 0 0
## 5375 0 0 0
## 5376 0 0 0
## 5377 0 0 0
## 5378 0 0 1
## 5379 0 0 0
## 5380 0 0 0
## 5381 0 0 0
## 5382 0 0 1
## 5383 0 0 0
## 5384 0 0 0
## 5385 0 0 1
## 5386 0 0 0
## 5387 0 0 0
## 5388 0 0 1
## 5389 0 0 0
## 5390 0 0 0
## 5391 0 0 0
## 5392 0 0 0
## 5393 0 0 0
## 5394 0 0 1
## 5395 0 0 0
## 5396 0 0 0
## 5397 0 0 0
## 5398 0 0 0
## 5399 0 0 0
## 5400 0 0 0
## 5401 0 0 0
## 5402 0 0 0
## 5403 0 0 0
## 5404 0 0 0
## 5405 0 0 0
## 5406 0 0 0
## 5407 0 0 0
## 5408 0 0 0
## 5409 0 0 0
## 5410 0 0 0
## 5411 0 0 1
## 5412 0 0 0
## 5413 0 0 0
## 5414 0 0 0
## 5415 0 0 0
## 5416 0 0 1
## 5417 0 0 1
## 5418 0 0 1
## 5419 0 0 1
## 5420 0 0 0
## 5421 0 0 1
## 5422 0 0 0
## 5423 0 0 1
## 5424 0 0 0
## 5425 0 0 0
## 5426 0 0 0
## 5427 0 0 0
## 5428 0 0 1
## 5429 0 0 0
## 5430 0 0 0
## 5431 0 0 0
## 5432 0 0 1
## 5433 0 0 1
## 5434 0 0 1
## 5435 0 0 0
## 5436 0 0 1
## 5437 0 0 0
## 5438 0 0 1
## 5439 0 0 0
## 5440 0 0 0
## 5441 0 0 0
## 5442 0 0 1
## 5443 0 0 0
## 5444 0 0 1
## 5445 0 0 0
## 5446 0 0 0
## 5447 0 0 1
## 5448 0 0 0
## 5449 0 0 0
## 5450 0 0 1
## 5451 0 0 1
## 5452 0 0 0
## 5453 0 0 0
## 5454 0 0 0
## 5455 0 0 0
## 5456 0 0 0
## 5457 0 0 0
## 5458 0 0 1
## 5459 0 0 0
## 5460 0 0 0
## 5461 0 0 0
## 5462 0 0 0
## 5463 0 0 0
## 5464 0 0 1
## 5465 0 0 0
## 5466 0 0 1
## 5467 0 0 1
## 5468 0 0 0
## 5469 0 0 0
## 5470 0 0 0
## 5471 0 0 0
## 5472 0 0 0
## 5473 0 0 1
## 5474 0 0 0
## 5475 0 0 0
## 5476 0 0 1
## 5477 0 0 0
## 5478 0 0 0
## 5479 0 0 0
## 5480 0 0 1
## 5481 0 0 1
## 5482 0 0 0
## 5483 0 0 0
## 5484 0 0 0
## 5485 0 0 0
## 5486 0 0 0
## 5487 0 0 0
## 5488 0 0 1
## 5489 0 0 0
## 5490 0 0 1
## 5491 0 0 0
## 5492 0 0 0
## 5493 0 0 0
## 5494 0 0 1
## 5495 0 0 1
## 5496 0 0 0
## 5497 0 0 1
## 5498 0 0 0
## 5499 0 0 0
## 5500 0 0 0
## 5501 0 0 0
## 5502 0 0 0
## 5503 0 0 0
## 5504 0 0 0
## 5505 0 0 0
## 5506 0 0 0
## 5507 0 0 0
## 5508 0 0 0
## 5509 0 0 1
## 5510 0 0 1
## 5511 0 0 1
## 5512 0 0 1
## 5513 0 0 0
## 5514 0 0 0
## 5515 0 0 0
## 5516 0 0 0
## 5517 0 0 1
## 5518 0 0 1
## 5519 0 0 0
## 5520 0 0 0
## 5521 0 0 1
## 5522 0 0 1
## 5523 0 0 0
## 5524 0 0 0
## 5525 0 0 0
## 5526 0 0 0
## 5527 0 0 1
## 5528 0 0 0
## 5529 0 0 1
## 5530 0 0 0
## 5531 0 0 0
## 5532 0 0 0
## 5533 0 0 0
## 5534 0 0 0
## 5535 0 0 1
## 5536 0 0 1
## 5537 0 0 0
## 5538 0 0 0
## 5539 0 0 0
## 5540 0 0 0
## 5541 0 0 1
## 5542 0 0 0
## 5543 0 0 0
## 5544 0 0 0
## 5545 0 0 0
## 5546 0 0 1
## 5547 0 0 1
## 5548 0 0 0
## 5549 0 0 0
## 5550 0 0 1
## 5551 0 0 0
## 5552 0 0 0
## 5553 0 0 0
## 5554 0 0 0
## 5555 0 0 1
## 5556 0 0 1
## 5557 0 0 0
## 5558 0 0 0
## 5559 0 0 0
## 5560 0 0 0
## 5561 0 0 1
## 5562 0 0 0
## 5563 0 0 0
## 5564 0 0 1
## 5565 0 0 0
## 5566 0 0 0
## 5567 0 0 0
## 5568 0 0 0
## 5569 0 0 0
## 5570 0 0 1By using the select function, we can only extract those columns we going to use.
RURAL_URBAN <- dplyr :: select(RURAL_URBAN,3:8)Now we going to join the newly created columns with our original data set by using cbind() function.
final_br.point <- cbind(final_br.point,RURAL_URBAN)Using the names function to change the name of each column variables.
names(final_br.point)[names(final_br.point) == 'RURAL_URBAN_Intermediário Adjacente'] <- 'Intermediario_Adjacente'
names(final_br.point)[names(final_br.point) == 'RURAL_URBAN_Intermediário Remoto'] <- 'Intermediario_Remoto'
names(final_br.point)[names(final_br.point) == 'RURAL_URBAN_Rural Adjacente'] <- 'Rural_Adjacente'
names(final_br.point)[names(final_br.point) == 'RURAL_URBAN_Rural Remoto'] <- 'Rural_Remoto'
names(final_br.point)[names(final_br.point) == 'RURAL_URBAN_Sem classificação'] <- 'Sem_classificacao'
names(final_br.point)[names(final_br.point) == 'RURAL_URBAN_Urbano'] <- 'Urbano'Since, we already converted the RURAL_URBAN values into dummy variable. Therefore, we can remove the RURAL_URBAN from our data set by using subset(dataset.name, select = -c(x)). In order to remove the variable we need to add a minus sign in front of the “c”.
final_br.point <- subset(final_br.point, select = -c(RURAL_URBAN))After done with the transforming, we can use the summary function to have a look of our data set final_br.point.
