library(sf)
## Warning: package 'sf' was built under R version 4.5.3
## Linking to GEOS 3.14.1, GDAL 3.12.1, PROJ 9.7.1; sf_use_s2() is TRUE
library(dplyr)
## Warning: package 'dplyr' was built under R version 4.5.3
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(spdep)
## Warning: package 'spdep' was built under R version 4.5.3
## Loading required package: spData
## To access larger datasets in this package, install the spDataLarge
## package with: `install.packages('spDataLarge',
## repos='https://nowosad.github.io/drat/', type='source')`
library(readxl)
## Warning: package 'readxl' was built under R version 4.5.3
library(tmap)
## Warning: package 'tmap' was built under R version 4.5.3
library(writexl)
indo <- st_read(
"H:/My Drive/Semester 6/Pengantar Statistika Spasial/Pengantar Statistika Spasial/gadm41_IDN_shp/gadm41_IDN_2.shp"
)
## Reading layer `gadm41_IDN_2' from data source
## `H:\My Drive\Semester 6\Pengantar Statistika Spasial\Pengantar Statistika Spasial\gadm41_IDN_shp\gadm41_IDN_2.shp'
## using driver `ESRI Shapefile'
## Simple feature collection with 502 features and 13 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: 95.00971 ymin: -11.00761 xmax: 141.0194 ymax: 6.076941
## Geodetic CRS: WGS 84
kalimantan55 <- indo %>%
filter(NAME_1 %in% c(
"Kalimantan Barat",
"Kalimantan Selatan",
"Kalimantan Tengah",
"Kalimantan Timur",
"Kalimantan Utara"
))
print(nrow(kalimantan55))
## [1] 55
mahulu <- st_read(
"H:/My Drive/Semester 6/Pengantar Statistika Spasial/Pengantar Statistika Spasial/MAHAKAMHULU/MAHAKAMHULU/MAHAKAMHULU"
)
## Multiple layers are present in data source H:\My Drive\Semester 6\Pengantar Statistika Spasial\Pengantar Statistika Spasial\MAHAKAMHULU\MAHAKAMHULU\MAHAKAMHULU, reading layer `ADMINISTRASIKECAMATAN_AR_50K'.
## Use `st_layers' to list all layer names and their type in a data source.
## Set the `layer' argument in `st_read' to read a particular layer.
## Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, :
## automatically selected the first layer in a data source containing more than
## one.
## Reading layer `ADMINISTRASIKECAMATAN_AR_50K' from data source
## `H:\My Drive\Semester 6\Pengantar Statistika Spasial\Pengantar Statistika Spasial\MAHAKAMHULU\MAHAKAMHULU\MAHAKAMHULU'
## using driver `ESRI Shapefile'
## Simple feature collection with 24 features and 27 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: 113.75 ymin: -0.5 xmax: 116 ymax: 1.522914
## Geodetic CRS: WGS 84
mahulu_kab <- mahulu %>%
filter(WADMKK == "MAHAKAM ULU") %>%
summarise(geometry = st_union(geometry))
mahulu_kab$GID_2 <- NA
mahulu_kab$GID_0 <- "IDN"
mahulu_kab$COUNTRY <- "Indonesia"
mahulu_kab$GID_1 <- NA
mahulu_kab$NAME_1 <- "Kalimantan Timur"
mahulu_kab$NL_NAME_1 <- NA
mahulu_kab$NAME_2 <- "Mahakam Ulu"
mahulu_kab$VARNAME_2 <- NA
mahulu_kab$NL_NAME_2 <- NA
mahulu_kab$TYPE_2 <- "Kabupaten"
mahulu_kab$ENGTYPE_2 <- "Regency"
mahulu_kab$CC_2 <- NA
mahulu_kab$HASC_2 <- NA
mahulu_kab <- mahulu_kab %>%
select(names(kalimantan55))
kaltim56 <- rbind(kalimantan55, mahulu_kab)
print(nrow(kaltim56))
## [1] 56
data_excel <- read_excel(
"H:/My Drive/Semester 6/Pengantar Statistika Spasial/16231017_Data UTS_Pengantar Statistika Spasial (1).xlsx"
)
head(data_excel)
## # A tibble: 6 × 5
## `Kabupaten/Kota` Provinsi Latitude Longitude `Produksi Ketimun`
## <chr> <chr> <dbl> <dbl> <chr>
## 1 Paser Kalimantan Timur -1.44 116. 86.97
## 2 Kutai Barat Kalimantan Timur -0.594 116. 197.72499999999999
## 3 Kutai Kartanegara Kalimantan Timur -0.440 117. 4747.2939999999999
## 4 Kutai Timur Kalimantan Timur 1.04 118. 696.05499999999995
## 5 Berau Kalimantan Timur 2 117. 724.81700000000001
## 6 Penajam Paser Utara Kalimantan Timur -1.25 117. 478.42500000000001
data_spasial <- left_join(
kaltim56,
data_excel,
by = c("NAME_2" = "Kabupaten/Kota")
)
print(nrow(data_spasial))
## [1] 56
sum(is.na(data_spasial$`Produksi Ketimun`))
## [1] 0
data_spasial$NAME_1 <- factor(
data_spasial$NAME_1,
levels = c(
"Kalimantan Barat",
"Kalimantan Selatan",
"Kalimantan Tengah",
"Kalimantan Timur",
"Kalimantan Utara"
)
)
data_spasial <- data_spasial %>%
arrange(NAME_1, NAME_2)
View(
data.frame(
No = 1:nrow(data_spasial),
Provinsi = data_spasial$NAME_1,
Kabupaten = data_spasial$NAME_2
)
)
nb_queen <- poly2nb(
data_spasial,
queen = TRUE,
snap = 0.1
)
## Warning in poly2nb(data_spasial, queen = TRUE, snap = 0.1): some observations have no neighbours;
## if this seems unexpected, try increasing the snap argument.
## Warning in poly2nb(data_spasial, queen = TRUE, snap = 0.1): neighbour object has 2 sub-graphs;
## if this sub-graph count seems unexpected, try increasing the snap argument.
lw_queen <- nb2listw(
nb_queen,
style = "W",
zero.policy = TRUE
)
# matriks bobot queen (binary)
W_queen <- nb2mat(
nb_queen,
style = "B",
zero.policy = TRUE
)
# row standardization queen
W_queen_std <- nb2mat(
nb_queen,
style = "W",
zero.policy = TRUE
)
dim(W_queen)
## [1] 56 56
View(W_queen)
nb_queen <- poly2nb(
data_spasial,
queen = TRUE,
snap = 0.1
)
## Warning in poly2nb(data_spasial, queen = TRUE, snap = 0.1): some observations have no neighbours;
## if this seems unexpected, try increasing the snap argument.
## Warning in poly2nb(data_spasial, queen = TRUE, snap = 0.1): neighbour object has 2 sub-graphs;
## if this sub-graph count seems unexpected, try increasing the snap argument.
lw_queen <- nb2listw(
nb_queen,
style = "W",
zero.policy = TRUE
)
# matriks bobot queen (binary)
W_queen <- nb2mat(
nb_queen,
style = "B",
zero.policy = TRUE
)
# row standardization queen
W_queen_std <- nb2mat(
nb_queen,
style = "W",
zero.policy = TRUE
)
dim(W_queen)
## [1] 56 56
View(W_queen)
indo <- st_read(
"H:/My Drive/Semester 6/Pengantar Statistika Spasial/Pengantar Statistika Spasial/gadm41_IDN_shp/gadm41_IDN_2.shp"
)
## Reading layer `gadm41_IDN_2' from data source
## `H:\My Drive\Semester 6\Pengantar Statistika Spasial\Pengantar Statistika Spasial\gadm41_IDN_shp\gadm41_IDN_2.shp'
## using driver `ESRI Shapefile'
## Simple feature collection with 502 features and 13 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: 95.00971 ymin: -11.00761 xmax: 141.0194 ymax: 6.076941
## Geodetic CRS: WGS 84
kalimantan55 <- indo %>%
filter(NAME_1 %in% c(
"Kalimantan Timur",
"Kalimantan Barat",
"Kalimantan Tengah",
"Kalimantan Selatan",
"Kalimantan Utara"
))
print(nrow(kalimantan55))
## [1] 55
#gabungkan shp mahulu
mahulu <- st_read(
"H:/My Drive/Semester 6/Pengantar Statistika Spasial/Pengantar Statistika Spasial/MAHAKAMHULU/MAHAKAMHULU/MAHAKAMHULU"
)
## Multiple layers are present in data source H:\My Drive\Semester 6\Pengantar Statistika Spasial\Pengantar Statistika Spasial\MAHAKAMHULU\MAHAKAMHULU\MAHAKAMHULU, reading layer `ADMINISTRASIKECAMATAN_AR_50K'.
