Descarga de datos del suelo de SoilGrids

1. Introduccion

En este libro se explicara la descarga de datos del suelo de soilgrids e igualmente la proyeccion de estos en un modelo de estructura raster. En resolucion de 250m.

Descargar estos datos en R da facilidad en la proyeccion de estos ya que se descargan en un solo paquete, por ejemplo en QGIS estos datos debben ser descargados por fragmentos haciendo las largo el proceso y aumentando el margen de error en la proyeccion.

Por otro lado es importante resaltar SoilGrids puede accederse desde R mediante los siguientes servicios ofrecidos por ISRIC:

Web Mapping Service (WMS): permite la visualización y el acceso rápido a vistas generales de los datos.

Web Coverage Service (WCS): facilita la descarga de subconjuntos de mapas, siendo ideal para integrar datos de SoilGrids en otros modelos o análisis espaciales.

Web Distributed Authoring and Versioning (WebDAV): posibilita la descarga completa de los mapas globales en formato VRT (Virtual Raster Tile).

2. Configuracion del cuaderno

Lo primero sera limpiar el espacio de trabajo:

rm(list=ls())

Ahora se instalan las librerias necesarias, primero se comprueba cuales ya estan instaladas y las que falten se instalan.

library(terra)
library(XML)
library(sf)
library(gdalUtilities)
library(dplyr)
library(leaflet)
library(RColorBrewer)
library(ggplot2)
library(tidyterra)
library(tmap)

2.1 Soilgrids

Soilgrids ofrece cobertura mundial y coherencia entre los limites de paises u otros territorios, sus datos son modelos globales y en Colombia esto se compara con el responsable de la cartografia nacional el Instituto Geografico Agustin Codazzi (IGAC). Cuya informacion es detallada y precisa.

2.2 Definir Variables de valor

Primero definimos el URL correspondiente a ISRIC y creamos los objetos que necesitamos:

url = "https://files.isric.org/soilgrids/latest/data/" # Path to the webDAV data.
# basic strings
voi = "soc" # soil organic carbon 
depth = "15-30cm"
quantile = "mean"
# concatenate the strings
(variable = paste(url, voi, sep=""))

## [1] "https://files.isric.org/soilgrids/latest/data/soc"

Tambien vamos a definir la propiedad de suelo que queremos descargar:

(layer = paste(variable,depth,quantile, sep="_"))

## [1] "https://files.isric.org/soilgrids/latest/data/soc_15-30cm_mean"

(vrt_layer = paste(layer, '.vrt', sep=""))

## [1] "https://files.isric.org/soilgrids/latest/data/soc_15-30cm_mean.vrt"

3. Amazonas

En este momento haremos la lectura del GeoPackage del departamento del amazonas, informacion previamente recopilada del DANE.

getwd()

## [1] "C:/Users/DELL/Desktop"

file.exists("Datos/Amazonas Munic.gpkg")

## [1] TRUE

(amaz = st_read("Datos/Amazonas Munic.gpkg"))

## Reading layer `cortado' from data source 
##   `C:\Users\DELL\Desktop\Datos\Amazonas Munic.gpkg' using driver `GPKG'
## Simple feature collection with 8 features and 11 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: -74.38985 ymin: -4.228429 xmax: -69.36835 ymax: 0.1603
## Geodetic CRS:  WGS 84