summary(final_br.point)## code_muni name_muni code_state abbrev_state
## Min. :1100015 Length:5570 31 : 853 Length:5570
## 1st Qu.:2512126 Class :character 35 : 645 Class :character
## Median :3146280 Mode :character 43 : 497 Mode :character
## Mean :3253591 29 : 417
## 3rd Qu.:4119190 41 : 399
## Max. :5300108 42 : 295
## (Other):2464
## CAPITAL IBGE_RES_POP IBGE_RES_POP_BRAS IBGE_RES_POP_ESTR
## Min. :0.000000 Min. : 0 Min. : 0 Min. : 0.00
## 1st Qu.:0.000000 1st Qu.: 5224 1st Qu.: 5217 1st Qu.: 0.00
## Median :0.000000 Median : 10932 Median : 10920 Median : 0.00
## Mean :0.004847 Mean : 34247 Mean : 34170 Mean : 77.44
## 3rd Qu.:0.000000 3rd Qu.: 23409 3rd Qu.: 23380 3rd Qu.: 10.00
## Max. :1.000000 Max. :11253503 Max. :11133776 Max. :119727.00
##
## IBGE_DU IBGE_DU_URBAN IBGE_DU_RURAL IBGE_POP
## Min. : 0 Min. : 0 Min. : 0 Min. : 0
## 1st Qu.: 1567 1st Qu.: 871 1st Qu.: 471 1st Qu.: 2790
## Median : 3170 Median : 1840 Median : 917 Median : 6158
## Mean : 10290 Mean : 8848 Mean : 1442 Mean : 27570
## 3rd Qu.: 6722 3rd Qu.: 4619 3rd Qu.: 1813 3rd Qu.: 15299
## Max. :3576148 Max. :3548433 Max. :33809 Max. :10463636
##
## IBGE_1 IBGE_1.4 IBGE_5.9 IBGE_10.14
## Min. : 0.0 Min. : 0.0 Min. : 0.0 Min. : 0.0
## 1st Qu.: 38.0 1st Qu.: 158.0 1st Qu.: 219.2 1st Qu.: 258.2
## Median : 92.0 Median : 376.0 Median : 514.5 Median : 587.0
## Mean : 382.9 Mean : 1543.1 Mean : 2067.5 Mean : 2379.3
## 3rd Qu.: 232.0 3rd Qu.: 949.8 3rd Qu.: 1299.0 3rd Qu.: 1477.5
## Max. :129464.0 Max. :514794.0 Max. :684443.0 Max. :783702.0
##
## IBGE_15.59 IBGE_60. IBGE_PLANTED_AREA IBGE_CROP_PRODUCTION_.
## Min. : 0 Min. : 0 Min. : 0.0 Min. : 0
## 1st Qu.: 1730 1st Qu.: 340 1st Qu.: 910.2 1st Qu.: 2326
## Median : 3837 Median : 721 Median : 3471.5 Median : 13846
## Mean : 18196 Mean : 3002 Mean : 14179.9 Mean : 57384
## 3rd Qu.: 9591 3rd Qu.: 1723 3rd Qu.: 11194.2 3rd Qu.: 55619
## Max. :7058221 Max. :1293012 Max. :1205669.0 Max. :3274885
##
## IDHM.Ranking.2010 IDHM IDHM_Renda IDHM_Longevidade
## Min. : 0 Min. :0.0000 Min. :0.0000 Min. :0.0000
## 1st Qu.:1387 1st Qu.:0.5990 1st Qu.:0.5720 1st Qu.:0.7690
## Median :2780 Median :0.6650 Median :0.6540 Median :0.8080
## Mean :2780 Mean :0.6585 Mean :0.6422 Mean :0.8007
## 3rd Qu.:4172 3rd Qu.:0.7180 3rd Qu.:0.7070 3rd Qu.:0.8360
## Max. :5565 Max. :0.8620 Max. :0.8910 Max. :0.8940
##
## IDHM_Educacao ALT PAY_TV FIXED_PHONES
## Min. :0.0000 Min. : 0.0 Min. : 0 Min. : 0
## 1st Qu.:0.4900 1st Qu.: 168.9 1st Qu.: 88 1st Qu.: 118
## Median :0.5600 Median : 406.3 Median : 247 Median : 327
## Mean :0.5585 Mean : 892.8 Mean : 3094 Mean : 6567
## 3rd Qu.:0.6310 3rd Qu.: 628.7 3rd Qu.: 815 3rd Qu.: 1151
## Max. :0.8250 Max. :874579.0 Max. :2047668 Max. :5543127
##
## AREA REGIAO_TUR CATEGORIA_TUR
## Min. : 0.0 :2286 :2286
## 1st Qu.: 204.3 Corredores Das Águas: 59 A: 51
## Median : 415.9 Vale Do Contestado : 45 B: 168
## Mean : 1515.6 Amazônia Atlântica : 40 C: 521
## 3rd Qu.: 1026.2 Araguaia-Tocantins : 39 D:1891
## Max. :159533.3 Cariri : 37 E: 653
## (Other) :3064
## ESTIMATED_POP GVA_AGROPEC GVA_INDUSTRY GVA_SERVICES
## Min. : 0 Min. : 0 Min. : 1 Min. : 2
## 1st Qu.: 5451 1st Qu.: 4189 1st Qu.: 1726 1st Qu.: 10112
## Median : 11590 Median : 20426 Median : 7424 Median : 31211
## Mean : 37430 Mean : 47271 Mean : 175928 Mean : 489451
## 3rd Qu.: 25296 3rd Qu.: 51227 3rd Qu.: 41022 3rd Qu.: 115406
## Max. :12176866 Max. :1402282 Max. :63306755 Max. :464656988
##
## GVA_PUBLIC GVA_TOTAL TAXES GDP
## Min. : 7 Min. : 17 Min. : -14159 Min. : 15
## 1st Qu.: 17267 1st Qu.: 42253 1st Qu.: 1305 1st Qu.: 43709
## Median : 35866 Median : 119492 Median : 5100 Median : 125153
## Mean : 123768 Mean : 832987 Mean : 118864 Mean : 954584
## 3rd Qu.: 89245 3rd Qu.: 313963 3rd Qu.: 22197 3rd Qu.: 329539
## Max. :41902893 Max. :569910503 Max. :117125387 Max. :687035890
##
## POP_GDP GDP_CAPITA
## Min. : 815 Min. : 3191
## 1st Qu.: 5483 1st Qu.: 9058
## Median : 11578 Median : 15870
## Mean : 36998 Mean : 21126
## 3rd Qu.: 25085 3rd Qu.: 26155
## Max. :12038175 Max. :314638
##
## GVA_MAIN
## Administração, defesa, educação e saúde públicas e seguridade social :2725
## Demais serviços :1477
## Agricultura, inclusive apoio à agricultura e a pós colheita : 735
## Indústrias de transformação : 261
## Pecuária, inclusive apoio à pecuária : 161
## Eletricidade e gás, água, esgoto, atividades de gestão de resíduos e descontaminação: 98
## (Other) : 113
## MUN_EXPENDIT COMP_TOT COMP_A COMP_B
## Min. :0.000e+00 Min. : 6.0 Min. : 0.00 Min. : 0.000
## 1st Qu.:0.000e+00 1st Qu.: 68.0 1st Qu.: 1.00 1st Qu.: 0.000
## Median :1.774e+07 Median : 162.0 Median : 2.00 Median : 0.000
## Mean :7.641e+07 Mean : 906.8 Mean : 18.25 Mean : 1.852
## 3rd Qu.:4.150e+07 3rd Qu.: 448.0 3rd Qu.: 8.00 3rd Qu.: 2.000
## Max. :4.577e+10 Max. :530446.0 Max. :1948.00 Max. :274.000
##
## COMP_C COMP_D COMP_E COMP_F
## Min. : 0.00 Min. : 0.0000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 3.00 1st Qu.: 0.0000 1st Qu.: 0.000 1st Qu.: 1.00
## Median : 11.00 Median : 0.0000 Median : 0.000 Median : 4.00
## Mean : 73.44 Mean : 0.4262 Mean : 2.029 Mean : 43.26
## 3rd Qu.: 39.00 3rd Qu.: 0.0000 3rd Qu.: 1.000 3rd Qu.: 15.00
## Max. :31566.00 Max. :332.0000 Max. :657.000 Max. :25222.00
##
## COMP_G COMP_H COMP_I COMP_J
## Min. : 1.0 Min. : 0 Min. : 0.00 Min. : 0.00
## 1st Qu.: 32.0 1st Qu.: 1 1st Qu.: 2.00 1st Qu.: 0.00
## Median : 74.5 Median : 7 Median : 7.00 Median : 1.00
## Mean : 348.0 Mean : 41 Mean : 55.88 Mean : 24.74
## 3rd Qu.: 199.0 3rd Qu.: 25 3rd Qu.: 24.00 3rd Qu.: 5.00
## Max. :150633.0 Max. :19515 Max. :29290.00 Max. :38720.00
##
## COMP_K COMP_L COMP_M COMP_N
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.0
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 1.00 1st Qu.: 1.0
## Median : 0.00 Median : 0.00 Median : 4.00 Median : 4.0
## Mean : 15.55 Mean : 15.14 Mean : 51.29 Mean : 83.7
## 3rd Qu.: 2.00 3rd Qu.: 3.00 3rd Qu.: 13.00 3rd Qu.: 14.0
## Max. :23738.00 Max. :14003.00 Max. :49181.00 Max. :76757.0
##
## COMP_O COMP_P COMP_Q COMP_R
## Min. : 0.000 Min. : 0.00 Min. : 0.00 Min. : 0.00
## 1st Qu.: 2.000 1st Qu.: 2.00 1st Qu.: 1.00 1st Qu.: 0.00
## Median : 2.000 Median : 6.00 Median : 3.00 Median : 2.00
## Mean : 3.269 Mean : 30.96 Mean : 34.15 Mean : 12.18
## 3rd Qu.: 3.000 3rd Qu.: 17.00 3rd Qu.: 12.00 3rd Qu.: 6.00
## Max. :204.000 Max. :16030.00 Max. :22248.00 Max. :6687.00
##
## COMP_S COMP_T COMP_U HOTELS
## Min. : 0.00 Min. :0 Min. : 0.00000 Min. : 0.0000
## 1st Qu.: 5.00 1st Qu.:0 1st Qu.: 0.00000 1st Qu.: 0.0000
## Median : 12.00 Median :0 Median : 0.00000 Median : 0.0000
## Mean : 51.61 Mean :0 Mean : 0.05027 Mean : 0.4986
## 3rd Qu.: 31.00 3rd Qu.:0 3rd Qu.: 0.00000 3rd Qu.: 0.0000
## Max. :24832.00 Max. :0 Max. :123.00000 Max. :97.0000
##
## BEDS Pr_Agencies Pu_Agencies Pr_Bank
## Min. : 0 Min. : 0.00 Min. : 0.000 Min. : 0.0000
## 1st Qu.: 0 1st Qu.: 0.00 1st Qu.: 0.000 1st Qu.: 0.0000
## Median : 0 Median : 0.00 Median : 1.000 Median : 0.0000
## Mean : 41 Mean : 2.03 Mean : 1.698 Mean : 0.7873
## 3rd Qu.: 0 3rd Qu.: 1.00 3rd Qu.: 2.000 3rd Qu.: 1.0000
## Max. :13247 Max. :1693.00 Max. :626.000 Max. :83.0000
##
## Pu_Bank Pr_Assets Pu_Assets Cars
## Min. :0.0000 Min. :0.000e+00 Min. :0.000e+00 Min. : 0
## 1st Qu.:0.0000 1st Qu.:0.000e+00 1st Qu.:0.000e+00 1st Qu.: 599
## Median :1.0000 Median :0.000e+00 Median :2.323e+07 Median : 1433
## Mean :0.9479 Mean :5.512e+09 Mean :3.603e+09 Mean : 9845
## 3rd Qu.:2.0000 3rd Qu.:4.775e+07 3rd Qu.:1.994e+08 3rd Qu.: 4084
## Max. :8.0000 Max. :1.950e+13 Max. :8.020e+12 Max. :5740995
##
## Motorcycles Wheeled_tractor UBER MAC
## Min. : 0.0 Min. : 0.000 Min. :0.00000 Min. : 0.0000
## 1st Qu.: 589.2 1st Qu.: 0.000 1st Qu.:0.00000 1st Qu.: 0.0000
## Median : 1282.5 Median : 0.000 Median :0.00000 Median : 0.0000
## Mean : 4871.5 Mean : 5.745 Mean :0.02244 Mean : 0.1275
## 3rd Qu.: 3292.8 3rd Qu.: 1.000 3rd Qu.:0.00000 3rd Qu.: 0.0000
## Max. :1134570.0 Max. :3236.000 Max. :1.00000 Max. :130.0000
##
## WAL.MART POST_OFFICES geometry
## Min. : 0.0000 Min. : 0.000 POINT :5570
## 1st Qu.: 0.0000 1st Qu.: 1.000 epsg:29101 : 0
## Median : 0.0000 Median : 1.000 +proj=poly...: 0
## Mean : 0.0377 Mean : 2.037
## 3rd Qu.: 0.0000 3rd Qu.: 2.000
## Max. :26.0000 Max. :225.000
##
## Intermediario_Adjacente Intermediario_Remoto Rural_Adjacente
## Min. :0.0000 Min. :0.00000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000
## Median :0.0000 Median :0.00000 Median :1.0000
## Mean :0.1232 Mean :0.01077 Mean :0.5458
## 3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.00000 Max. :1.0000
##
## Rural_Remoto Sem_classificacao Urbano
## Min. :0.00000 Min. :0.0000000 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.0000000 1st Qu.:0.0000
## Median :0.00000 Median :0.0000000 Median :0.0000
## Mean :0.05799 Mean :0.0008977 Mean :0.2614
## 3rd Qu.:0.00000 3rd Qu.:0.0000000 3rd Qu.:1.0000
## Max. :1.00000 Max. :1.0000000 Max. :1.0000
## 5.2 Derive new variables using dplyr
In this case, we know we going to use GDP_CAPITA as our dependent variable. During the information selection stage, we filter out that we going to use IBGE_15.59 as one of our independent varibles. Therefore, we would like to get the percentage of the IBGE_15.59 out of IBGE_RES_POP in order to get an more accurate data, with the calculation we name it as Economy_gp.