## Use `st_layers' to list all layer names and their type in a data source.
## Set the `layer' argument in `st_read' to read a particular layer.
## Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, :
## automatically selected the first layer in a data source containing more than
## one.
## Reading layer `ADMINISTRASIKECAMATAN_AR_50K' from data source
## `H:\My Drive\Semester 6\Pengantar Statistika Spasial\Pengantar Statistika Spasial\MAHAKAMHULU\MAHAKAMHULU\MAHAKAMHULU'
## using driver `ESRI Shapefile'
## Simple feature collection with 24 features and 27 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: 113.75 ymin: -0.5 xmax: 116 ymax: 1.522914
## Geodetic CRS: WGS 84
mahulu_kab <- mahulu %>%
filter(WADMKK == "MAHAKAM ULU") %>%
summarise(geometry = st_union(geometry))
mahulu_kab$GID_2 <- NA
mahulu_kab$GID_0 <- "IDN"
mahulu_kab$COUNTRY <- "Indonesia"
mahulu_kab$GID_1 <- NA
mahulu_kab$NAME_1 <- "Kalimantan Timur"
mahulu_kab$NL_NAME_1 <- NA
mahulu_kab$NAME_2 <- "Mahakam Ulu"
mahulu_kab$VARNAME_2 <- NA
mahulu_kab$NL_NAME_2 <- NA
mahulu_kab$TYPE_2 <- "Kabupaten"
mahulu_kab$ENGTYPE_2 <- "Regency"
mahulu_kab$CC_2 <- NA
mahulu_kab$HASC_2 <- NA
mahulu_kab <- mahulu_kab %>%
select(names(kalimantan55))
kaltim56 <- rbind(kalimantan55, mahulu_kab)
print(nrow(kaltim56))
## [1] 56
coords <- st_coordinates(
st_centroid(data_spasial)
)
## Warning: st_centroid assumes attributes are constant over geometries
knn4 <- knearneigh(
coords,
k = 4
)
nb_knn <- knn2nb(knn4)
lw_knn <- nb2listw(
nb_knn,
style = "W"
)
# matriks bobot KNN
W_knn <- nb2mat(
nb_knn,
style = "B"
)
# row standardization KNN
W_knn_std <- nb2mat(
nb_knn,
style = "W"
)
dim(W_knn)
## [1] 56 56
View(W_knn)
warna_wilayah <- heat.colors(
nrow(data_spasial),
alpha = 0.5
)
par(
mar = c(1, 1, 3, 1)
)
# Plot peta utama
plot(
st_geometry(data_spasial),
col = warna_wilayah,
border = "grey30",
lwd = 0.8,
main = "Peta Kabupaten/Kota Pulau Kalimantan",
xlim = c(107.5, 119.5),
ylim = c(-4.5, 4.5),
asp = 1
)
# Titik centroid
centroid <- st_centroid(data_spasial)
## Warning: st_centroid assumes attributes are constant over geometries
# Nama kabupaten/kota
text(
st_coordinates(centroid),
labels = data_spasial$NAME_2,
cex = 0.42,
font = 2,
col = "black",
pos = 3,
offset = 0.12
)
nb_queen <- poly2nb(
data_spasial,
queen = TRUE,
snap = 0.1
)
## Warning in poly2nb(data_spasial, queen = TRUE, snap = 0.1): some observations have no neighbours;
## if this seems unexpected, try increasing the snap argument.
## Warning in poly2nb(data_spasial, queen = TRUE, snap = 0.1): neighbour object has 2 sub-graphs;
## if this sub-graph count seems unexpected, try increasing the snap argument.
# list bobot row-standardized
lw_queen <- nb2listw(
nb_queen,
style = "W",
zero.policy = TRUE
)
# matriks bobot binary
W_queen <- nb2mat(
nb_queen,
style = "B",
zero.policy = TRUE
)
# matriks row standardization
W_queen_std <- nb2mat(
nb_queen,
style = "W",
zero.policy = TRUE
)
View(W_queen)
dim(W_queen)
## [1] 56 56
print(W_queen)
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
## 1 0 0 0 0 0 0 1 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4 0 0 1 0 0 1 0 1 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 6 0 0 1 1 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 7 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 10 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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## 13 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 14 0 1 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0
## 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 1 0 1 1 1 0
## 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0
## 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 1
## 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 1 0
## 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 0 0 0 0
## 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 1 0 0 1 1
## 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 1 0 0 0
## 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1
## 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0
## 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0
## 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 1 0 0 0 0 0 1
## 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 1 0
## 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1
## 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
## 31 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
## 33 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 36 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 37 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 40 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 41 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 45 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 48 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0
## 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53
## 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
## 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
## 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 14 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
## 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 19 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 22 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
## 24 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
## 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 28 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 30 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0
## 31 0 0 0 1 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 32 0 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 33 0 0 1 0 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## 34 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0
## 35 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
## 36 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0
## 37 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
## 38 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 39 0 0 1 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 40 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 41 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0
## 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1
## 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
## 45 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 1
## 46 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 1 1 0 1 1 0 1
## 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 1
## 48 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1
## 49 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0
## 50 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0
## 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
## 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
## 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 0 0 0 1 0
## 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
## 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
## 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## 54 55 56
## 1 0 0 0
## 2 0 0 0
## 3 0 0 0
## 4 0 0 0
## 5 0 0 0
## 6 0 0 0
## 7 0 0 0
## 8 0 0 0
## 9 0 0 0
## 10 0 0 0
## 11 0 0 0
## 12 0 0 0
## 13 0 0 0
## 14 0 0 0
## 15 0 0 0
## 16 0 0 0
## 17 0 0 0
## 18 0 0 0
## 19 0 0 0
## 20 0 0 0
## 21 0 0 0
## 22 0 0 0
## 23 0 0 0
## 24 0 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 0
## 33 0 0 0
## 34 0 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 0 0 0
## 44 0 0 0
## 45 0 0 0
## 46 0 0 0
## 47 0 0 0
## 48 0 0 0
## 49 0 0 0
## 50 0 0 0
## 51 0 0 0
## 52 0 1 0
## 53 1 1 0
## 54 0 1 0
## 55 1 0 0
## 56 0 0 0
## attr(,"call")
## nb2mat(neighbours = nb_queen, style = "B", zero.policy = TRUE)
# KNN (k = 4)
coords <- st_coordinates(
st_centroid(data_spasial)
)
## Warning: st_centroid assumes attributes are constant over geometries
knn4 <- knearneigh(
coords,
k = 4
)
nb_knn <- knn2nb(knn4)
# list bobot row-standardized
lw_knn <- nb2listw(
nb_knn,
style = "W"
)
# matriks bobot binary
W_knn <- nb2mat(
nb_knn,
style = "B"
)
# matriks row standardization
W_knn_std <- nb2mat(
nb_knn,
style = "W"
)
View(W_knn)
dim(W_knn)
## [1] 56 56
# ROW STANDARDIZATION - QUEEN
W_queen_std <- nb2mat(
nb_queen,
style = "W",
zero.policy = TRUE
)
View(W_queen_std)
dim(W_queen_std)
## [1] 56 56
print(W_queen_std)
## 1 2 3 4 5 6 7
## 1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.2000000
## 2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 3 0.0000000 0.0000000 0.0000000 0.5000000 0.0000000 0.5000000 0.0000000
## 4 0.0000000 0.0000000 0.1250000 0.0000000 0.0000000 0.1250000 0.0000000
## 5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.5000000 0.0000000
## 6 0.0000000 0.0000000 0.1666667 0.1666667 0.1666667 0.0000000 0.1666667
## 7 0.2500000 0.0000000 0.0000000 0.0000000 0.0000000 0.2500000 0.0000000
## 8 0.0000000 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000 0.0000000
## 9 0.2500000 0.0000000 0.0000000 0.0000000 0.2500000 0.2500000 0.2500000
## 10 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 11 0.1666667 0.0000000 0.0000000 0.1666667 0.0000000 0.1666667 0.1666667
## 12 0.0000000 0.0000000 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000
## 13 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 14 0.0000000 0.1250000 0.0000000 0.1250000 0.0000000 0.0000000 0.0000000
## 15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 16 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 17 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 18 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 19 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 20 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 21 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 22 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 23 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 24 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 25 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 26 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 27 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 28 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 29 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 30 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 31 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 32 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 33 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 34 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 35 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 36 0.0000000 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000 0.0000000
## 37 0.0000000 0.1428571 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 38 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 39 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 40 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 41 0.0000000 0.0000000 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000
## 42 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 43 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 44 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 45 0.0000000 0.1250000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 46 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 47 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 48 0.0000000 0.1666667 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 49 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 50 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 51 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 52 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 53 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 54 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 55 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 56 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 8 9 10 11 12 13 14 15
## 1 0.0000000 0.2000000 0.2 0.2000000 0.0000000 0.2 0.0000000 0.0000000
## 2 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.2500000 0.0000000
## 3 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 4 0.1250000 0.0000000 0.0 0.1250000 0.1250000 0.0 0.1250000 0.0000000
## 5 0.0000000 0.5000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 6 0.0000000 0.1666667 0.0 0.1666667 0.0000000 0.0 0.0000000 0.0000000
## 7 0.0000000 0.2500000 0.0 0.2500000 0.0000000 0.0 0.0000000 0.0000000
## 8 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.2000000 0.0000000
## 9 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 10 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.5 0.0000000 0.0000000
## 11 0.0000000 0.0000000 0.0 0.0000000 0.1666667 0.0 0.1666667 0.0000000
## 12 0.0000000 0.0000000 0.0 0.3333333 0.0000000 0.0 0.3333333 0.0000000
## 13 0.0000000 0.0000000 0.5 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 14 0.1250000 0.0000000 0.0 0.1250000 0.1250000 0.0 0.0000000 0.0000000
## 15 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 16 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 17 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 18 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 19 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 20 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 21 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.2500000
## 22 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.1428571
## 23 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.1666667
## 24 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.1666667
## 25 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 26 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 27 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 28 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 29 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 30 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 31 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.1666667 0.0000000
## 32 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 33 0.1428571 0.0000000 0.0 0.0000000 0.0000000 0.0 0.1428571 0.0000000
## 34 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 35 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 36 0.2000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 37 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.1428571 0.0000000
## 38 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 39 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 40 0.2000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 41 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 42 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 43 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 44 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 45 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 46 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 47 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 48 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 49 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.1666667
## 50 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 51 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 52 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 53 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 54 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 55 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 56 0.0000000 0.0000000 0.0 0.0000000 0.0000000 0.0 0.0000000 0.0000000
## 16 17 18 19 20 21 22 23
## 1 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 2 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 