## Simple feature collection with 8 features and 11 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: -74.38985 ymin: -4.228429 xmax: -69.36835 ymax: 0.1603
## Geodetic CRS:  WGS 84
##   ID_0 ISO   NAME_0 ID_1   NAME_1 ID_2           NAME_2
## 1   53 COL Colombia    1 Amazonas    1       El Encanto
## 2   53 COL Colombia    1 Amazonas    2      La Chorrera
## 3   53 COL Colombia    1 Amazonas    3       La Pedrera
## 4   53 COL Colombia    1 Amazonas    4          Leticia
## 5   53 COL Colombia    1 Amazonas    5    Mirití-Paraná
## 6   53 COL Colombia    1 Amazonas    6    Puerto Nariño
## 7   53 COL Colombia    1 Amazonas    7 Puerto Santander
## 8   53 COL Colombia    1 Amazonas    8         Tarapacá
##                       TYPE_2                  ENGTYPE_2 NL_NAME_2     VARNAME_2
## 1 Corregimiento Departamento Corregimiento Departamento      <NA>          <NA>
## 2 Corregimiento Departamento Corregimiento Departamento      <NA>          <NA>
## 3 Corregimiento Departamento Corregimiento Departamento      <NA>          <NA>
## 4                  Municipio               Municipality      <NA>          <NA>
## 5 Corregimiento Departamento Corregimiento Departamento      <NA> Miriti Parana
## 6                  Municipio               Municipality      <NA>          <NA>
## 7 Corregimiento Departamento Corregimiento Departamento      <NA>          <NA>
## 8 Corregimiento Departamento Corregimiento Departamento      <NA>          <NA>
##                             geom
## 1 MULTIPOLYGON (((-73.23018 -...
## 2 MULTIPOLYGON (((-71.9802 -1...
## 3 MULTIPOLYGON (((-72.61586 -...
## 4 MULTIPOLYGON (((-70.0579 -4...
## 5 MULTIPOLYGON (((-70.2188 -0...
## 6 MULTIPOLYGON (((-70.28952 -...
## 7 MULTIPOLYGON (((-71.4002 -0...
## 8 MULTIPOLYGON (((-70.1296 -3...

Ahora vamos a reproyectar la capa usando la libreria sf:

igh='+proj=igh +lat_0=0 +lon_0=0 +datum=WGS84 +units=m +no_defs'
amaz_igh <- st_transform(amaz, igh)

Sigue obtener el cuadro delimitador del area del amazonas que en este caso es el area que nos interesa.

(bbox <- st_bbox(amaz_igh))

##        xmin        ymin        xmax        ymax 
## -8280954.30  -470706.55 -7721766.56    17844.51

Vamos a usar los datos bbox para definir los cuadros limite.

ulx = bbox$xmin
uly = bbox$ymax
lrx= bbox$xmax
lry = bbox$ymin
(bb <- c(ulx, uly, lrx, lry))

##        xmin        ymax        xmax        ymin 
## -8280954.30    17844.51 -7721766.56  -470706.55

Se va a usar gdal para descargar la capa vertorial, primeor le diremos a R de donde va a sacar la informacion:

sg_url="/vsicurl/https://files.isric.org/soilgrids/latest/data/"
datos = 'soc/soc_15-30cm_mean.vrt'
file = "soc_igh_15_30.tif"

gdal_translate(paste0(sg_url,datos), file ,
               tr=c(250,250),
              projwin=bb,
              projwin_srs =igh)

Mediante esta funcion traducimos las unidades en las que estan los datos por unidades mas digeribles. Dividiendo entre 10 porque es el factor de conversion indicado.

(amaz_soc <- terra::rast(file)/10)

## class       : SpatRaster 
## size        : 1955, 2237, 1  (nrow, ncol, nlyr)
## resolution  : 250, 250  (x, y)
## extent      : -8281000, -7721750, -470750, 18000  (xmin, xmax, ymin, ymax)
## coord. ref. : Interrupted_Goode_Homolosine 
## source(s)   : memory
## varname     : soc_igh_15_30 
## name        : soc_igh_15_30 
## min value   :           4.2 
## max value   :         551.8

Exploracion de datos

Empezaremos esta seccion con un histograma:

terra::hist(amaz_soc)

## Warning: [hist] a sample of 23% of the cells was used (of which 2% was NA)

Continuaremos con una mejora del histograma

crs(amaz_soc)

## [1] "PROJCRS[\"Interrupted_Goode_Homolosine\",\n    BASEGEOGCRS[\"GCS_WGS_1984_ellipse\",\n        DATUM[\"World Geodetic System 1984\",\n            ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n                LENGTHUNIT[\"metre\",1]],\n            ID[\"EPSG\",6326]],\n        PRIMEM[\"Greenwich\",0,\n            ANGLEUNIT[\"Degree\",0.0174532925199433]]],\n    CONVERSION[\"unnamed\",\n        METHOD[\"Interrupted Goode Homolosine\"],\n        PARAMETER[\"Longitude of natural origin\",0,\n            ANGLEUNIT[\"Degree\",0.0174532925199433],\n            ID[\"EPSG\",8802]],\n        PARAMETER[\"False easting\",0,\n            LENGTHUNIT[\"metre\",1],\n            ID[\"EPSG\",8806]],\n        PARAMETER[\"False northing\",0,\n            LENGTHUNIT[\"metre\",1],\n            ID[\"EPSG\",8807]]],\n    CS[Cartesian,2],\n        AXIS[\"(E)\",east,\n            ORDER[1],\n            LENGTHUNIT[\"metre\",1,\n                ID[\"EPSG\",9001]]],\n        AXIS[\"(N)\",north,\n            ORDER[2],\n            LENGTHUNIT[\"metre\",1,\n                ID[\"EPSG\",9001]]]]"

crs(amaz)