final_br.point <- final_br.point %>%
mutate(Economy_gp = `IBGE_15.59`/`IBGE_RES_POP`)As we can see there are NA values in Economy_gp’s colums, however this NA is slighly different as when we open up the data set it shows NAn. The Nan is due the calculation. Therefore, we need to use is.nan() function to change to 0.
final_br.point$Economy_gp[is.nan(final_br.point$Economy_gp)] <- 05.3 Correlation Analysis
Multiple Linear Regression Method when come to corrplot() function, we would like to group those columns we going use together. Therefore, we can use colnames() function to view the position of each variable name.
final_br.point.1 <- final_br.point
colnames(final_br.point.1)## [1] "code_muni" "name_muni"
## [3] "code_state" "abbrev_state"
## [5] "CAPITAL" "IBGE_RES_POP"
## [7] "IBGE_RES_POP_BRAS" "IBGE_RES_POP_ESTR"
## [9] "IBGE_DU" "IBGE_DU_URBAN"
## [11] "IBGE_DU_RURAL" "IBGE_POP"
## [13] "IBGE_1" "IBGE_1.4"
## [15] "IBGE_5.9" "IBGE_10.14"
## [17] "IBGE_15.59" "IBGE_60."
## [19] "IBGE_PLANTED_AREA" "IBGE_CROP_PRODUCTION_."
## [21] "IDHM.Ranking.2010" "IDHM"
## [23] "IDHM_Renda" "IDHM_Longevidade"
## [25] "IDHM_Educacao" "ALT"
## [27] "PAY_TV" "FIXED_PHONES"
## [29] "AREA" "REGIAO_TUR"
## [31] "CATEGORIA_TUR" "ESTIMATED_POP"
## [33] "GVA_AGROPEC" "GVA_INDUSTRY"
## [35] "GVA_SERVICES" "GVA_PUBLIC"
## [37] "GVA_TOTAL" "TAXES"
## [39] "GDP" "POP_GDP"
## [41] "GDP_CAPITA" "GVA_MAIN"
## [43] "MUN_EXPENDIT" "COMP_TOT"
## [45] "COMP_A" "COMP_B"
## [47] "COMP_C" "COMP_D"
## [49] "COMP_E" "COMP_F"
## [51] "COMP_G" "COMP_H"
## [53] "COMP_I" "COMP_J"
## [55] "COMP_K" "COMP_L"
## [57] "COMP_M" "COMP_N"
## [59] "COMP_O" "COMP_P"
## [61] "COMP_Q" "COMP_R"
## [63] "COMP_S" "COMP_T"
## [65] "COMP_U" "HOTELS"
## [67] "BEDS" "Pr_Agencies"
## [69] "Pu_Agencies" "Pr_Bank"
## [71] "Pu_Bank" "Pr_Assets"
## [73] "Pu_Assets" "Cars"
## [75] "Motorcycles" "Wheeled_tractor"
## [77] "UBER" "MAC"
## [79] "WAL.MART" "POST_OFFICES"
## [81] "geometry" "Intermediario_Adjacente"
## [83] "Intermediario_Remoto" "Rural_Adjacente"
## [85] "Rural_Remoto" "Sem_classificacao"
## [87] "Urbano" "Economy_gp"Now we can give the position number of each variable in the sequence that we would like to appear as.
final_br.point.1 <- final_br.point.1[, c(1:9,12:18,26,29:32,37,39,40,42,44,64,66:71,76:80,81,83,88,87,10,11,20:25,27,28,33:36,38,43,45:63,65,72:75,82,84:86,19,41)]
colnames(final_br.point.1)## [1] "code_muni" "name_muni"
## [3] "code_state" "abbrev_state"
## [5] "CAPITAL" "IBGE_RES_POP"
## [7] "IBGE_RES_POP_BRAS" "IBGE_RES_POP_ESTR"
## [9] "IBGE_DU" "IBGE_POP"
## [11] "IBGE_1" "IBGE_1.4"
## [13] "IBGE_5.9" "IBGE_10.14"
## [15] "IBGE_15.59" "IBGE_60."
## [17] "ALT" "AREA"
## [19] "REGIAO_TUR" "CATEGORIA_TUR"
## [21] "ESTIMATED_POP" "GVA_TOTAL"
## [23] "GDP" "POP_GDP"
## [25] "GVA_MAIN" "COMP_TOT"
## [27] "COMP_T" "HOTELS"
## [29] "BEDS" "Pr_Agencies"
## [31] "Pu_Agencies" "Pr_Bank"
## [33] "Pu_Bank" "Wheeled_tractor"
## [35] "UBER" "MAC"
## [37] "WAL.MART" "POST_OFFICES"
## [39] "geometry" "Intermediario_Remoto"
## [41] "Economy_gp" "Urbano"
## [43] "IBGE_DU_URBAN" "IBGE_DU_RURAL"
## [45] "IBGE_CROP_PRODUCTION_." "IDHM.Ranking.2010"
## [47] "IDHM" "IDHM_Renda"
## [49] "IDHM_Longevidade" "IDHM_Educacao"
## [51] "PAY_TV" "FIXED_PHONES"
## [53] "GVA_AGROPEC" "GVA_INDUSTRY"
## [55] "GVA_SERVICES" "GVA_PUBLIC"
## [57] "TAXES" "MUN_EXPENDIT"
## [59] "COMP_A" "COMP_B"
## [61] "COMP_C" "COMP_D"
## [63] "COMP_E" "COMP_F"
## [65] "COMP_G" "COMP_H"
## [67] "COMP_I" "COMP_J"
## [69] "COMP_K" "COMP_L"
## [71] "COMP_M" "COMP_N"
## [73] "COMP_O" "COMP_P"
## [75] "COMP_Q" "COMP_R"
## [77] "COMP_S" "COMP_U"
## [79] "Pr_Assets" "Pu_Assets"
## [81] "Cars" "Motorcycles"
## [83] "Intermediario_Adjacente" "Rural_Adjacente"
## [85] "Rural_Remoto" "Sem_classificacao"
## [87] "IBGE_PLANTED_AREA" "GDP_CAPITA"Before we perform MLR, it is important for us to ensure that the input variables use are not highly correlated. To visualise and analyse the correlation of the input variables. Before, we need to check the class of the final_br.point1 to make sure it is in data.frame format.
class(final_br.point.1)## [1] "data.frame"As we know there are around 50 independent variable in our list and when we try plotting the corrplot it definately will overlap with over another and the same of the output is very small. Therefore, if we do not adjust the size of the corrplot there is not way for us to identify the highly correlated variable. In order to solve this problem, we can adjust the size of the output by adding code to {r}.
{r fig1, fig.height=9, fig.width=10}
corrplot(cor(final_br.point.1[, 40:87]), diag = FALSE, order = "FPC",
tl.pos = "td", tl.cex = 0.5, method = "number", type = "upper",number.cex = .45)
After first round of elimination, we would to use corrplot again to show the second of correlation testing.
final_br.point.2 <- final_br.point
colnames(final_br.point.2)## [1] "code_muni" "name_muni"