3 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 4 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 5 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 6 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 7 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 8 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 9 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 10 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 11 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 12 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 13 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 14 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 15 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.2000000 0.2000000 0.2000000
## 16 0.0000000 0.1250000 0.125 0.1250000 0.1250000 0.0000000 0.0000000 0.1250000
## 17 0.5000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 18 0.5000000 0.0000000 0.000 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000
## 19 0.2000000 0.0000000 0.200 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 20 0.2000000 0.0000000 0.000 0.0000000 0.0000000 0.2000000 0.2000000 0.2000000
## 21 0.0000000 0.0000000 0.000 0.0000000 0.2500000 0.0000000 0.2500000 0.2500000
## 22 0.0000000 0.0000000 0.000 0.0000000 0.1428571 0.1428571 0.0000000 0.0000000
## 23 0.1666667 0.0000000 0.000 0.0000000 0.1666667 0.1666667 0.0000000 0.0000000
## 24 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.1666667 0.0000000
## 25 0.3333333 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.3333333
## 26 0.3333333 0.3333333 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 27 0.2000000 0.0000000 0.000 0.2000000 0.2000000 0.0000000 0.2000000 0.0000000
## 28 0.0000000 0.0000000 0.000 0.1428571 0.0000000 0.0000000 0.1428571 0.0000000
## 29 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.3333333 0.0000000
## 30 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 31 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 32 0.0000000 0.0000000 0.000 0.1666667 0.0000000 0.0000000 0.0000000 0.0000000
## 33 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 34 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 35 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 36 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 37 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 38 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 39 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 40 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 41 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 42 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 43 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 44 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 45 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 46 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 47 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 48 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 49 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667
## 50 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 51 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 52 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 53 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 54 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 55 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 56 0.0000000 0.0000000 0.000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 24 25 26 27 28 29 30
## 1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 6 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 7 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 8 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 11 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 12 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 13 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 14 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 15 0.2000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 16 0.0000000 0.1250000 0.1250000 0.1250000 0.0000000 0.0000000 0.0000000
## 17 0.0000000 0.0000000 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000
## 18 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 19 0.0000000 0.0000000 0.0000000 0.2000000 0.2000000 0.0000000 0.0000000
## 20 0.0000000 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000 0.0000000
## 21 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 22 0.1428571 0.0000000 0.0000000 0.1428571 0.1428571 0.1428571 0.0000000
## 23 0.0000000 0.1666667 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 24 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667 0.1666667 0.1666667
## 25 0.0000000 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000
## 26 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 27 0.0000000 0.0000000 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000
## 28 0.1428571 0.0000000 0.0000000 0.1428571 0.0000000 0.1428571 0.1428571
## 29 0.3333333 0.0000000 0.0000000 0.0000000 0.3333333 0.0000000 0.0000000
## 30 0.1428571 0.0000000 0.0000000 0.0000000 0.1428571 0.0000000 0.0000000
## 31 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 32 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667 0.0000000 0.1666667
## 33 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 34 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 35 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 36 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 37 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1428571
## 38 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 39 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 40 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 41 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 42 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 43 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 44 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 45 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1250000
## 46 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 47 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 48 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667
## 49 0.1666667 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667
## 50 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 51 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 52 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 53 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 54 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 55 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 56 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 31 32 33 34 35 36 37
## 1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.2500000
## 3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1250000 0.0000000
## 5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 6 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 7 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 8 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000 0.2000000 0.0000000
## 9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 11 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 12 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 13 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 14 0.1250000 0.0000000 0.1250000 0.0000000 0.0000000 0.0000000 0.1250000
## 15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 16 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 17 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 18 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 19 0.0000000 0.2000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 20 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 21 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 22 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 23 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 24 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 25 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 26 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 27 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 28 0.0000000 0.1428571 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 29 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 30 0.0000000 0.1428571 0.0000000 0.0000000 0.0000000 0.0000000 0.1428571
## 31 0.0000000 0.1666667 0.1666667 0.0000000 0.0000000 0.0000000 0.1666667
## 32 0.1666667 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667
## 33 0.1428571 0.0000000 0.0000000 0.0000000 0.1428571 0.0000000 0.0000000
## 34 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.3333333 0.0000000
## 35 0.0000000 0.0000000 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000
## 36 0.0000000 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000 0.0000000
## 37 0.1428571 0.1428571 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 38 0.3333333 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000
## 39 0.2500000 0.2500000 0.2500000 0.0000000 0.0000000 0.0000000 0.0000000
## 40 0.0000000 0.0000000 0.2000000 0.2000000 0.2000000 0.2000000 0.0000000
## 41 0.0000000 0.0000000 0.0000000 0.3333333 0.0000000 0.3333333 0.0000000
## 42 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 43 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 44 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 45 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1250000
## 46 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 47 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 48 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667
## 49 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 50 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 51 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 52 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 53 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 54 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 55 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 56 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 38 39 40 41 42 43 44 45
## 1 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 2 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.2500000
## 3 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 4 0.0000000 0.0000000 0.0000000 0.1250000 0.000 0.0000000 0.000 0.0000000
## 5 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 6 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 7 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 8 0.0000000 0.0000000 0.2000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 9 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 10 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 11 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 12 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 13 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 14 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 15 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 16 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 17 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 18 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 19 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 20 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 21 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 22 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 23 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 24 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 25 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 26 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 27 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 28 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 29 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 30 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.1428571
## 31 0.1666667 0.1666667 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 32 0.0000000 0.1666667 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 33 0.1428571 0.1428571 0.1428571 0.0000000 0.000 0.0000000 0.000 0.0000000
## 34 0.0000000 0.0000000 0.3333333 0.3333333 0.000 0.0000000 0.000 0.0000000
## 35 0.0000000 0.0000000 0.5000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 36 0.0000000 0.0000000 0.2000000 0.2000000 0.000 0.0000000 0.000 0.0000000
## 37 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.1428571
## 38 0.0000000 0.3333333 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 39 0.2500000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 40 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 41 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 42 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 43 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 44 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 45 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 46 0.0000000 0.0000000 0.0000000 0.0000000 0.125 0.0000000 0.125 0.1250000
## 47 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.2500000 0.250 0.0000000
## 48 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.1666667
## 49 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.1666667
## 50 0.0000000 0.0000000 0.0000000 0.0000000 0.250 0.0000000 0.000 0.2500000
## 51 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 52 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.3333333 0.000 0.0000000
## 53 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.1250000 0.000 0.1250000
## 54 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 55 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 56 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.000 0.0000000
## 46 47 48 49 50 51 52 53
## 1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 2 0.0000000 0.0000000 0.2500000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 6 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 7 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 8 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 11 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 12 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 13 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 14 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 15 0.0000000 0.0000000 0.0000000 0.2000000 0.0000000 0.000 0.0000000 0.0000000
## 16 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 17 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 18 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 19 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 20 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 21 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 22 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 23 0.0000000 0.0000000 0.0000000 0.1666667 0.0000000 0.000 0.0000000 0.0000000
## 24 0.0000000 0.0000000 0.0000000 0.1666667 0.0000000 0.000 0.0000000 0.0000000
## 25 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 26 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 27 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 28 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 29 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 30 0.0000000 0.0000000 0.1428571 0.1428571 0.0000000 0.000 0.0000000 0.0000000
## 31 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 32 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 33 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 34 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 35 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 36 