## [1] "GEOGCRS[\"WGS 84\",\n    ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n        MEMBER[\"World Geodetic System 1984 (Transit)\"],\n        MEMBER[\"World Geodetic System 1984 (G730)\"],\n        MEMBER[\"World Geodetic System 1984 (G873)\"],\n        MEMBER[\"World Geodetic System 1984 (G1150)\"],\n        MEMBER[\"World Geodetic System 1984 (G1674)\"],\n        MEMBER[\"World Geodetic System 1984 (G1762)\"],\n        MEMBER[\"World Geodetic System 1984 (G2139)\"],\n        MEMBER[\"World Geodetic System 1984 (G2296)\"],\n        ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n            LENGTHUNIT[\"metre\",1]],\n        ENSEMBLEACCURACY[2.0]],\n    PRIMEM[\"Greenwich\",0,\n        ANGLEUNIT[\"degree\",0.0174532925199433]],\n    CS[ellipsoidal,2],\n        AXIS[\"geodetic latitude (Lat)\",north,\n            ORDER[1],\n            ANGLEUNIT[\"degree\",0.0174532925199433]],\n        AXIS[\"geodetic longitude (Lon)\",east,\n            ORDER[2],\n            ANGLEUNIT[\"degree\",0.0174532925199433]],\n    USAGE[\n        SCOPE[\"Horizontal component of 3D system.\"],\n        AREA[\"World.\"],\n        BBOX[-90,-180,90,180]],\n    ID[\"EPSG\",4326]]"

terra::hist(amaz_soc,
  col = topo.colors(20),  # Como paleta elegimos esta multicolor
  main = "Distribución estándar del carbono orgánico del suelo",
  xlab = "(SOC)",
  ylab = "Frecuencia",
  border = "white"
)

## Warning: [hist] a sample of 23% of the cells was used (of which 2% was NA)

summary(amaz_soc)

##  soc_igh_15_30   
##  Min.   :  9.40  
##  1st Qu.: 20.40  
##  Median : 31.40  
##  Mean   : 54.89  
##  3rd Qu.: 61.30  
##  Max.   :523.30  
##  NA's   :1946

Cambiamos el nombre del atributo SOC:

(names(amaz_soc) <-  "soc")

## [1] "soc"

Empezamos con el ploteo, lo primero es agregar los valores de SOC a una variable:

valores <- values(amaz_soc, na.rm=TRUE)

Definimos como vamos a plotear (gama de color)

orangecyan <- colorNumeric(
  palette = brewer.pal(9, "YlGn"),  
  domain = values(amaz_soc),
  na.color = "transparent"
)

plot(
  amaz_soc,
  main = "Error estándar del carbono orgánico del suelo",
  col = topo.colors(25),   
  xlab = "Longitud",
  ylab = "Latitud"
)

Este fun un ploteo con terra, ahora se hara una proyecion de ploteo interactiva.

amaz_soc_small <- aggregate(amaz_soc, fact = 3, fun = mean)

orangecyan <- colorNumeric(
  palette = brewer.pal(9, "YlGn"),   # paleta marrón-verde
  domain = values(amaz_soc_small),
  na.color = "transparent"
)

leaflet::leaflet(amaz) %>%
  addTiles() %>%
  setView(lng = -74, lat = 6, zoom = 9) %>%
  addPolygons(
    data = amaz,
    color = "gray", weight = 1,
    smoothFactor = 0.5, opacity = 0.5,
    fillOpacity = 0.1,
    popup = paste("Municipio: ", amaz$NAME_2)
  ) %>%
  addRasterImage(
    amaz_soc_small,
    colors = orangecyan,
    opacity = 0.8,
    maxBytes = 10 * 1024 * 1024   # aumenta límite a 10 MB
  ) %>%
  addLegend(
    pal = orangecyan,
    values = values(amaz_soc_small),
    title = "Soil Organic Carbon (SOC) [g/kg]"
  )