## [3] "code_state" "abbrev_state"
## [5] "CAPITAL" "IBGE_RES_POP"
## [7] "IBGE_RES_POP_BRAS" "IBGE_RES_POP_ESTR"
## [9] "IBGE_DU" "IBGE_DU_URBAN"
## [11] "IBGE_DU_RURAL" "IBGE_POP"
## [13] "IBGE_1" "IBGE_1.4"
## [15] "IBGE_5.9" "IBGE_10.14"
## [17] "IBGE_15.59" "IBGE_60."
## [19] "IBGE_PLANTED_AREA" "IBGE_CROP_PRODUCTION_."
## [21] "IDHM.Ranking.2010" "IDHM"
## [23] "IDHM_Renda" "IDHM_Longevidade"
## [25] "IDHM_Educacao" "ALT"
## [27] "PAY_TV" "FIXED_PHONES"
## [29] "AREA" "REGIAO_TUR"
## [31] "CATEGORIA_TUR" "ESTIMATED_POP"
## [33] "GVA_AGROPEC" "GVA_INDUSTRY"
## [35] "GVA_SERVICES" "GVA_PUBLIC"
## [37] "GVA_TOTAL" "TAXES"
## [39] "GDP" "POP_GDP"
## [41] "GDP_CAPITA" "GVA_MAIN"
## [43] "MUN_EXPENDIT" "COMP_TOT"
## [45] "COMP_A" "COMP_B"
## [47] "COMP_C" "COMP_D"
## [49] "COMP_E" "COMP_F"
## [51] "COMP_G" "COMP_H"
## [53] "COMP_I" "COMP_J"
## [55] "COMP_K" "COMP_L"
## [57] "COMP_M" "COMP_N"
## [59] "COMP_O" "COMP_P"
## [61] "COMP_Q" "COMP_R"
## [63] "COMP_S" "COMP_T"
## [65] "COMP_U" "HOTELS"
## [67] "BEDS" "Pr_Agencies"
## [69] "Pu_Agencies" "Pr_Bank"
## [71] "Pu_Bank" "Pr_Assets"
## [73] "Pu_Assets" "Cars"
## [75] "Motorcycles" "Wheeled_tractor"
## [77] "UBER" "MAC"
## [79] "WAL.MART" "POST_OFFICES"
## [81] "geometry" "Intermediario_Adjacente"
## [83] "Intermediario_Remoto" "Rural_Adjacente"
## [85] "Rural_Remoto" "Sem_classificacao"
## [87] "Urbano" "Economy_gp"We re-adjusting the position to the second testing output.
final_br.point.2 <- final_br.point.2[, c(1:10,12:18,21,22,23,26,27,28,30,31,19,87,80,68:71,43,72,32,73,34,35,36,37,39,38,40,42,86,44,46,47,48,49,50,51,52,53,54,55,56,57,58,61,62,63,66,67,81,74:79,60,64,88,11,20,24,25,45,59,65,82:85,33,29,41)]
colnames(final_br.point.2)## [1] "code_muni" "name_muni"
## [3] "code_state" "abbrev_state"
## [5] "CAPITAL" "IBGE_RES_POP"
## [7] "IBGE_RES_POP_BRAS" "IBGE_RES_POP_ESTR"
## [9] "IBGE_DU" "IBGE_DU_URBAN"
## [11] "IBGE_POP" "IBGE_1"
## [13] "IBGE_1.4" "IBGE_5.9"
## [15] "IBGE_10.14" "IBGE_15.59"
## [17] "IBGE_60." "IDHM.Ranking.2010"
## [19] "IDHM" "IDHM_Renda"
## [21] "ALT" "PAY_TV"
## [23] "FIXED_PHONES" "REGIAO_TUR"
## [25] "CATEGORIA_TUR" "IBGE_PLANTED_AREA"
## [27] "Urbano" "POST_OFFICES"
## [29] "Pr_Agencies" "Pu_Agencies"
## [31] "Pr_Bank" "Pu_Bank"
## [33] "MUN_EXPENDIT" "Pr_Assets"
## [35] "ESTIMATED_POP" "Pu_Assets"
## [37] "GVA_INDUSTRY" "GVA_SERVICES"
## [39] "GVA_PUBLIC" "GVA_TOTAL"
## [41] "GDP" "TAXES"
## [43] "POP_GDP" "GVA_MAIN"
## [45] "Sem_classificacao" "COMP_TOT"
## [47] "COMP_B" "COMP_C"
## [49] "COMP_D" "COMP_E"
## [51] "COMP_F" "COMP_G"
## [53] "COMP_H" "COMP_I"
## [55] "COMP_J" "COMP_K"
## [57] "COMP_L" "COMP_M"
## [59] "COMP_N" "COMP_Q"
## [61] "COMP_R" "COMP_S"
## [63] "HOTELS" "BEDS"
## [65] "geometry" "Cars"
## [67] "Motorcycles" "Wheeled_tractor"
## [69] "UBER" "MAC"
## [71] "WAL.MART" "COMP_P"
## [73] "COMP_T" "Economy_gp"
## [75] "IBGE_DU_RURAL" "IBGE_CROP_PRODUCTION_."
## [77] "IDHM_Longevidade" "IDHM_Educacao"
## [79] "COMP_A" "COMP_O"
## [81] "COMP_U" "Intermediario_Adjacente"
## [83] "Intermediario_Remoto" "Rural_Adjacente"
## [85] "Rural_Remoto" "GVA_AGROPEC"
## [87] "AREA" "GDP_CAPITA"With the latest set of independent variables, we managed to figure out those without high correlation.
corrplot(cor(final_br.point.2[, 74:87]), diag = FALSE, order = "FPC",
tl.pos = "td", tl.cex = 0.5, method = "number", type = "upper",number.cex = .6)
Now we going to convert the final_br.sf to Simple feature format by using st_as_sf.
final_br.sf <- st_as_sf(final_br.point.2)6 Multiple Linear Regression
6.1 Building a hedonic pricing model using multiple linear regression method
Building a hedonic pricing model using multiple linear regression method
gdp.mlr <- lm(formula = GDP_CAPITA ~Economy_gp + IBGE_DU_RURAL + `IBGE_CROP_PRODUCTION_.` + IDHM_Longevidade + IDHM_Educacao + COMP_A + COMP_O + COMP_U + Intermediario_Adjacente + Intermediario_Remoto + Rural_Adjacente + Rural_Remoto + Sem_classificacao + GVA_AGROPEC + AREA, data=final_br.sf)
summary(gdp.mlr)##
## Call:
## lm(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL + IBGE_CROP_PRODUCTION_. +
## IDHM_Longevidade + IDHM_Educacao + COMP_A + COMP_O + COMP_U +
## Intermediario_Adjacente + Intermediario_Remoto + Rural_Adjacente +
## Rural_Remoto + Sem_classificacao + GVA_AGROPEC + AREA, data = final_br.sf)
##
## Residuals:
## Min 1Q Median 3Q Max
## -63197 -7165 -2821 2316 278811
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -7.443e+04 4.933e+03 -15.089 < 2e-16 ***
## Economy_gp -6.215e+03 2.571e+03 -2.417 0.01569 *
## IBGE_DU_RURAL -1.208e+00 1.613e-01 -7.490 7.96e-14 ***
## IBGE_CROP_PRODUCTION_. 1.529e-02 2.354e-03 6.496 8.97e-11 ***
## IDHM_Longevidade 8.227e+04 7.213e+03 11.406 < 2e-16 ***
## IDHM_Educacao 5.783e+04 4.134e+03 13.989 < 2e-16 ***
## COMP_A -2.420e+00 2.977e+00 -0.813 0.41635
## COMP_O 4.052e+01 5.149e+01 0.787 0.43132
## COMP_U 3.044e+02 1.598e+02 1.905 0.05684 .
## Intermediario_Adjacente -2.394e+03 8.347e+02 -2.868 0.00415 **
## Intermediario_Remoto 2.272e+03 2.419e+03 0.939 0.34761
## Rural_Adjacente -1.610e+03 7.764e+02 -2.073 0.03820 *
## Rural_Remoto 9.232e+01 1.248e+03 0.074 0.94103
## Sem_classificacao 1.000e+05 9.175e+03 10.904 < 2e-16 ***
## GVA_AGROPEC 3.661e-02 4.076e-03 8.982 < 2e-16 ***
## AREA -3.854e-02 4.646e-02 -0.830 0.40682
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 17260 on 5554 degrees of freedom
## Multiple R-squared: 0.2817, Adjusted R-squared: 0.2798
## F-statistic: 145.2 on 15 and 5554 DF, p-value: < 2.2e-16With reference to the report above, it is clear that not all the indepent variables are statistically significant. We will revised the model by removing those variables which are not statistically significant.
Now we going to construct another lm model based on the singnificant independent avariable provided in the above code chunk.
gdp.mlr1 <- lm(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL + `IBGE_CROP_PRODUCTION_.` + IDHM_Longevidade + IDHM_Educacao +Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao + GVA_AGROPEC, data=final_br.sf)
ols_regress(gdp.mlr1)## Model Summary
## ---------------------------------------------------------------------
## R 0.529 RMSE 17264.012
## R-Squared 0.280 Coef. Var 81.719
## Adj. R-Squared 0.279 MSE 298046100.669
## Pred R-Squared 0.275 MAE 8430.665
## ---------------------------------------------------------------------
## RMSE: Root Mean Square Error
## MSE: Mean Square Error
## MAE: Mean Absolute Error
##
## ANOVA
## -----------------------------------------------------------------------------------
## Sum of
## Squares DF Mean Square F Sig.
## -----------------------------------------------------------------------------------
## Regression 645181165672.854 9 71686796185.873 240.523 0.0000
## Residual 1.657136e+12 5560 298046100.669
## Total 2.302317e+12 5569
## -----------------------------------------------------------------------------------
##
## Parameter Estimates
## -----------------------------------------------------------------------------------------------------------------
## model Beta Std. Error Std. Beta t Sig lower upper
## -----------------------------------------------------------------------------------------------------------------
## (Intercept) -74951.259 4791.660 -15.642 0.000 -84344.785 -65557.733
## Economy_gp -5747.810 2396.876 -0.041 -2.398 0.017 -10446.623 -1048.997
## IBGE_DU_RURAL -1.102 0.151 -0.092 -7.317 0.000 -1.398 -0.807
## IBGE_CROP_PRODUCTION_. 0.015 0.002 0.109 6.410 0.000 0.010 0.020
## IDHM_Longevidade 82233.019 7202.425 0.210 11.417 0.000 68113.451 96352.586
## IDHM_Educacao 58301.049 4005.114 0.273 14.557 0.000 50449.461 66152.637
## Intermediario_Adjacente -2456.778 779.241 -0.040 -3.153 0.002 -3984.396 -929.161
## Rural_Adjacente -1542.778 631.002 -0.038 -2.445 0.015 -2779.790 -305.767
## Sem_classificacao 100554.804 9102.512 0.148 11.047 0.000 82710.324 118399.284
## GVA_AGROPEC 0.037 0.004 0.160 9.124 0.000 0.029 0.045
## -----------------------------------------------------------------------------------------------------------------In this case it provides a R-Squared of 0.28, however, we should not look at the R-Squared as we know that by adding more independent variables to the MLR, the R-Squared will automatically increase. Therefore, in this case we should look at the Adj R-Squared, as it will not increase when there is a not significant independent variable added to the MLR. By having 0.283 of adj R-Square, it means that this MLR only can explain 27.9% of GDP per CAPITA.
When there is a 1% percent increase in Enconomy group, there will be 6635.918 reais decrease in GDP per CAPTIA.
When there is a 1 unit of increase in Domestic Units Urban, there will be 1.292 reais decrease in GDP per CAPITA.
When there is a $1,000 reais increase in Crop Production, there will be 0.015 reais decrease in GDP per CAPITA.
When there is a 1 unit of increase in HDI Life Expectancy index, there will be 82233.019 reais increase in GDP per CAPITA.
When there is a 1 unit of increase in HDI Education index, there will be 57072.281 reais increase in GDP per CAPITA.
When the municipality is class under Intermediario Adjacente, there will be 2456.778 reais decrease in GDP per CAPITA.
When the municipality is class under Rural Adjacente, there will be 1542.778 reais decrease in GDP per CAPITA.
When the municipality is class under Sem classificacao, there will be 100554.804 reais increase in GDP per CAPITA.
When there is a $1,000 reais increase in Agropecuary, there will be 0.037 reais increase in GDP per CAPITA.
6.2 Checking for multicolinearity
Now we will be using ols_vif_tol to test if there are sign of multicollinearity.
ols_vif_tol(gdp.mlr1)## Variables Tolerance VIF
## 1 Economy_gp 0.4357954 2.294655
## 2 IBGE_DU_RURAL 0.8245643 1.212762
## 3 IBGE_CROP_PRODUCTION_. 0.4444613 2.249915
## 4 IDHM_Longevidade 0.3840886 2.603566
## 5 IDHM_Educacao 0.3691966 2.708584
## 6 Intermediario_Adjacente 0.8160087 1.225477
## 7 Rural_Adjacente 0.5421040 1.844665
## 8 Sem_classificacao 0.7200803 1.388734
## 9 GVA_AGROPEC 0.4197194 2.382544Since all the VIF are below 8, therefore we cna safely conclude that there is not mulitcollinearity between the independent varibles.