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 37 0.0000000 0.0000000 0.1428571 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 38 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 39 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 40 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 41 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 42 0.5000000 0.0000000 0.0000000 0.0000000 0.5000000 0.000 0.0000000 0.0000000
## 43 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000 0.000 0.3333333 0.3333333
## 44 0.5000000 0.5000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 45 0.1250000 0.0000000 0.1250000 0.1250000 0.1250000 0.000 0.0000000 0.1250000
## 46 0.0000000 0.1250000 0.1250000 0.0000000 0.1250000 0.125 0.0000000 0.1250000
## 47 0.2500000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.2500000
## 48 0.1666667 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.1666667
## 49 0.0000000 0.0000000 0.0000000 0.0000000 0.1666667 0.000 0.0000000 0.0000000
## 50 0.2500000 0.0000000 0.0000000 0.2500000 0.0000000 0.000 0.0000000 0.0000000
## 51 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 52 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.3333333
## 53 0.1250000 0.1250000 0.1250000 0.0000000 0.0000000 0.000 0.1250000 0.0000000
## 54 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.5000000
## 55 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.3333333 0.3333333
## 56 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000 0.0000000 0.0000000
## 54 55 56
## 1 0.0000000 0.0000000 0
## 2 0.0000000 0.0000000 0
## 3 0.0000000 0.0000000 0
## 4 0.0000000 0.0000000 0
## 5 0.0000000 0.0000000 0
## 6 0.0000000 0.0000000 0
## 7 0.0000000 0.0000000 0
## 8 0.0000000 0.0000000 0
## 9 0.0000000 0.0000000 0
## 10 0.0000000 0.0000000 0
## 11 0.0000000 0.0000000 0
## 12 0.0000000 0.0000000 0
## 13 0.0000000 0.0000000 0
## 14 0.0000000 0.0000000 0
## 15 0.0000000 0.0000000 0
## 16 0.0000000 0.0000000 0
## 17 0.0000000 0.0000000 0
## 18 0.0000000 0.0000000 0
## 19 0.0000000 0.0000000 0
## 20 0.0000000 0.0000000 0
## 21 0.0000000 0.0000000 0
## 22 0.0000000 0.0000000 0
## 23 0.0000000 0.0000000 0
## 24 0.0000000 0.0000000 0
## 25 0.0000000 0.0000000 0
## 26 0.0000000 0.0000000 0
## 27 0.0000000 0.0000000 0
## 28 0.0000000 0.0000000 0
## 29 0.0000000 0.0000000 0
## 30 0.0000000 0.0000000 0
## 31 0.0000000 0.0000000 0
## 32 0.0000000 0.0000000 0
## 33 0.0000000 0.0000000 0
## 34 0.0000000 0.0000000 0
## 35 0.0000000 0.0000000 0
## 36 0.0000000 0.0000000 0
## 37 0.0000000 0.0000000 0
## 38 0.0000000 0.0000000 0
## 39 0.0000000 0.0000000 0
## 40 0.0000000 0.0000000 0
## 41 0.0000000 0.0000000 0
## 42 0.0000000 0.0000000 0
## 43 0.0000000 0.0000000 0
## 44 0.0000000 0.0000000 0
## 45 0.0000000 0.0000000 0
## 46 0.0000000 0.0000000 0
## 47 0.0000000 0.0000000 0
## 48 0.0000000 0.0000000 0
## 49 0.0000000 0.0000000 0
## 50 0.0000000 0.0000000 0
## 51 0.0000000 0.0000000 0
## 52 0.0000000 0.3333333 0
## 53 0.1250000 0.1250000 0
## 54 0.0000000 0.5000000 0
## 55 0.3333333 0.0000000 0
## 56 0.0000000 0.0000000 0
## attr(,"call")
## nb2mat(neighbours = nb_queen, style = "W", zero.policy = TRUE)
# ROW STANDARDIZATION - KNN
W_knn_std <- nb2mat(
nb_knn,
style = "W"
)
View(W_knn_std)
dim(W_knn_std)
## [1] 56 56
print(W_knn_std)
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.25 0.00 0.00 0.25 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00
## 3 0.00 0.00 0.00 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.25 0.00 0.00 0.00 0.25 0.00 0.00
## 6 0.00 0.00 0.25 0.00 0.25 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00
## 7 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00
## 8 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00
## 9 0.25 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00
## 10 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.25 0.00 0.00
## 11 0.00 0.00 0.00 0.00 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 12 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.25 0.00 0.00 0.25 0.00
## 13 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.25 0.00 0.00 0.00 0.00 0.00
## 14 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.25 0.25 0.00 0.00 0.00
## 15 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 16 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 17 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 18 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 19 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 20 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 21 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 22 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 23 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 24 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 26 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 27 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 28 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 29 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 30 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 31 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 32 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 33 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 34 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 35 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 36 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 37 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 38 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 39 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 40 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 41 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 42 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 43 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 44 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 46 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 47 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 48 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 49 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 50 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 51 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 52 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 53 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 54 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 55 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 56 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 6 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 7 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 8 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 9 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 10 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 11 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 12 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 13 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 15 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.25 0.00
## 16 0.00 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 17 0.25 0.00 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00
## 18 0.25 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00
## 19 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 20 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 21 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 22 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00
## 23 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 24 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00
## 25 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 26 0.25 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 27 0.25 0.00 0.00 0.25 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 28 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.25 0.00
## 29 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.25 0.00 0.00
## 30 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.25 0.25 0.00
## 31 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 32 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00
## 33 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 34 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 35 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 36 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 37 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 38 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 39 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 40 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 41 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 42 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 43 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 44 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 46 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 47 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 48 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 49 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00
## 50 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 51 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 52 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 53 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 54 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 55 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 56 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 6 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 7 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 8 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 9 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 10 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 11 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 12 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 13 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 15 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 16 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 17 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 18 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 19 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 20 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 21 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 22 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 23 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 24 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 26 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 27 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 28 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 29 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 30 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 31 0.00 0.25 0.25 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 32 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00
## 33 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 34 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.00
## 35 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 36 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.00 0.00 0.00
## 37 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 38 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00
## 39 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 40 0.00 0.00 0.25 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 41 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 42 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 43 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 44 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 45 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 46 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25
## 47 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00
## 48 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25
## 49 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 50 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00
## 51 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00
## 52 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00
## 53 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00
## 54 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 55 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00
## 56 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.00
## 46 47 48 49 50 51 52 53 54 55 56
## 1 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 3 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 5 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 6 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 7 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 8 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 9 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 10 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 11 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 12 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 13 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 14 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 15 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 16 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 17 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 18 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 19 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 20 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 21 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 22 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 23 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 24 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 26 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 27 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 28 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 29 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 30 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 31 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 32 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 33 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 34 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 35 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 36 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 37 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 38 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 39 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 40 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 41 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 42 0.25 0.00 0.00 0.25 0.25 0.25 0.00 0.00 0.00 0.00 0.00
## 43 0.00 0.25 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.25 0.25
## 44 0.25 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 45 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 46 0.00 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 47 0.25 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 48 0.25 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
## 49 0.00 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00
## 50 0.25 0.00 0.00 0.25 0.00 0.25 0.00 0.00 0.00 0.00 0.00
## 51 0.25 0.00 0.00 0.00 0.25 0.00 0.00 0.00 0.00 0.00 0.00
## 52 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.25
## 53 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.25 0.00
## 54 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.25 0.00 0.25 0.25
## 55 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.00 0.25
## 56 0.00 0.00 0.00 0.00 0.00 0.00 0.25 0.00 0.25 0.25 0.00
## attr(,"call")
## nb2mat(neighbours = nb_knn, style = "W")
str(data_spasial$`Produksi Ketimun`)