Muestreo del mundo

Vamos a complementar con datos del SOC proyectando con terra

# change as needed
set.seed(123456)
# Conversion of SOC coordinate reference system
geog ="+proj=longlat +datum=WGS84"
(geog.soc = project(amaz_soc, geog))

## class       : SpatRaster 
## size        : 1961, 2261, 1  (nrow, ncol, nlyr)
## resolution  : 0.002239289, 0.002239289  (x, y)
## extent      : -74.42877, -69.36574, -4.22955, 0.1616968  (xmin, xmax, ymin, ymax)
## coord. ref. : +proj=longlat +datum=WGS84 +no_defs 
## source(s)   : memory
## name        :        soc 
## min value   :   7.054782 
## max value   : 539.974609

Esta línea convierte la tabla samples en un objeto espacial sf, agregando información de geometría (coordenadas) que permite visualizar y analizar los puntos de muestreo en un contexto geográfico.

(samples <- terra::spatSample(geog.soc, 2000, "random", as.points=TRUE))

##  class       : SpatVector 
##  geometry    : points 
##  dimensions  : 2000, 1  (geometries, attributes)
##  extent      : -74.41869, -69.36686, -4.22843, 0.1560985  (xmin, xmax, ymin, ymax)
##  coord. ref. : +proj=longlat +datum=WGS84 +no_defs 
##  names       :   soc
##  type        : <num>
##  values      : 131.9
##                42.21
##                21.64

(muestras <- sf::st_as_sf(samples))

## Simple feature collection with 2000 features and 1 field
## Geometry type: POINT
## Dimension:     XY
## Bounding box:  xmin: -74.41869 ymin: -4.22843 xmax: -69.36686 ymax: 0.1560985
## Geodetic CRS:  GEOGCRS["unknown",
##     DATUM["World Geodetic System 1984",
##         ELLIPSOID["WGS 84",6378137,298.257223563,
##             LENGTHUNIT["metre",1]],
##         ID["EPSG",6326]],
##     PRIMEM["Greenwich",0,
##         ANGLEUNIT["degree",0.0174532925199433],
##         ID["EPSG",8901]],
##     CS[ellipsoidal,2],
##         AXIS["longitude",east,
##             ORDER[1],
##             ANGLEUNIT["degree",0.0174532925199433,
##                 ID["EPSG",9122]]],
##         AXIS["latitude",north,
##             ORDER[2],
##             ANGLEUNIT["degree",0.0174532925199433,
##                 ID["EPSG",9122]]]]
## First 10 features:
##          soc                     geometry
## 1  131.89142  POINT (-74.12311 -2.264573)
## 2   42.21056  POINT (-71.86143 -2.224266)
## 3   21.64252   POINT (-70.9254 -2.412367)
## 4   16.85725 POINT (-69.75649 -0.3678952)
## 5   24.30834  POINT (-70.36558 -2.640774)
## 6         NA  POINT (-74.24403 -2.295923)
## 7   81.27006 POINT (-74.23955 -0.6970708)
## 8   41.32643  POINT (-71.00378 -2.913967)
## 9   40.38351  POINT (-72.45932 -1.321833)
## 10 191.00929  POINT (-73.67749 -3.829837)

Vamos a omitir los valores N/A

nmuestras <- na.omit(muestras)

Ahora se limpia sin incluir los datos vacios

longit <- st_coordinates(nmuestras)[,1]
latit <- st_coordinates(nmuestras)[,2]
soc <- nmuestras$soc

summary(soc)

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   10.29   20.95   30.95   54.27   59.16  477.26

length(soc)

## [1] 1953

id <- seq(1,1953,1)
(sitios <- data.frame(id, longit, latit, soc))