6.3 Test for Non-Linearity
In multiple linear regression, it is important for us to test the assumption that linearity and additivity of the relationship between dependent and independent variables.
Now we will using ols_plot_resid_fit to test for non-linearity.
ols_plot_resid_fit(gdp.mlr1)
The figure above reveals that most of the data poitns are scattered around the 0 line, hence we can safely conclude that the relationships between the dependent variable and independent variables are linear.
6.4 Test for Normality Assumption
Using ols_plot_resid_hist() function to test for normality assumption test.
ols_plot_resid_hist(gdp.mlr1)
The figure reveals that the residual of the multiple linear regression model (i.e. condo.mlr1) is resemble normal distribution.
6.5 Testing for Spatial Autocorrelation
Now we going to extract out the column of residuals from gdp.mlr1, convert it into data frame format and named it as mlr.outout.
mlr.output <- as.data.frame(gdp.mlr1$residuals)In the earlier stage, we have pre-created a data set called mun_map. Now we going to drop these 2 rows of municipalitities from this data set as well in order to prepare for furhter mapping purpose.
mun_map <- mun_map[-c(4607,4608),]Now we going to combine the residuals columns from gdp1.mlr1 data set together mun_map and rename the gdp.mlr1.residuals as MLR_RES.
mun_map.res.sf <- cbind(mun_map,
gdp.mlr1$residuals) %>%
rename(`MLR_RES` = `gdp.mlr1.residuals`)After the process of combination, we would like to perform a check on the class of mun_map.res.sf. Currently the mun_map.res.sf is in sf format.
class(mun_map.res.sf)## [1] "sf" "data.frame"Now we going to use mun_map.res.sf data set to plot the MLR_RES choropleth map by using tmap function.
tm_shape (mun_map.res.sf) +
tm_fill (col= "MLR_RES",style = "equal",palette = "Reds",legend.hist = TRUE) +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Distribution of the Residual (GDP per CAPITA)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 1,
legend.text.size = 0.8,
legend.position = c("left","bottom"),
legend.outside = TRUE,
legend.hist.width = 1,
legend.bg.alpha = 1,
outer.bg.color = "lightblue") +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
Based on the choropleth map we can see that there is sign of spatial autocorrelation across the map. The meaning of the residual is the difference between the actual value of a DV and its predicted value. Based one the histogram we can see that most of the municipalitity polygons with residual from -65,808 t0 4446.
Now we also going to combine the residuals data set with final_br.sf. final_br.sf is with municipalitity point geometry.
final_br.res.sf <- cbind(final_br.sf,
gdp.mlr1$residuals) %>%
rename(`MLR_RES` = `gdp.mlr1.residuals`)Now we going to convert the data set of final_br.res.sf to SpatialPolygonsDataFrame format.
final_br.sp <- as_Spatial(final_br.res.sf)
final_br.sp## class : SpatialPointsDataFrame
## features : 5570
## extent : 2913283, 7394984, 6270906, 10510051 (xmin, xmax, ymin, ymax)
## crs : +proj=poly +lat_0=0 +lon_0=-54 +x_0=5000000 +y_0=10000000 +ellps=aust_SA +towgs84=-66.87,4.37,-38.52,0,0,0,0 +units=m +no_defs
## variables : 88
## names : code_muni, name_muni, code_state, abbrev_state, CAPITAL, IBGE_RES_POP, IBGE_RES_POP_BRAS, IBGE_RES_POP_ESTR, IBGE_DU, IBGE_DU_URBAN, IBGE_POP, IBGE_1, IBGE_1.4, IBGE_5.9, IBGE_10.14, ...
## min values : 1100015, abadia de goiás, 11, AC, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
## max values : 5300108, zortéa, 53, TO, 1, 11253503, 11133776, 119727, 3576148, 3548433, 10463636, 129464, 514794, 684443, 783702, ...To proof that our observation is indeed true, the Moran’s I test will be performed.
First, we will compute the distance-based weight matrix by using dnearneigh() function.
nb <- dnearneigh(coordinates(final_br.sp), 0, 400000, longlat = FALSE)
summary(nb)## Neighbour list object:
## Number of regions: 5570
## Number of nonzero links: 3381502
## Percentage nonzero weights: 10.89932
## Average number of links: 607.0919
## Link number distribution:
##
## 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
## 5 3 4 4 12 6 4 6 3 5 5 7 3 2 2 4
## 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41
## 2 3 1 2 4 3 6 1 5 4 6 3 6 3 5 7
## 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57
## 3 5 2 4 2 3 3 6 3 4 6 4 5 3 5 6
## 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 74
## 7 7 7 5 2 4 3 5 7 1 4 1 2 1 2 3
## 75 76 77 78 79 80 81 82 83 84 85 86 87 88 90 91
## 3 1 1 3 2 6 4 2 1 2 3 2 3 2 2 5
## 92 93 94 95 96 98 99 100 102 103 104 105 107 108 109 110
## 2 2 2 4 1 1 4 4 3 2 3 3 2 2 1 3
## 111 112 113 116 117 118 119 122 123 124 125 126 127 128 129 131
## 5 1 1 1 4 2 1 2 1 5 3 1 4 4 4 2
## 132 133 134 135 137 138 139 140 141 142 143 145 146 147 148 149
## 2 4 1 3 2 2 3 1 2 2 3 1 4 2 2 2
## 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165
## 7 4 1 3 2 4 4 5 1 2 4 1 6 3 3 7
## 166 167 168 170 171 172 173 174 175 176 177 178 179 180 181 182
## 5 3 12 2 3 7 8 6 8 3 4 4 6 7 4 2
## 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
## 4 3 3 5 4 4 5 5 1 4 3 2 6 2 1 2
## 199 200 201 202 204 205 206 207 208 209 210 211 212 213 215 216
## 2 5 1 3 5 5 3 2 3 3 2 5 4 2 2 2
## 217 218 219 220 221 222 224 225 227 228 229 230 231 232 233 234
## 1 2 2 3 2 2 3 6 6 3 2 2 2 2 5 5
## 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250
## 2 2 8 3 1 4 5 5 4 5 3 3 4 1 1 4
## 251 252 253 254 255 256 257 259 260 261 262 263 265 266 267 268
## 4 3 2 5 5 3 9 4 3 2 8 3 5 2 4 1
## 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284
## 4 8 5 6 6 1 5 6 3 3 3 5 5 4 9 5
## 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 4 4 2 4 1 3 5 7 8 8 5 3 3 4 8 6
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316
## 7 2 2 2 3 4 9 6 7 5 4 8 5 6 4 4
## 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332
## 3 8 8 8 6 5 1 5 1 2 3 8 3 5 2 4
## 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348
## 3 6 4 7 4 3 7 7 4 6 5 5 2 6 8 4
## 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364
## 4 7 6 9 4 4 5 4 5 4 4 4 3 6 2 7
## 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
## 3 8 2 10 5 7 5 3 4 4 5 4 6 7 6 4
## 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
## 2 2 8 7 4 3 3 4 5 9 4 6 5 5 4 5
## 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412
## 9 5 5 7 6 7 2 5 8 9 7 8 9 7 9 9
## 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428
## 7 10 14 6 13 4 4 5 7 4 8 6 4 6 7 7
## 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444
## 5 9 3 4 7 4 8 5 6 6 6 5 6 7 4 5
## 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460
## 3 4 3 6 3 2 6 2 3 5 10 10 6 5 3 3
## 461 462 463 464 465 466 467 468 469 470 471 472 473 475 476 477
## 7 3 5 7 3 4 6 4 5 3 4 4 3 5 2 1
## 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493
## 3 1 8 3 3 4 2 2 5 4 3 2 2 2 4 3
## 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509
## 5 7 3 4 2 5 1 1 1 7 9 4 2 6 2 4
## 512 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528
## 3 1 3 1 3 3 3 3 3 4 1 2 2 6 5 2
## 530 531 533 534 535 536 537 538 539 540 541 542 543 544 545 546
## 1 3 1 4 8 4 2 2 5 1 7 3 1 4 3 1
## 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562
## 2 4 3 2 4 7 3 5 6 7 6 5 5 6 8 5
## 563 564 565 566 567 568 569 570 571 572 573 574 575 576 578 579
## 4 6 1 9 3 2 8 7 2 4 4 4 1 5 8 1
## 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595
## 5 3 6 3 2 8 2 1 3 3 7 4 5 6 7 3
## 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611
## 2 3 6 9 6 6 4 8 7 3 7 2 6 5 9 6
## 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627
## 3 3 6 8 10 5 6 11 2 5 8 6 12 7 9 8
## 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643
## 9 6 4 9 11 7 5 5 11 13 9 6 7 4 6 3
## 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659
## 10 5 4 6 6 3 11 7 5 10 4 9 7 2 9 7
## 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675
## 3 7 6 6 3 5 9 6 5 11 11 5 5 10 5 11
## 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691
## 6 5 7 11 6 10 11 5 7 9 4 10 5 7 11 7
## 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707
## 10 9 7 6 7 4 11 9 6 6 5 8 10 7 5 9
## 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723
## 13 6 9 6 2 9 8 7 9 8 6 8 8 7 9 6
## 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739
## 8 14 3 14 7 9 8 5 4 9 11 10 14 7 5 4
## 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755
## 7 11 11 5 10 11 9 9 10 12 6 11 8 8 6 3
## 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771
## 7 8 5 12 11 11 10 10 9 9 8 8 11 5 14 11
## 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787
## 8 7 9 11 8 5 9 11 10 9 11 11 11 9 10 12
## 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803
## 12 6 10 8 12 6 11 6 10 8 7 8 10 12 10 16
## 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819
## 11 13 10 7 8 9 6 8 7 6 8 11 13 10 3 13
## 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835
## 16 6 14 7 5 10 7 4 9 10 8 8 9 10 2 10
## 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851
## 6 5 6 9 9 7 10 9 6 8 8 10 8 2 8 9
## 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867
## 12 5 11 8 7 8 7 8 4 6 3 3 8 7 6 4
## 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883
## 2 17 1 7 3 7 7 8 8 11 7 4 5 6 11 9
## 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899
## 8 7 5 5 3 5 6 8 5 7 5 6 2 8 7 8
## 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915
## 6 7 5 5 6 7 8 2 12 10 3 10 5 5 9 6
## 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931
## 10 10 4 9 6 6 12 10 9 4 8 5 6 4 2 5
## 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947
## 7 9 7 7 9 8 2 4 6 7 8 4 4 7 11 5
## 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963
## 5 9 7 3 7 5 1 8 6 7 8 3 6 12 7 7
## 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979
## 9 3 7 3 7 3 3 9 4 6 8 5 8 5 8 5
## 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995
## 7 10 5 6 7 8 4 3 4 8 4 5 9 4 5 7
## 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011
## 1 7 11 5 4 2 9 8 2 6 8 11 9 9 6 9
## 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027
## 12 11 14 7 15 15 3 11 12 10 10 9 6 8 3 2
## 1028 1029 1030 1031 1033 1034 1035 1036 1038 1039 1041 1043 1044 1045 1051 1052
## 3 8 8 2 3 3 3 1 2 2 1 2 1 1 2 1
## 1053 1062 1069 1075 1077 1080 1082 1092
## 2 1 4 1 1 1 1 1
## 5 least connected regions:
## 124 126 147 306 1526 with 10 links
## 1 most connected region:
## 3947 with 1092 linksTo convert the output neighbours lists (i.e. nb) into a spatial weights.
nb_lw <- nb2listw(nb, style = 'W')
summary(nb_lw)## Characteristics of weights list object:
## Neighbour list object:
## Number of regions: 5570
## Number of nonzero links: 3381502
## Percentage nonzero weights: 10.89932
## Average number of links: 607.0919
## Link number distribution:
##
## 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
## 5 3 4 4 12 6 4 6 3 5 5 7 3 2 2 4
## 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41
## 2 3 1 2 4 3 6 1 5 4 6 3 6 3 5 7
## 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57
## 3 5 2 4 2 3 3 6 3 4 6 4 5 3 5 6
## 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 74
## 7 7 7 5 2 4 3 5 7 1 4 1 2 1 2 3
## 75 76 77 78 79 80 81 82 83 84 85 86 87 88 90 91
## 3 1 1 3 2 6 4 2 1 2 3 2 3 2 2 5
## 92 93 94 95 96 98 99 100 102 103 104 105 107 108 109 110
## 2 2 2 4 1 1 4 4 3 2 3 3 2 2 1 3
## 111 112 113 116 117 118 119 122 123 124 125 126 127 128 129 131
## 5 1 1 1 4 2 1 2 1 5 3 1 4 4 4 2
## 132 133 134 135 137 138 139 140 141 142 143 145 146 147 148 149
## 2 4 1 3 2 2 3 1 2 2 3 1 4 2 2 2
## 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165
## 7 4 1 3 2 4 4 5 1 2 4 1 6 3 3 7
## 166 167 168 170 171 172 173 174 175 176 177 178 179 180 181 182
## 5 3 12 2 3 7 8 6 8 3 4 4 6 7 4 2
## 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
## 4 3 3 5 4 4 5 5 1 4 3 2 6 2 1 2
## 199 200 201 202 204 205 206 207 208 209 210 211 212 213 215 216
## 2 5 1 3 5 5 3 2 3 3 2 5 4 2 2 2
## 217 218 219 220 221 222 224 225 227 228 229 230 231 232 233 234
## 1 2 2 3 2 2 3 6 6 3 2 2 2 2 5 5
## 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250
## 2 2 8 3 1 4 5 5 4 5 3 3 4 1 1 4
## 251 252 253 254 255 256 257 259 260 261 262 263 265 266 267 268
## 4 3 2 5 5 3 9 4 3 2 8 3 5 2 4 1
## 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284
## 4 8 5 6 6 1 5 6 3 3 3 5 5 4 9 5
## 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 4 4 2 4 1 3 5 7 8 8 5 3 3 4 8 6
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316
## 7 2 2 2 3 4 9 6 7 5 4 8 5 6 4 4
## 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332
## 3 8 8 8 6 5 1 5 1 2 3 8 3 5 2 4
## 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348
## 3 6 4 7 4 3 7 7 4 6 5 5 2 6 8 4
## 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364
## 4 7 6 9 4 4 5 4 5 4 4 4 3 6 2 7
## 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
## 3 8 2 10 5 7 5 3 4 4 5 4 6 7 6 4
## 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
## 2 2 8 7 4 3 3 4 5 9 4 6 5 5 4 5
## 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412
## 9 5 5 7 6 7 2 5 8 9 7 8 9 7 9 9
## 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428
## 7 10 14 6 13 4 4 5 7 4 8 6 4 6 7 7
## 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444
## 5 9 3 4 7 4 8 5 6 6 6 5 6 7 4 5
## 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460
## 3 4 3 6 3 2 6 2 3 5 10 10 6 5 3 3
## 461 462 463 464 465 466 467 468 469 470 471 472 473 475 476 477
## 7 3 5 7 3 4 6 4 5 3 4 4 3 5 2 1
## 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493
## 3 1 8 3 3 4 2 2 5 4 3 2 2 2 4 3
## 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509
## 5 7 3 4 2 5 1 1 1 7 9 4 2 6 2 4
## 512 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528
## 3 1 3 1 3 3 3 3 3 4 1 2 2 6 5 2
## 530 531 533 534 535 536 537 538 539 540 541 542 543 544 545 546
## 1 3 1 4 8 4 2 2 5 1 7 3 1 4 3 1
## 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562
## 2 4 3 2 4 7 3 5 6 7 6 5 5 6 8 5
## 563 564 565 566 567 568 569 570 571 572 573 574 575 576 578 579
## 4 6 1 9 3 2 8 7 2 4 4 4 1 5 8 1
## 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595
## 5 3 6 3 2 8 2 1 3 3 7 4 5 6 7 3
## 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611
## 2 3 6 9 6 6 4 8 7 3 7 2 6 5 9 6
## 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627
## 3 3 6 8 10 5 6 11 2 5 8 6 12 7 9 8
## 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643
## 9 6 4 9 11 7 5 5 11 13 9 6 7 4 6 3
## 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659
## 10 5 4 6 6 3 11 7 5 10 4 9 7 2 9 7
## 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675
## 3 7 6 6 3 5 9 6 5 11 11 5 5 10 5 11
## 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691
## 6 5 7 11 6 10 11 5 7 9 4 10 5 7 11 7
## 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707
## 10 9 7 6 7 4 11 9 6 6 5 8 10 7 5 9
## 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723
## 13 6 9 6 2 9 8 7 9 8 6 8 8 7 9 6
## 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739
## 8 14 3 14 7 9 8 5 4 9 11 10 14 7 5 4
## 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755
## 7 11 11 5 10 11 9 9 10 12 6 11 8 8 6 3
## 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771
## 7 8 5 12 11 11 10 10 9 9 8 8 11 5 14 11
## 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787
## 8 7 9 11 8 5 9 11 10 9 11 11 11 9 10 12
## 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803
## 12 6 10 8 12 6 11 6 10 8 7 8 10 12 10 16
## 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819
## 11 13 10 7 8 9 6 8 7 6 8 11 13 10 3 13
## 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835
## 16 6 14 7 5 10 7 4 9 10 8 8 9 10 2 10
## 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851
## 6 5 6 9 9 7 10 9 6 8 8 10 8 2 8 9
## 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867
## 12 5 11 8 7 8 7 8 4 6 3 3 8 7 6 4
## 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883
## 2 17 1 7 3 7 7 8 8 11 7 4 5 6 11 9
## 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899
## 8 7 5 5 3 5 6 8 5 7 5 6 2 8 7 8
## 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915
## 6 7 5 5 6 7 8 2 12 10 3 10 5 5 9 6
## 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931
## 10 10 4 9 6 6 12 10 9 4 8 5 6 4 2 5
## 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947
## 7 9 7 7 9 8 2 4 6 7 8 4 4 7 11 5
## 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963
## 5 9 7 3 7 5 1 8 6 7 8 3 6 12 7 7
## 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979
## 9 3 7 3 7 3 3 9 4 6 8 5 8 5 8 5
## 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995
## 7 10 5 6 7 8 4 3 4 8 4 5 9 4 5 7
## 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011
## 1 7 11 5 4 2 9 8 2 6 8 11 9 9 6 9
## 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027
## 12 11 14 7 15 15 3 11 12 10 10 9 6 8 3 2
## 1028 1029 1030 1031 1033 1034 1035 1036 1038 1039 1041 1043 1044 1045 1051 1052
## 3 8 8 2 3 3 3 1 2 2 1 2 1 1 2 1
## 1053 1062 1069 1075 1077 1080 1082 1092
## 2 1 4 1 1 1 1 1
## 5 least connected regions:
## 124 126 147 306 1526 with 10 links
## 1 most connected region:
## 3947 with 1092 links
##
## Weights style: W
## Weights constants summary:
## n nn S0 S1 S2
## W 5570 31024900 5570 38.90204 22403.03To perform Moran’s I test for residual spatial autocorrelation.
Hypothesis Test
Null Hypothesis: The residuals are randomly distributed.
Alternative Hypothesis: The residuals are not randomly distributed.
Confident Interval: 0.05
lm.morantest(gdp.mlr1, nb_lw)##
## Global Moran I for regression residuals
##
## data:
## model: lm(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL +
## IBGE_CROP_PRODUCTION_. + IDHM_Longevidade + IDHM_Educacao +
## Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao +
## GVA_AGROPEC, data = final_br.sf)
## weights: nb_lw
##
## Moran I statistic standard deviate = 20.637, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Observed Moran I Expectation Variance
## 2.093684e-02 -4.155606e-04 1.070537e-06The Global Moran’s I test for residual spatial autocorrelation shows that it’s p-value is less than 0.00000000000000022 which is less than the alpha value of 0.05. Hence, we will reject the null hypothesis that the residuals are randomly distributed.
Since the Observed Global Moran I = 0.01955789 which is greater than 0, we can infer than the residuals resemble cluster distribution.
7. Building Hedonic Pricing Models using GWmodel
7.1 Building Fixed Bandwidth GWR Model
7.1.1 Computing fixed bandwith
bw.fixed <- bw.gwr(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL + `IBGE_CROP_PRODUCTION_.` + IDHM_Longevidade + IDHM_Educacao + Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao + GVA_AGROPEC, data=final_br.sp, approach="CV", kernel="gaussian", adaptive=FALSE, longlat=FALSE)## Take a cup of tea and have a break, it will take a few minutes.