## chr [1:56] "5.1760000000000002" "88.811000000000007" "226.03299999999999" ...
data_spasial$`Produksi Ketimun` <- as.numeric(
gsub("\\.", "",
gsub(",", ".",
data_spasial$`Produksi Ketimun`))
)
# MORAN'S I GLOBAL - QUEEN
moran_queen <- moran.test(
data_spasial$`Produksi Ketimun`,
lw_queen,
zero.policy = TRUE
)
print(moran_queen)
##
## Moran I test under randomisation
##
## data: data_spasial$`Produksi Ketimun`
## weights: lw_queen
## n reduced by no-neighbour observations
##
## Moran I statistic standard deviate = 1.7505, p-value = 0.04002
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 0.140422803 -0.018518519 0.008244378
# MORAN'S I GLOBAL - KNN
moran_knn <- moran.test(
data_spasial$`Produksi Ketimun`,
lw_knn
)
print(moran_knn)
##
## Moran I test under randomisation
##
## data: data_spasial$`Produksi Ketimun`
## weights: lw_knn
##
## Moran I statistic standard deviate = 0.70011, p-value = 0.2419
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 0.041134799 -0.018181818 0.007178311
# LOCAL MORAN'S I - QUEEN
lisa_queen <- localmoran(
data_spasial$`Produksi Ketimun`,
lw_queen,
zero.policy = TRUE
)
# Gabungkan hasil ke data
hasil_lisa_queen <- data.frame(
Kabupaten_Kota = data_spasial$NAME_2,
Provinsi = data_spasial$NAME_1,
Ii = lisa_queen[,1],
E.Ii = lisa_queen[,2],
Var.Ii = lisa_queen[,3],
Z.Ii = lisa_queen[,4],
P.Value = lisa_queen[,5]
)
View(hasil_lisa_queen)
print(hasil_lisa_queen)
## Kabupaten_Kota Provinsi Ii E.Ii
## 1 Bengkayang Kalimantan Barat 0.646846599 -3.150006e-02
## 2 Kapuas Hulu Kalimantan Barat -1.573377545 -1.427768e-01
## 3 Kayong Utara Kalimantan Barat -0.071861085 -3.920445e-04
## 4 Ketapang Kalimantan Barat -0.014971158 -8.722962e-04
## 5 Kota Pontianak Kalimantan Barat 0.363167014 -1.049413e-02
## 6 Kubu Raya Kalimantan Barat -0.212403305 -1.049413e-02
## 7 Landak Kalimantan Barat 0.020352765 -1.304681e-05
## 8 Melawi Kalimantan Barat 0.495022902 -1.049413e-02
## 9 Pontianak Kalimantan Barat 0.008658687 -7.008325e-04
## 10 Sambas Kalimantan Barat 0.196867387 -9.100745e-03
## 11 Sanggau Kalimantan Barat 0.501938049 -1.304859e-01
## 12 Sekadau Kalimantan Barat 0.861217575 -4.198690e-02
## 13 Singkawang Kalimantan Barat -0.768737843 -1.049413e-02
## 14 Sintang Kalimantan Barat -0.355447355 -1.049413e-02
## 15 Balangan Kalimantan Selatan -0.116823332 -1.896915e-03
## 16 Banjar Kalimantan Selatan 0.019042413 -1.049413e-02
## 17 Banjar Baru Kalimantan Selatan 0.169170632 -1.969265e-02
## 18 Banjarmasin Kalimantan Selatan 0.577177229 -1.049413e-02
## 19 Barito Kuala Kalimantan Selatan 0.220183753 -1.049413e-02
## 20 Hulu Sungai Selatan Kalimantan Selatan -0.229963658 -7.350333e-03
## 21 Hulu Sungai Tengah Kalimantan Selatan 0.027179889 -2.819090e-03
## 22 Hulu Sungai Utara Kalimantan Selatan 0.183017029 -1.049413e-02
## 23 Kota Baru Kalimantan Selatan -0.011891441 -1.078063e-04
## 24 Tabalong Kalimantan Selatan 0.440082411 -1.049413e-02
## 25 Tanah Bumbu Kalimantan Selatan -0.101829481 -1.049413e-02
## 26 Tanah Laut Kalimantan Selatan -0.173110875 -2.139720e-02
## 27 Tapin Kalimantan Selatan 0.365132368 -1.049413e-02
## 28 Barito Selatan Kalimantan Tengah 0.322181889 -1.049413e-02
## 29 Barito Timur Kalimantan Tengah 0.577177229 -1.049413e-02
## 30 Barito Utara Kalimantan Tengah 0.236113344 -1.049413e-02
## 31 Gunung Mas Kalimantan Tengah 0.279682666 -1.049413e-02
## 32 Kapuas Kalimantan Tengah -1.207790151 -4.595271e-02
## 33 Katingan Kalimantan Tengah 0.577177229 -1.049413e-02
## 34 Kotawaringin Barat Kalimantan Tengah 0.577177229 -1.049413e-02
## 35 Kotawaringin Timur Kalimantan Tengah 0.577177229 -1.049413e-02
## 36 Lamandau Kalimantan Tengah 0.495022902 -1.049413e-02
## 37 Murung Raya Kalimantan Tengah -0.150475784 -1.049413e-02
## 38 Palangka Raya Kalimantan Tengah 0.577177229 -1.049413e-02
## 39 Pulang Pisau Kalimantan Tengah 0.130935384 -1.049413e-02
## 40 Seruyan Kalimantan Tengah 0.577177229 -1.049413e-02
## 41 Sukamara Kalimantan Tengah 0.440253351 -1.049413e-02
## 42 Balikpapan Kalimantan Timur 0.181905465 -4.535654e-04
## 43 Berau Kalimantan Timur 2.063452484 -8.383784e-02
## 44 Bontang Kalimantan Timur -1.206547561 -1.049413e-02
## 45 Kutai Barat Kalimantan Timur 0.010142715 -2.016777e-05
## 46 Kutai Kartanegara Kalimantan Timur 0.321112810 -2.380778e-02
## 47 Kutai Timur Kalimantan Timur 1.473915968 -7.507209e-02
## 48 Mahakam Ulu Kalimantan Timur -0.358328095 -1.049413e-02
## 49 Paser Kalimantan Timur -0.009242043 -1.049413e-02
## 50 Penajam Paser Utara Kalimantan Timur 0.166864352 -2.442854e-02
## 51 Samarinda Kalimantan Timur 0.014337360 -2.854264e-06
## 52 Bulungan Kalimantan Utara 0.281905732 -4.211928e-03
## 53 Malinau Kalimantan Utara 0.260749469 -2.482459e-03
## 54 Nunukan Kalimantan Utara -0.258820582 -3.199535e-02
## 55 Tana Tidung Kalimantan Utara -0.551397700 -1.049413e-02
## 56 Tarakan Kalimantan Utara 0.000000000 0.000000e+00
## Var.Ii Z.Ii P.Value
## 1 0.3163772344 1.206004912 0.22781560
## 2 1.6182888723 -1.124580163 0.26076698
## 3 0.0107697391 -0.688676656 0.49102677
## 4 0.0053099093 -0.193481967 0.84658153
## 5 0.2853678315 0.699480213 0.48425197
## 6 0.0879435455 -0.680854113 0.49596381
## 7 0.0001725056 1.550601130 0.12099730
## 8 0.1076859741 1.540480564 0.12344326
## 9 0.0092600687 0.097262731 0.92251775
## 10 0.2478258445 0.413739259 0.67906507
## 11 0.9609022660 0.645161847 0.51882231
## 12 0.7230388038 1.062197506 0.28814603
## 13 0.2853678315 -1.419404931 0.15578100
## 14 0.0632655098 -1.371439650 0.17023794
## 15 0.0196343925 -0.820183698 0.41211139
## 16 0.0632655098 0.117429219 0.90651993
## 17 0.5305259258 0.259295054 0.79540760
## 18 0.2853678315 1.100099631 0.27128871
## 19 0.1076859741 0.702953164 0.48208494
## 20 0.0756653963 -0.809286879 0.41835015
## 21 0.0371695504 0.155601153 0.87634742
## 22 0.0738418108 