##        id    longit        latit       soc
## 1       1 -74.12311 -2.264573416 131.89142
## 2       2 -71.86143 -2.224266206  42.21056
## 3       3 -70.92540 -2.412366523  21.64252
## 4       4 -69.75649 -0.367895214  16.85725
## 5       5 -70.36558 -2.640774052  24.30834
## 6       6 -74.23955 -0.697070770  81.27006
## 7       7 -71.00378 -2.913967370  41.32643
## 8       8 -72.45932 -1.321832539  40.38351
## 9       9 -73.67749 -3.829836773 191.00929
## 10     10 -72.78849 -2.501938103  60.83062
## 11     11 -72.53769 -2.134694626  38.73779
## 12     12 -71.20531 -1.747297543  42.24107
## 13     13 -73.89470 -0.249212871  32.08010
## 14     14 -70.40141 -1.268089591  12.72023
## 15     15 -70.10582 -3.563361323  21.61522
## 16     16 -73.86559 -3.556643455 113.41549
## 17     17 -73.95964 -2.448195155  98.33260
## 18     18 -73.37295 -3.928365511  33.32363
## 19     19 -71.62182 -1.548000778  15.37200
## 20     20 -73.06168 -2.898292343 138.09731
## 21     21 -70.54696 -1.776408307  14.90260
## 22     22 -72.39662 -3.097589109 110.37090
## 23     23 -70.83359 -2.519852419  23.17030
## 24     24 -72.49291 -0.809035245  16.49020
## 25     25 -73.54313 -1.241218117  27.11321
## 26     26 -70.54696 -3.057281898  24.03125
## 27     27 -73.04377 -2.401170076  58.84877
## 28     28 -72.07864 -1.091185721  16.69843
## 29     29 -74.07608 -3.908211906 191.69693
## 30     30 -70.98586 -3.173724951  60.54898
## 31     31 -71.64869 -0.276084345  24.88160
## 32     32 -73.62151 -0.464184663  26.65634
## 33     33 -69.87294 -0.856060324  22.74160
## 34     34 -71.78305 -0.298477240  29.63084
## 35     35 -73.70660 -0.016326764  24.63416
## 36     36 -72.30928 -1.012810589  12.31437
## 37     37 -70.82016 -0.898606825  14.55880
## 38     38 -73.63494 -2.336230680  69.02351
## 39     39 -73.83424 -2.909488791 128.63809
## 40     40 -71.88158 -0.629892085  13.56840
## 41     41 -69.96251 -4.067201460  23.56152
## 42     42 -73.05721  0.104594869  14.00698
## 43     43 -69.40492 -3.742504483  28.96908
## 44     44 -69.86174 -1.422600566  18.19421
## 45     45 -73.17589 -2.365341444  88.33170
## 46     46 -70.97467 -2.405648655  39.37926
## 47     47 -73.58792 -2.638534762  72.09956
## 48     48 -73.85439 -0.909803272  42.69925
## 49     49 -71.73826 -0.141726975  18.89178
## 50     50 -72.35855 -2.291444890  42.26053
## 51     51 -71.12246 -3.818640326  78.20931
## 52     52 -71.52553 -3.592472087  75.45242
## 53     53 -72.97883 -3.706675851 175.27565
## 54     54 -72.86687 -1.169560854  33.48351
## 55     55 -74.36719 -1.006092720  47.58093
## 56     56 -69.50793 -3.834315352  17.71537
## 57     57 -72.12342 -3.119982003  76.06644
## 58     58 -69.65349 -0.043198238  31.92682
## 59     59 -70.19987 -4.161251619  47.93471
## 60     60 -71.45611 -3.583514929  28.71157
## 61     61 -72.90941 -0.014087474  14.28888
## 62     62 -72.09207 -0.188752055  25.33869
## 63     63 -71.20084 -2.533288156  25.41703
## 64     64 -71.09783 -3.001299660 112.47547
## 65     65 -69.49450 -2.024969441  14.21017
## 66     66 -70.56264 -4.118705118  28.09582
## 67     67 -71.26354 -0.641088533  36.65137
## 68     68 -72.34735 -3.274492979 155.96700
## 69     69 -71.58599 -0.224580687  33.08247
## 70     70 -72.08312 -2.195155442  36.08293
## 71     71 -72.70788 -2.506416682  44.01306
## 72     72 -74.35823 -1.554718647  46.22546
## 73     73 -70.26033 -0.963546220  28.44086
## 74     74 -73.09303 -3.249860794 156.22574
## 75     75 -69.55272 -2.931881686  81.29177
## 76     76 -70.06552 -3.008017529  26.41775
## 