## -----A kind suggestion from GWmodel development group
## Fixed bandwidth: 3813094 CV score: 1.664512e+12
## Fixed bandwidth: 2357093 CV score: 1.658805e+12
## Fixed bandwidth: 1457235 CV score: 1.647425e+12
## Fixed bandwidth: 901092 CV score: 1.631103e+12
## Fixed bandwidth: 557376.8 CV score: 1.614642e+12
## Fixed bandwidth: 344949 CV score: 1.601464e+12
## Fixed bandwidth: 213661.5 CV score: 1.585698e+12
## Fixed bandwidth: 132521.3 CV score: 1.58842e+12
## Fixed bandwidth: 263808.9 CV score: 1.592431e+12
## Fixed bandwidth: 182668.7 CV score: 1.582968e+12
## Fixed bandwidth: 163514.1 CV score: 1.582969e+12
## Fixed bandwidth: 194506.9 CV score: 1.583721e+12
## Fixed bandwidth: 175352.3 CV score: 1.582761e+12
## Fixed bandwidth: 170830.5 CV score: 1.582753e+12
## Fixed bandwidth: 168035.9 CV score: 1.5828e+12
## Fixed bandwidth: 172557.7 CV score: 1.582744e+12
## Fixed bandwidth: 173625.1 CV score: 1.582746e+12
## Fixed bandwidth: 171898 CV score: 1.582746e+12
## Fixed bandwidth: 172965.4 CV score: 1.582744e+12
## Fixed bandwidth: 172305.7 CV score: 1.582745e+12
## Fixed bandwidth: 172713.4 CV score: 1.582744e+12
## Fixed bandwidth: 172809.7 CV score: 1.582744e+12
## Fixed bandwidth: 172653.9 CV score: 1.582744e+12
## Fixed bandwidth: 172750.2 CV score: 1.582744e+12
## Fixed bandwidth: 172690.7 CV score: 1.582744e+12
## Fixed bandwidth: 172727.5 CV score: 1.582744e+12
## Fixed bandwidth: 172736.2 CV score: 1.582744e+12
## Fixed bandwidth: 172722.1 CV score: 1.582744e+12
## Fixed bandwidth: 172718.8 CV score: 1.582744e+12
## Fixed bandwidth: 172724.2 CV score: 1.582744e+12
## Fixed bandwidth: 172725.4 CV score: 1.582744e+12
## Fixed bandwidth: 172723.4 CV score: 1.582744e+12
## Fixed bandwidth: 172724.6 CV score: 1.582744e+12
## Fixed bandwidth: 172723.9 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.5 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.4 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12
## Fixed bandwidth: 172724.3 CV score: 1.582744e+12As we can see that the recommend fixed bandwidth is 172724.3m. when we sub this value back to our distance-based weight matrix function. The statistical property is important, if the fixed bandwidth are able to provide us at least 15 neighbour data points then will be alright. However, the results provided to us that there are quite a number of municipalitities that with less than 15 neighbours. Therefore, adaptive bandwidth would be recommend and to ensure that each dat point will have enough neighbours.
7.1.2 GWModel method - fixed bandwith
To calibrate the gwr model using fixed bandwidth and gaussian kernel and display the model output.
gwr.fixed <- gwr.basic(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL + `IBGE_CROP_PRODUCTION_.` + IDHM_Longevidade + IDHM_Educacao + Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao + GVA_AGROPEC, data=final_br.sp, bw=bw.fixed, kernel = 'gaussian', longlat = FALSE)
gwr.fixed## ***********************************************************************
## * Package GWmodel *
## ***********************************************************************
## Program starts at: 2020-05-31 23:54:52
## Call:
## gwr.basic(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL +
## IBGE_CROP_PRODUCTION_. + IDHM_Longevidade + IDHM_Educacao +
## Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao +
## GVA_AGROPEC, data = final_br.sp, bw = bw.fixed, kernel = "gaussian",
## longlat = FALSE)
##
## Dependent (y) variable: GDP_CAPITA
## Independent variables: Economy_gp IBGE_DU_RURAL IBGE_CROP_PRODUCTION_. IDHM_Longevidade IDHM_Educacao Intermediario_Adjacente Rural_Adjacente Sem_classificacao GVA_AGROPEC
## Number of data points: 5570
## ***********************************************************************
## * Results of Global Regression *
## ***********************************************************************
##
## Call:
## lm(formula = formula, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -63621 -7163 -2815 2273 278767
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -7.495e+04 4.792e+03 -15.642 < 2e-16 ***
## Economy_gp -5.748e+03 2.397e+03 -2.398 0.01652 *
## IBGE_DU_RURAL -1.102e+00 1.507e-01 -7.317 2.89e-13 ***
## IBGE_CROP_PRODUCTION_. 1.501e-02 2.342e-03 6.410 1.57e-10 ***
## IDHM_Longevidade 8.223e+04 7.202e+03 11.417 < 2e-16 ***
## IDHM_Educacao 5.830e+04 4.005e+03 14.557 < 2e-16 ***
## Intermediario_Adjacente -2.457e+03 7.792e+02 -3.153 0.00163 **
## Rural_Adjacente -1.543e+03 6.310e+02 -2.445 0.01452 *
## Sem_classificacao 1.006e+05 9.103e+03 11.047 < 2e-16 ***
## GVA_AGROPEC 3.675e-02 4.028e-03 9.124 < 2e-16 ***
##
## ---Significance stars
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Residual standard error: 17260 on 5560 degrees of freedom
## Multiple R-squared: 0.2802
## Adjusted R-squared: 0.2791
## F-statistic: 240.5 on 9 and 5560 DF, p-value: < 2.2e-16
## ***Extra Diagnostic information
## Residual sum of squares: 1.657136e+12
## Sigma(hat): 17251.6
## AIC: 124505
## AICc: 124505.1
## ***********************************************************************
## * Results of Geographically Weighted Regression *
## ***********************************************************************
##
## *********************Model calibration information*********************
## Kernel function: gaussian
## Fixed bandwidth: 172724.3
## Regression points: the same locations as observations are used.
## Distance metric: Euclidean distance metric is used.
##
## ****************Summary of GWR coefficient estimates:******************
## Min. 1st Qu. Median 3rd Qu.
## Intercept -3.2974e+05 -6.3917e+04 -3.5937e+04 -7.9466e+03
## Economy_gp -1.0159e+05 -3.0241e+03 2.0655e+03 9.1162e+03
## IBGE_DU_RURAL -1.1914e+01 -1.7218e+00 -5.0167e-01 -1.2401e-01
## IBGE_CROP_PRODUCTION_. -3.5553e-02 -1.9852e-03 8.1693e-03 1.7023e-02
## IDHM_Longevidade -5.8173e+04 1.4138e+04 4.2633e+04 6.9730e+04
## IDHM_Educacao -6.9830e+04 1.3288e+04 3.5099e+04 5.8784e+04
## Intermediario_Adjacente -1.4310e+04 -4.2302e+03 -2.4478e+03 -7.3936e+02
## Rural_Adjacente -1.8041e+04 -3.0839e+03 -1.1341e+03 1.2406e+03
## Sem_classificacao -3.3311e+04 2.9937e+04 7.8972e+04 1.1229e+05
## GVA_AGROPEC -1.7860e-01 2.2599e-02 3.8407e-02 5.0350e-02
## Max.
## Intercept 8.7056e+04
## Economy_gp 6.8319e+04
## IBGE_DU_RURAL 1.2904e+00
## IBGE_CROP_PRODUCTION_. 1.6140e-01
## IDHM_Longevidade 3.8785e+05
## IDHM_Educacao 1.6850e+05
## Intermediario_Adjacente 1.9274e+04
## Rural_Adjacente 1.4167e+04
## Sem_classificacao 4.1208e+05
## GVA_AGROPEC 1.2110e-01
## ************************Diagnostic information*************************
## Number of data points: 5570
## Effective number of parameters (2trace(S) - trace(S'S)): 432.6981
## Effective degrees of freedom (n-2trace(S) + trace(S'S)): 5137.302
## AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 124265.7
## AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 123904.3
## Residual sum of squares: 1.410218e+12
## R-square value: 0.3874791
## Adjusted R-square value: 0.3358784
##
## ***********************************************************************
## Program stops at: 2020-05-31 23:55:08To perform a check on final_br.sp to ensure that it is in SpatialPointsDataFrame format.
class(final_br.sp)## [1] "SpatialPointsDataFrame"
## attr(,"package")
## [1] "sp"7.2 Building Adaptive Bandwidth GWR Model
7.2.1 Computing the adaptive bandwidth
DM <- gw.dist(dp.locat = coordinates(final_br.sp))bw.adaptive <- bw.gwr(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL + IBGE_CROP_PRODUCTION_. + IDHM_Longevidade + IDHM_Educacao + Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao + GVA_AGROPEC, data=final_br.sp, approach="CV", kernel="gaussian",
adaptive=TRUE, longlat=FALSE, dMat = DM)## Take a cup of tea and have a break, it will take a few minutes.