0.712122730 0.47638878
## 23 0.0009129280 -0.389996768 0.69653894
## 24 0.0879435456 1.519380654 0.12866671
## 25 0.1866556885 -0.211406473 0.83257011
## 26 0.3763913765 -0.247289062 0.80468452
## 27 0.1076859741 1.144660383 0.25234987
## 28 0.0738418108 1.224250609 0.22085770
## 29 0.1866556885 1.360234894 0.17375560
## 30 0.0738418108 0.907517626 0.36413313
## 31 0.0879435456 0.978499702 0.32782724
## 32 0.3712958458 -1.906712986 0.05655776
## 33 0.0738418108 2.162635648 0.03056921
## 34 0.1866556885 1.360234894 0.17375560
## 35 0.2853678315 1.100099631 0.27128871
## 36 0.1076859741 1.540480564 0.12344326
## 37 0.0738418108 -0.515133683 0.60645961
## 38 0.1866556885 1.360234894 0.17375560
## 39 0.1372996170 0.381685262 0.70269483
## 40 0.1076859741 1.790832454 0.07332019
## 41 0.1866556885 1.043308377 0.29680549
## 42 0.0124589968 1.633750514 0.10231125
## 43 1.3806665399 1.827453638 0.06763159
## 44 0.2853678315 -2.238968961 0.02515794
## 45 0.0001228715 0.916835200 0.35922900
## 46 0.1415977513 0.916623401 0.35934002
## 47 0.9181018121 1.616600271 0.10596459
## 48 0.0879435456 -1.172924346 0.24082615
## 49 0.0879435456 0.004222144 0.99663123
## 50 0.3151091460 0.340775469 0.73327262
## 51 0.0001598383 1.134266704 0.25668269
## 52 0.0753918170 1.042035607 0.29739517
## 53 0.0150870643 2.143069194 0.03210754
## 54 0.8511467599 -0.245860714 0.80579006
## 55 0.1866556885 -1.251985305 0.21057522
## 56 0.0000000000 NaN NaN
# LOCAL MORAN'S I - KNN
lisa_knn <- localmoran(
data_spasial$`Produksi Ketimun`,
lw_knn
)
hasil_lisa_knn <- data.frame(
Kabupaten_Kota = data_spasial$NAME_2,
Provinsi = data_spasial$NAME_1,
Ii = lisa_knn[,1],
E.Ii = lisa_knn[,2],
Var.Ii = lisa_knn[,3],
Z.Ii = lisa_knn[,4],
P.Value = lisa_knn[,5]
)
View(hasil_lisa_knn)
print(hasil_lisa_knn)
## Kabupaten_Kota Provinsi Ii E.Ii
## 1 Bengkayang Kalimantan Barat -0.072977879 -3.150006e-02
## 2 Kapuas Hulu Kalimantan Barat -2.128946671 -1.427768e-01
## 3 Kayong Utara Kalimantan Barat 0.034524731 -3.920445e-04
## 4 Ketapang Kalimantan Barat 0.116763338 -8.722962e-04
## 5 Kota Pontianak Kalimantan Barat 0.320790036 -1.049413e-02
## 6 Kubu Raya Kalimantan Barat 0.148606043 -1.049413e-02
## 7 Landak Kalimantan Barat 0.020352765 -1.304681e-05
## 8 Melawi Kalimantan Barat 0.041565742 -1.049413e-02
## 9 Pontianak Kalimantan Barat 0.008658687 -7.008325e-04
## 10 Sambas Kalimantan Barat 0.068446193 -9.100745e-03
## 11 Sanggau Kalimantan Barat 0.018066319 -1.304859e-01
## 12 Sekadau Kalimantan Barat 0.450678801 -4.198690e-02
## 13 Singkawang Kalimantan Barat -0.352167500 -1.049413e-02
## 14 Sintang Kalimantan Barat -1.185379030 -1.049413e-02
## 15 Balangan Kalimantan Selatan -0.152247136 -1.896915e-03
## 16 Banjar Kalimantan Selatan 0.235218706 -1.049413e-02
## 17 Banjar Baru Kalimantan Selatan -0.310743116 -1.969265e-02
## 18 Banjarmasin Kalimantan Selatan -0.115116945 -1.049413e-02
## 19 Barito Kuala Kalimantan Selatan 0.235218706 -1.049413e-02
## 20 Hulu Sungai Selatan Kalimantan Selatan -0.127589848 -7.350333e-03
## 21 Hulu Sungai Tengah Kalimantan Selatan -0.055188025 -2.819090e-03
## 22 Hulu Sungai Utara Kalimantan Selatan 0.093039107 -1.049413e-02
## 23 Kota Baru Kalimantan Selatan 0.011412987 -1.078063e-04
## 24 Tabalong Kalimantan Selatan 0.371535001 -1.049413e-02
## 25 Tanah Bumbu Kalimantan Selatan 0.076299324 -1.049413e-02
## 26 Tanah Laut Kalimantan Selatan -0.335874500 -2.139720e-02
## 27 Tapin Kalimantan Selatan 0.312121152 -1.049413e-02
## 28 Barito Selatan Kalimantan Tengah 0.130935384 -1.049413e-02
## 29 Barito Timur Kalimantan Tengah 0.371535001 -1.049413e-02
## 30 Barito Utara Kalimantan Tengah 0.426557276 -1.049413e-02
## 31 Gunung Mas Kalimantan Tengah 0.130935384 -1.049413e-02
## 32 Kapuas Kalimantan Tengah -1.207790151 -4.595271e-02
## 33 Katingan Kalimantan Tengah 0.577177229 -1.049413e-02
## 34 Kotawaringin Barat Kalimantan Tengah 0.577177229 -1.049413e-02
## 35 Kotawaringin Timur Kalimantan Tengah 0.577177229 -1.049413e-02
## 36 Lamandau Kalimantan Tengah 0.474484320 -1.049413e-02
## 37 Murung Raya Kalimantan Tengah 0.426557276 -1.049413e-02
## 38 Palangka Raya Kalimantan Tengah 0.130935384 -1.049413e-02
## 39 Pulang Pisau Kalimantan Tengah 0.130935384 -1.049413e-02
## 40 Seruyan Kalimantan Tengah 0.577177229 -1.049413e-02
## 41 Sukamara Kalimantan Tengah 0.474484320 -1.049413e-02
## 42 Balikpapan Kalimantan Timur 0.061449214 -4.535654e-04
## 43 Berau Kalimantan Timur 0.533533341 -8.383784e-02
## 44 Bontang Kalimantan Timur -0.635651735 -1.049413e-02
## 45 Kutai Barat Kalimantan Timur -0.009449173 -2.016777e-05
## 46 Kutai Kartanegara Kalimantan Timur 0.377075675 -2.380778e-02
## 47 Kutai Timur Kalimantan Timur 1.292572744 -7.507209e-02
## 48 Mahakam Ulu Kalimantan Timur 0.064925109 -1.049413e-02
## 49 Paser Kalimantan Timur -0.167204902 -1.049413e-02
## 50 Penajam Paser Utara Kalimantan Timur 0.160843941 -2.442854e-02
## 51 Samarinda Kalimantan Timur 0.005330135 -2.854264e-06
## 52 Bulungan Kalimantan Utara 0.235172750 -4.211928e-03
## 53 Malinau Kalimantan Utara 0.295187965 -2.482459e-03
## 54 Nunukan Kalimantan Utara -0.221743462 -3.199535e-02
## 55 Tana Tidung Kalimantan Utara -0.606919184 -1.049413e-02
## 56 Tarakan Kalimantan Utara -0.606919184 -1.049413e-02
## Var.Ii Z.Ii P.Value
## 1 0.4033809739 -0.06530677 0.947929750
## 2 1.6182888723 -1.56130720 0.118451286
## 3 0.0051816669 0.48506438 0.627630678
## 4 0.0115236328 1.09583253 0.273152068
## 5 0.1372996170 0.89405867 0.371290502
## 6 0.1372996170 0.42937425 0.667650892
## 7 0.0001725056 1.55060113 0.120997301
## 8 0.1372996170 0.14049745 0.888266966
## 9 0.0092600687 0.09726273 0.922517752
## 10 0.1192369629 0.22457386 0.822310803
## 11 1.5001841499 0.12128491 0.903465374
## 12 0.5318506586 0.67554997 0.499326418
## 13 0.1372996170 -0.92209670 