77     77 -70.86494 -2.893813765  36.57765
## 78     78 -69.77889 -1.135971511  21.00126
## 79     79 -70.88957 -1.805519070  24.90875
## 80     80 -69.73186 -2.526570287  21.36692
## 81     81 -71.89725 -1.530086462  23.41952
## 82     82 -73.86111 -1.391250514  22.86999
## 83     83 -74.28210 -2.862463712 131.44308
## 84     84 -72.72803 -3.016974687 151.42386
## 85     85 -73.69092 -3.476029033 161.37917
## 86     86 -71.91965 -4.006740643 154.88452
## 87     87 -71.17172 -2.947556712  31.80081
## 88     88 -74.14326 -3.720111588 144.02774
## 89     89 -74.13878 -2.983385344 105.22736
## 90     90 -73.28337 -2.143651784  85.74006
## 91     91 -71.29936 -3.505139797  43.65702
## 92     92 -72.51082 -2.631816894  17.09480
## 93     93 -70.04536 -0.697070770  45.28216
## 94     94 -72.37646 -3.370782427 140.34276
## 95     95 -71.28817 -2.766174263  31.85713
## 96     96 -72.41005 -1.297200355  27.42578
## 97     97 -73.21843 -2.813199343  99.00570
## 98     98 -71.08215 -2.786327869  45.57706
## 99     99 -69.68036  0.026219737  11.96060
## 100   100 -71.87710 -3.487225481 110.57835
## 101   101 -72.25106 -3.464832586 148.98990
## 102   102 -72.75042 -1.021767747  36.07417
## 103   103 -72.64966 -1.993619388  32.92059
## 104   104 -72.10327 -2.658688368  31.49121
## 105   105 -70.64549 -4.188123093  24.13458
## 106   106 -70.39693  0.104594869  11.35022
## 107   107 -70.21331 -3.021453266  58.24271
## 108   108 -70.36334 -1.586068700  12.87603
## 109   109 -69.81471 -3.460354007  28.91168
## 110   110 -69.75201 -2.759456395  19.35286
## 111   111 -73.43117 -0.135009107  14.57957
## 112   112 -70.52681  0.095637711  20.87642
## 113   113 -70.61638 -0.714985086  29.24896
## 114   114 -69.72066 -0.076787580  12.24515
## 115   115 -69.38701 -0.457466794  34.97448
## 116   116 -74.29329 -1.711468911  42.60187
## 117   117 -73.16917 -3.498421928 219.00967
## 118   118 -73.23859 -0.918760430  17.51565
## 119   119 -72.22867 -4.015697801 105.85169
## 120   120 -73.75139 -3.746983062 283.77493
## 121   121 -71.53001 -0.858299614  27.13433
## 122   122 -73.29009 -3.388696743 123.68746
## 123   123 -70.19092 -3.802965299  20.27592
## 124   124 -71.01273 -2.533288156  31.47980
## 125   125 -69.45867 -0.444031057  27.34405
## 126   126 -71.18740 -3.388696743  76.97328
## 127   127 -72.24210 -2.490741655  37.58130
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## 780   780 -71.89501 -2.105583862  36.07881
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## 783   783 -72.14358 -1.203150196  26.56571
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## 785   785 -73.87231 -2.215309048  55.17935
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## 787   787 -69.59079 -0.363416635  43.59005
## 788   788 -71.73826 -3.305843032 120.37456
## 789   789 -70.41484 -1.917483545  36.15871
## 790   790 -71.52105 -0.876213930  17.79928
## 791   791 -74.21492 -2.080951678 100.82475
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## 799   799 -70.79328 -1.870458465  17.64033
## 800   800 -70.28273 -2.775131421  41.95776
## 801   801 -74.08952 -1.648768805  22.14901
## 802   802 -71.18068 -1.250175275  49.62399
## 803   803 -70.75074 -0.448509636  31.80625
## 804   804 -71.99578 -4.138858724 163.78983
## 805   805 -69.51913 -1.668922411  14.80517
## 806   806 -72.41229 -3.312560900 192.24403
## 807   807 -71.63526 -2.157087521  24.99083
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## 811   811 -71.45835 -3.529771981  41.12551
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## 813   813 -74.01338 -3.314800190 142.61681