## -----A kind suggestion from GWmodel development group
## Adaptive bandwidth: 3450 CV score: 1.652144e+12
## Adaptive bandwidth: 2140 CV score: 1.637647e+12
## Adaptive bandwidth: 1330 CV score: 1.618697e+12
## Adaptive bandwidth: 829 CV score: 1.606789e+12
## Adaptive bandwidth: 520 CV score: 1.594909e+12
## Adaptive bandwidth: 328 CV score: 1.584767e+12
## Adaptive bandwidth: 210 CV score: 1.580083e+12
## Adaptive bandwidth: 136 CV score: 1.579053e+12
## Adaptive bandwidth: 91 CV score: 1.582314e+12
## Adaptive bandwidth: 164 CV score: 1.57883e+12
## Adaptive bandwidth: 181 CV score: 1.579366e+12
## Adaptive bandwidth: 153 CV score: 1.578835e+12
## Adaptive bandwidth: 170 CV score: 1.578838e+12
## Adaptive bandwidth: 159 CV score: 1.578568e+12
## Adaptive bandwidth: 157 CV score: 1.578733e+12
## Adaptive bandwidth: 161 CV score: 1.578906e+12
## Adaptive bandwidth: 158 CV score: 1.578715e+12
## Adaptive bandwidth: 160 CV score: 1.57877e+12
## Adaptive bandwidth: 159 CV score: 1.578568e+12The result shows that 159 is the recommended data points to be used.
7.2.2 Constructing the adaptive bandwidth gwr model
gwr.adaptive <- gwr.basic(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL + IBGE_CROP_PRODUCTION_. + IDHM_Longevidade + IDHM_Educacao + Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao + GVA_AGROPEC, data=final_br.sp, bw=bw.adaptive, kernel = 'gaussian', adaptive = TRUE, longlat=FALSE)
gwr.adaptive## ***********************************************************************
## * Package GWmodel *
## ***********************************************************************
## Program starts at: 2020-05-31 23:57:55
## Call:
## gwr.basic(formula = GDP_CAPITA ~ Economy_gp + IBGE_DU_RURAL +
## IBGE_CROP_PRODUCTION_. + IDHM_Longevidade + IDHM_Educacao +
## Intermediario_Adjacente + Rural_Adjacente + Sem_classificacao +
## GVA_AGROPEC, data = final_br.sp, bw = bw.adaptive, kernel = "gaussian",
## adaptive = TRUE, longlat = FALSE)
##
## Dependent (y) variable: GDP_CAPITA
## Independent variables: Economy_gp IBGE_DU_RURAL IBGE_CROP_PRODUCTION_. IDHM_Longevidade IDHM_Educacao Intermediario_Adjacente Rural_Adjacente Sem_classificacao GVA_AGROPEC
## Number of data points: 5570
## ***********************************************************************
## * Results of Global Regression *
## ***********************************************************************
##
## Call:
## lm(formula = formula, data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -63621 -7163 -2815 2273 278767
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -7.495e+04 4.792e+03 -15.642 < 2e-16 ***
## Economy_gp -5.748e+03 2.397e+03 -2.398 0.01652 *
## IBGE_DU_RURAL -1.102e+00 1.507e-01 -7.317 2.89e-13 ***
## IBGE_CROP_PRODUCTION_. 1.501e-02 2.342e-03 6.410 1.57e-10 ***
## IDHM_Longevidade 8.223e+04 7.202e+03 11.417 < 2e-16 ***
## IDHM_Educacao 5.830e+04 4.005e+03 14.557 < 2e-16 ***
## Intermediario_Adjacente -2.457e+03 7.792e+02 -3.153 0.00163 **
## Rural_Adjacente -1.543e+03 6.310e+02 -2.445 0.01452 *
## Sem_classificacao 1.006e+05 9.103e+03 11.047 < 2e-16 ***
## GVA_AGROPEC 3.675e-02 4.028e-03 9.124 < 2e-16 ***
##
## ---Significance stars
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Residual standard error: 17260 on 5560 degrees of freedom
## Multiple R-squared: 0.2802
## Adjusted R-squared: 0.2791
## F-statistic: 240.5 on 9 and 5560 DF, p-value: < 2.2e-16
## ***Extra Diagnostic information
## Residual sum of squares: 1.657136e+12
## Sigma(hat): 17251.6
## AIC: 124505
## AICc: 124505.1
## ***********************************************************************
## * Results of Geographically Weighted Regression *
## ***********************************************************************
##
## *********************Model calibration information*********************
## Kernel function: gaussian
## Adaptive bandwidth: 159 (number of nearest neighbours)
## Regression points: the same locations as observations are used.
## Distance metric: Euclidean distance metric is used.
##
## ****************Summary of GWR coefficient estimates:******************
## Min. 1st Qu. Median 3rd Qu.
## Intercept -1.2073e+05 -7.0463e+04 -4.2700e+04 -1.0028e+04
## Economy_gp -1.8170e+04 -2.8547e+03 3.3032e+03 9.1181e+03
## IBGE_DU_RURAL -5.0801e+00 -1.6808e+00 -5.9163e-01 -2.4026e-01
## IBGE_CROP_PRODUCTION_. -4.6265e-02 -1.5558e-03 8.8873e-03 1.7413e-02
## IDHM_Longevidade -5.2514e+04 1.5048e+04 4.5740e+04 7.5061e+04
## IDHM_Educacao -5.6198e+04 1.7337e+04 3.8331e+04 5.9385e+04
## Intermediario_Adjacente -1.2010e+04 -3.9773e+03 -2.3019e+03 -1.1038e+03
## Rural_Adjacente -1.3601e+04 -2.8961e+03 -9.7557e+02 1.0019e+03
## Sem_classificacao -2.8667e+04 4.5223e+04 8.6610e+04 1.1767e+05
## GVA_AGROPEC -9.5862e-04 2.4915e-02 3.7626e-02 4.9127e-02
## Max.
## Intercept 3.9952e+04
## Economy_gp 4.9518e+04
## IBGE_DU_RURAL 1.4315e+00
## IBGE_CROP_PRODUCTION_. 7.0300e-02
## IDHM_Longevidade 1.2971e+05
## IDHM_Educacao 1.0377e+05
## Intermediario_Adjacente 1.9509e+03
## Rural_Adjacente 6.2975e+03
## Sem_classificacao 1.9488e+05
## GVA_AGROPEC 1.1370e-01
## ************************Diagnostic information*************************
## Number of data points: 5570
## Effective number of parameters (2trace(S) - trace(S'S)): 226.0997
## Effective degrees of freedom (n-2trace(S) + trace(S'S)): 5343.9
## AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 124091.9
## AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 123920
## Residual sum of squares: 1.455328e+12
## R-square value: 0.3678856
## Adjusted R-square value: 0.3411359
##
## ***********************************************************************
## Program stops at: 2020-05-31 23:58:15Based on the results we can see that the Adjusted R-square value is 0.3411359, which means that with location of each municipalitity and the independent variables it can explain 34.11359 percent the GDP per CAPITA in Brazil.
GDP Per Capita = -7.495e+04 + -5.748e+03(Economy_gp) + -1.102e+00(IBGE_DU_RURAL) + 1.501e-02(IBGE_CROP_PRODUCTION) + -5.2514e+04(IDHM_Longevidade) + -5.6198e+04(IDHM_Educacao) + 1.2010e+04(Intermediario_Adjacente) + -1.3601e+04(Rural_Adjacente) + -2.8667e+04(Sem_classificacao) + -9.5862e-04(GVA_AGROPEC)
8. Visualising GWR Output
8.1 Converting SDF into sf data.frame
Now we going to extract the all the information fall under SDF from gwr.adaptive data set and convert it into sf format with epsg 29101.
gdp_br.sf.adaptive <- st_as_sf(gwr.adaptive$SDF) %>%
st_transform(crs=29101)Now we going to drop the geometry columns of the municipalitity point and named it as gdp_br.adaptive.output.
gdp_br.adaptive.output <- gdp_br.sf.adaptive %>%
st_set_geometry(NULL)Next we going to combine mun_map.res.sf with as.matrix(gdp_br.adaptive.output). In this data set the geometry is referring to the polygons.
gdp_br.sf.adaptive <- cbind(mun_map.res.sf, as.matrix(gdp_br.adaptive.output))8.2 Visualising distribution of the Local R2
tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Local_R2",style = "quantile",palette = "Reds",legend.hist = TRUE) +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Distribution of the Local R2 (GDP per CAPITA)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 1,
legend.text.size = 0.8,
legend.position = c("left","bottom"),
legend.outside = TRUE,
legend.hist.width = 1,
legend.bg.alpha = 1,
outer.bg.color = "lightblue") +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
Based on the Local_R2, we can see that the explanation of the GDP per CAPITA can be explained well up to 79% where the location of the municipalitity is at the top-right of the Brazil. The percentage of the explanation start reducing when location of the municipalitity moving down. When the location reaches around center-right, it only can explain around 20% of the GDP per CAPITA. However, when the location continue moving down, it start increases again.
8.3 Visualising Y and Yhat
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "y",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = " Y (GDP per CAPITA)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 1,
legend.text.size = 0.7,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "yhat",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Yhat (GDP per CAPITA)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 1,
legend.text.size = 0.7,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
The estimated of the GDP per Capita for most of the municipalitities tend to fall within the same category as the actual GDP per Captia. However, there are some municipalitities located around top-left of the Brazil map, which have a slight difference between the acutal and estimated of the GDP per Captia.
8.4 Visualising Economy Group
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Economy_gp_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(Economy Group)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Economy_gp_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(Econmy Group)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.5 Visualising IBGE DU RURAL
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IBGE_DU_RURAL_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(IBGE DU RURAL)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IBGE_DU_RURAL_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(IBGE DU RURAL)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.6 Visualising IBGE CROP PRODUCTION
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IBGE_CROP_PRODUCTION_._SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(IBGE CROP PRODUCTION)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IBGE_CROP_PRODUCTION_._TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(IBGE CROP PRODUCTION)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.7 Visualising IDHM Longevidade
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IDHM_Longevidade_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(IDHM Longevidade)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IDHM_Longevidade_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(IDHM Longevidade)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.8 Visualising IDHM Educacao
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IDHM_Educacao_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(IDHM Educacao)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "IDHM_Educacao_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(IDHM Educacao)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.9 Visualising Intermediário Adjacente
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Intermediario_Adjacente_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(Intermediário Adjacente)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Intermediario_Adjacente_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(Intermediário Adjacente)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.10 Visualising Rural Adjacente
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Rural_Adjacente_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(Rural Adjacente)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Rural_Adjacente_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(Rural Adjacente)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.11 Visualising Sem classificação
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Sem_classificacao_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(Sem classificação)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "Sem_classificacao_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(Sem classificação)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)
8.12 Visualising GVA AGROPEC
map1 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "GVA_AGROPEC_SE",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Standard error of the coefficient \n(GVA AGROPEC)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
map2 <- tm_shape (gdp_br.sf.adaptive) +
tm_fill (col= "GVA_AGROPEC_TV",style = "quantile",palette = "Reds") +
tm_borders(alpha = 0.1)+
tm_layout(main.title = "Variation rate of the coefficient \n(GVA AGROPEC)",
main.title.position = "center",
main.title.size = 1.2,
frame = TRUE,
legend.title.size = 0.7,
legend.text.size = 0.6,
legend.position = c("left","bottom")) +
tm_compass(cardinal.directions = c("N","E","S","W"),
type = "4star",
show.labels = 2,
position = c("right","bottom"))
tmap_arrange(map1, map2)