0.356478140
## 14 0.1372996170 -3.17074020 0.001520511
## 15 0.0250338504 -0.95025518 0.341982607
## 16 0.1372996170 0.66312161 0.507252668
## 17 0.2552530398 -0.57608005 0.564561077
## 18 0.1372996170 -0.28235256 0.777673185
## 19 0.1372996170 0.66312161 0.507252668
## 20 0.0964733803 -0.38711809 0.698668786
## 21 0.0371695504 -0.27163147 0.785905396
## 22 0.1372996170 0.27941205 0.779928623
## 23 0.0014252856 0.30516269 0.760242250
## 24 0.1372996170 1.03100749 0.302537308
## 25 0.1372996170 0.23423529 0.814802323
## 26 0.2768648106 -0.59766170 0.550065684
## 27 0.1372996170 0.87066337 0.383937983
## 28 0.1372996170 0.38168526 0.702694833
## 29 0.1372996170 1.03100749 0.302537308
## 30 0.1372996170 1.17949977 0.238199229
## 31 0.1372996170 0.38168526 0.702694833
## 32 0.5796761675 -1.52599337 0.127011516
## 33 0.1372996170 1.58598788 0.112742059
## 34 0.1372996170 1.58598788 0.112742059
## 35 0.1372996170 1.58598788 0.112742059
## 36 0.1372996170 1.30884368 0.190587308
## 37 0.1372996170 1.17949977 0.238199229
## 38 0.1372996170 0.38168526 0.702694833
## 39 0.1372996170 0.38168526 0.702694833
## 40 0.1372996170 1.58598788 0.112742059
## 41 0.1372996170 1.30884368 0.190587308
## 42 0.0059944230 0.79953311 0.423981355
## 43 1.0155864452 0.61261540 0.540130676
## 44 0.1372996170 -1.68715450 0.091573648
## 45 0.0002666574 -0.57741633 0.563658249
## 46 0.3072972476 0.72316733 0.469577090
## 47 0.9181018121 1.42734155 0.153481471
## 48 0.1372996170 0.20353893 0.838713820
## 49 0.1372996170 -0.42292580 0.672349396
## 50 0.3151091460 0.33005051 0.741361797
## 51 0.0000377396 0.86810461 0.385337066
## 52 0.0554564807 1.01652999 0.309377072
## 53 0.0327421396 1.64506157 0.099957114
## 54 0.4095140071 -0.29651255 0.766838682
## 55 0.1372996170 -1.60961205 0.107482576
## 56 0.1372996170 -1.60961205 0.107482576
# Standarisasi variabel
z_prod <- scale(data_spasial$`Produksi Ketimun`)
# LISA - QUEEN
lag_queen <- lag.listw(
lw_queen,
data_spasial$`Produksi Ketimun`,
zero.policy = TRUE
)
z_lag_queen <- scale(lag_queen)
cluster_queen <- ifelse(
z_prod > 0 & z_lag_queen > 0, "High-High",
ifelse(
z_prod < 0 & z_lag_queen < 0, "Low-Low",
ifelse(
z_prod > 0 & z_lag_queen < 0, "High-Low",
ifelse(
z_prod < 0 & z_lag_queen > 0, "Low-High",
"Not Significant"
)
)
)
)
hasil_lisa_queen$Cluster <- cluster_queen
View(hasil_lisa_queen)
table(hasil_lisa_queen$Cluster)
##
## High-High High-Low Low-High Low-Low
## 16 8 10 22
# LISA - KNN
lag_knn <- lag.listw(
lw_knn,
data_spasial$`Produksi Ketimun`
)
z_lag_knn <- scale(lag_knn)
cluster_knn <- ifelse(
z_prod > 0 & z_lag_knn > 0, "High-High",
ifelse(
z_prod < 0 & z_lag_knn < 0, "Low-Low",
ifelse(
z_prod > 0 & z_lag_knn < 0, "High-Low",
ifelse(
z_prod < 0 & z_lag_knn > 0, "Low-High",
"Not Significant"
)
)
)
)
hasil_lisa_knn$Cluster <- cluster_knn
View(hasil_lisa_knn)
table(hasil_lisa_knn$Cluster)
##
## High-High High-Low Low-High Low-Low
## 15 9 9 23
for (i in 1:length(nb_queen)) {
cat("\n====================================\n")
cat("Wilayah :", data_spasial$NAME_2[i], "\n")
cat("Tetangga :", "\n")
print(
data_spasial$NAME_2[nb_queen[[i]]]
)
}
##
## ====================================
## Wilayah : Bengkayang
## Tetangga :
## [1] "Landak" "Pontianak" "Sambas" "Sanggau" "Singkawang"
##
## ====================================
## Wilayah : Kapuas Hulu
## Tetangga :
## [1] "Sintang" "Murung Raya" "Kutai Barat" "Mahakam Ulu"
##
## ====================================
## Wilayah : Kayong Utara
## Tetangga :
## [1] "Ketapang" "Kubu Raya"
##
## ====================================
## Wilayah : Ketapang
## Tetangga :
## [1] "Kayong Utara" "Kubu Raya" "Melawi" "Sanggau" "Sekadau"
## [6] "Sintang" "Lamandau" "Sukamara"
##
## ====================================
## Wilayah : Kota Pontianak
## Tetangga :
## [1] "Kubu Raya" "Pontianak"
##
## ====================================
## Wilayah : Kubu Raya
## Tetangga :
## [1] "Kayong Utara" "Ketapang" "Kota Pontianak" "Landak"
## [5] "Pontianak" "Sanggau"
##
## ====================================
## Wilayah : Landak
## Tetangga :
## [1] "Bengkayang" "Kubu Raya" "Pontianak" "Sanggau"
##
## ====================================
## Wilayah : Melawi
## Tetangga :
## [1] "Ketapang" "Sintang" "Katingan" "Lamandau" "Seruyan"
##
## ====================================
## Wilayah : Pontianak
## Tetangga :
## [1] "Bengkayang" "Kota Pontianak" "Kubu Raya" "Landak"
##
## ====================================
## Wilayah : Sambas
## Tetangga :
## [1] "Bengkayang" "Singkawang"
##
## ====================================
## Wilayah : Sanggau
## Tetangga :
## [1] "Bengkayang" "Ketapang" "Kubu Raya" "Landak" "Sekadau"
## [6] "Sintang"
##
## ====================================
## Wilayah : Sekadau
## Tetangga :
## [1] "Ketapang" "Sanggau" "Sintang"
##
## ====================================
## Wilayah : Singkawang
## Tetangga :
## [1] "Bengkayang" "Sambas"
##
## ====================================
## Wilayah : Sintang
## Tetangga :
## [1] "Kapuas Hulu" "Ketapang" "Melawi" "Sanggau" "Sekadau"
## [6] "Gunung Mas" "Katingan" "Murung Raya"
##
## ====================================
## Wilayah : Balangan
## Tetangga :
## [1] "Hulu Sungai Tengah" "Hulu Sungai Utara" "Kota Baru"
## [4] "Tabalong" "Paser"
##
## ====================================
## Wilayah : Banjar
## Tetangga :
## [1] "Banjar Baru" "Banjarmasin" "Barito Kuala"
## [4] "Hulu Sungai Selatan" "Kota Baru" "Tanah Bumbu"
## [7] "Tanah Laut" "Tapin"
##
## ====================================
## Wilayah : Banjar Baru
## Tetangga :
## [1] "Banjar" "Tanah Laut"
##
## ====================================
## Wilayah : Banjarmasin
## Tetangga :
## [1] "Banjar" "Barito Kuala"
##
## ====================================
## Wilayah : Barito Kuala
## Tetangga :
## [1] "Banjar" "Banjarmasin" "Tapin" "Barito Selatan"
## [5] "Kapuas"
##
## ====================================
## Wilayah : Hulu Sungai Selatan
## Tetangga :
## [1] "Banjar" "Hulu Sungai Tengah" "Hulu Sungai Utara"
## [4] "Kota Baru" "Tapin"
##
## ====================================
## Wilayah : Hulu Sungai Tengah
## Tetangga :
## [1] "Balangan" "Hulu Sungai Selatan" "Hulu Sungai Utara"
## [4] "Kota Baru"
##
## ====================================
## Wilayah : Hulu Sungai Utara
## Tetangga :
## [1] "Balangan" "Hulu Sungai Selatan" "Hulu Sungai Tengah"
## [4] "Tabalong" "Tapin" "Barito Selatan"
## [7] "Barito Timur"
##
## ====================================
## Wilayah : Kota Baru
## Tetangga :
## [1] "Balangan" "Banjar" "Hulu Sungai Selatan"
## [4] "Hulu Sungai Tengah" "Tanah Bumbu" "Paser"
##
## ====================================
## Wilayah : Tabalong
## Tetangga :
## [1] "Balangan" "Hulu Sungai Utara" "Barito Selatan"
## [4] "Barito Timur" "Barito Utara" "Paser"
##
## ====================================
## Wilayah : Tanah Bumbu
## Tetangga :
## [1] "Banjar" "Kota Baru" "Tanah Laut"
##
## ====================================
## Wilayah : Tanah Laut
## Tetangga :
## [1] "Banjar" "Banjar Baru" "Tanah Bumbu"
##
## ====================================
## Wilayah : Tapin
## Tetangga :
## [1] "Banjar" "Barito Kuala" "Hulu Sungai Selatan"
## [4] "Hulu Sungai Utara" "Barito Selatan"
##
## ====================================
## Wilayah : Barito Selatan
## Tetangga :
## [1] "Barito Kuala" "Hulu Sungai Utara" "Tabalong"
## [4] "Tapin" "Barito Timur" "Barito Utara"
## [7] "Kapuas"
##
## ====================================
## Wilayah : Barito Timur
## Tetangga :
## [1] "Hulu Sungai Utara" "Tabalong" "Barito Selatan"
##
## ====================================
## Wilayah : Barito Utara
## Tetangga :
## [1] "Tabalong" "Barito Selatan" "Kapuas" "Murung Raya"
## [5] "Kutai Barat" "Mahakam Ulu" "Paser"
##
## ====================================
## Wilayah : Gunung Mas
## Tetangga :
## [1] "Sintang" "Kapuas" "Katingan" "Murung Raya"
## [5] "Palangka Raya" "Pulang Pisau"
##
## ====================================
## Wilayah : Kapuas
## Tetangga :
## [1] "Barito Kuala" "Barito Selatan" "Barito Utara" "Gunung Mas"
## [5] "Murung Raya" "Pulang Pisau"
##
## ====================================
## Wilayah : Katingan
## Tetangga :
## [1] "Melawi" "Sintang" "Gunung Mas"
## [4] "Kotawaringin Timur" "Palangka Raya" "Pulang Pisau"
## [7] "Seruyan"
##
## ====================================
## Wilayah : Kotawaringin Barat
## Tetangga :
## [1] "Lamandau" "Seruyan" "Sukamara"
##
## ====================================
## Wilayah : Kotawaringin Timur
## Tetangga :
## [1] "Katingan" "Seruyan"
##
## ====================================
## Wilayah : Lamandau
## Tetangga :
## [1] "Ketapang" "Melawi" "Kotawaringin Barat"
## [4] "Seruyan" "Sukamara"
##
## ====================================
## Wilayah : Murung Raya
## Tetangga :
## [1] "Kapuas Hulu" "Sintang" "Barito Utara" "Gunung Mas" "Kapuas"
## [6] "Kutai Barat" "Mahakam Ulu"
##
## ====================================
## Wilayah : Palangka Raya
## Tetangga :
## [1] "Gunung Mas" "Katingan" "Pulang Pisau"
##
## ====================================
## Wilayah : Pulang Pisau
## Tetangga :
## [1] "Gunung Mas" "Kapuas" "Katingan" "Palangka Raya"
##
## ====================================
## Wilayah : Seruyan
## Tetangga :
## [1] "Melawi" "Katingan" "Kotawaringin Barat"
## [4] "Kotawaringin Timur" "Lamandau"
##
## ====================================
## Wilayah : Sukamara
## Tetangga :
## [1] "Ketapang" "Kotawaringin Barat" "Lamandau"
##
## ====================================
## Wilayah : Balikpapan
## Tetangga :
## [1] "Kutai Kartanegara" "Penajam Paser Utara"
##
## ====================================
## Wilayah : Berau
## Tetangga :
## [1] "Kutai Timur" "Bulungan" "Malinau"
##
## ====================================
## Wilayah : Bontang
## Tetangga :
## [1] "Kutai Kartanegara" "Kutai Timur"
##
## ====================================
## Wilayah : Kutai Barat
## Tetangga :
## [1] "Kapuas Hulu" "Barito Utara" "Murung Raya"
## [4] "Kutai Kartanegara" "Mahakam Ulu" "Paser"
## [7] "Penajam Paser Utara" "Malinau"
##
## ====================================
## Wilayah : Kutai Kartanegara
## Tetangga :
## [1] "Balikpapan" "Bontang" "Kutai Barat"
## [4] "Kutai Timur" "Mahakam Ulu" "Penajam Paser Utara"
## [7] "Samarinda" "Malinau"
##
## ====================================
## Wilayah : Kutai Timur
## Tetangga :
## [1] "Berau" "Bontang" "Kutai Kartanegara"
## [4] "Malinau"
##
## ====================================
## Wilayah : Mahakam Ulu
## Tetangga :
## [1] "Kapuas Hulu" "Barito Utara" "Murung Raya"
## [4] "Kutai Barat" "Kutai Kartanegara" "Malinau"
##
## ====================================
## Wilayah : Paser
## Tetangga :
## [1] "Balangan" "Kota Baru" "Tabalong"
## [4] "Barito Utara" "Kutai Barat" "Penajam Paser Utara"
##
## ====================================
## Wilayah : Penajam Paser Utara
## Tetangga :
## [1] "Balikpapan" "Kutai Barat" "Kutai Kartanegara"
## [4] "Paser"
##
## ====================================
## Wilayah : Samarinda
## Tetangga :
## [1] "Kutai Kartanegara"
##
## ====================================
## Wilayah : Bulungan
## Tetangga :
## [1] "Berau" "Malinau" "Tana Tidung"
##
## ====================================
## Wilayah : Malinau
## Tetangga :
## [1] "Berau" "Kutai Barat" "Kutai Kartanegara"
## [4] "Kutai Timur" "Mahakam Ulu" "Bulungan"
## [7] "Nunukan" "Tana Tidung"
##
## ====================================
## Wilayah : Nunukan
## Tetangga :
## [1] "Malinau" "Tana Tidung"
##
## ====================================
## Wilayah : Tana Tidung
## Tetangga :
## [1] "Bulungan" "Malinau" "Nunukan"
##
## ====================================
## Wilayah : Tarakan
## Tetangga :
## character(0)