## 814   814 -72.48395 -1.680118858  24.36180
## 815   815 -70.56712 -2.562398919  19.12173
## 816   816 -74.33360 -1.991380098  78.04440
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## 818   818 -69.56168 -2.412366523  12.04235
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## 821   821 -72.61831 -1.998097967  30.60275
## 822   822 -71.37326 -3.019213976  37.46148
## 823   823 -72.41005 -2.233223364  41.82962
## 824   824 -71.91965 -2.284727022  67.04829
## 825   825 -69.91100 -1.476343514  45.05436
## 826   826 -70.38797 -2.698995578  27.13188
## 827   827 -71.07767 -3.175964241 127.58627
## 828   828 -70.68132 -0.161880581  36.85765
## 829   829 -70.04536 -2.311598496  18.64817
## 830   830 -69.39149 -2.445955866  17.99916
## 831   831 -73.57224 -0.759770876  28.73972
## 832   832 -70.25138 -3.581275639  18.38249
## 833   833 -71.29712 -2.925163817  24.78695
## 834   834 -69.51913 -4.024654959  23.94518
## 835   835 -73.42669 -1.203150196  19.64250
## 836   836 -70.56488 -3.514096955  29.59168
## 837   837 -71.95100  0.120269895  12.97457
## 838   838 -73.69764 -3.395414611 238.49059
## 839   839 -72.94748 -3.346150242 171.07187
## 840   840 -70.48426 -3.059521187  25.15776
## 841   841 -73.93725 -0.654524270  32.06630
## 842   842 -71.54792 -2.788567158  21.79262
## 843   843 -74.08056 -1.254653854  28.41413
## 844   844 -70.03417 -0.309673688  18.61039
## 845   845 -71.76514 -0.291759372  23.14778
## 846   846 -73.61927 -0.217862818  22.30363
## 847   847 -69.69379 -1.642050937  14.17725
## 848   848 -71.17620 -0.040958948  24.00685
## 849   849 -71.04408 -4.026894249  17.01674
## 850   850 -71.48746 -3.019213976  40.78009
## 851   851 -72.14805  0.071005527  14.22290
## 852   852 -70.36782 -0.291759372  24.08408
## 853   853 -69.68484 -2.239941232  25.29064
## 854   854 -71.12470 -0.155162712  29.47611
## 855   855 -69.49674 -0.238016424  33.66139
## 856   856 -72.13014  0.048612632  13.71603
## 857   857 -71.47627 -0.126051949  27.03520
## 858   858 -73.59464 -2.846788685 119.96358
## 859   859 -73.25650 -0.426116741  18.68470
## 860   860 -72.98331 -1.120296485  20.70169
## 861   861 -74.02010 -0.791120929  34.37291
## 862   862 -72.60711 -1.436036303  21.35724
## 863   863 -69.53928 -3.617104271  57.77090
## 864   864 -73.58568  0.104594869  27.61290
## 865   865 -71.03513 -2.105583862  23.61901
## 866   866 -72.99675 -2.383255760  73.57908
## 867   867 -70.46635 -1.612940173  14.83293
## 868   868 -71.07320 -0.170837739  27.32643
## 869   869 -71.31952 -4.226191014  36.27813
## 870   870 -73.42445 -4.170208777 262.78656
## 871   871 -70.68804 -1.872697755  16.61987
## 872   872 -73.09975 -1.429318435  32.30392
## 873   873 -71.07991 -0.925478299  41.30138
## 874   874 -72.68101 -0.419398873  19.99957
## 875   875 -70.83135 -1.216585933  12.67811
## 876   876 -70.98362 -2.916206659  38.23213
## 877   877 -73.31025 -1.182996590  21.03247
## 878   878 -69.44747 -4.136619434  24.65130
## 879   879 -70.88286 -3.903733327  49.55932
## 880   880 -72.78401 -0.549277663  18.09320
## 881   881 -72.36303 -2.665406236  43.68028
## 882   882 -72.11894 -4.026894249 133.95100
## 883   883 -72.12342 -0.276084345  15.89677
## 884   884 -73.22739 -3.467071875 123.46957
## 885   885 -73.64390 -4.011219222 210.37025
## 886   886 -73.10423 -0.822470982  13.67836
## 887   887 -70.50218 -1.413643408  22.84397
## 888   888 -69.94235 -3.155810635  32.25458
## 889   889 -74.34928 -4.040329986 357.89771
## 890   890 -73.84768 -4.100790802 255.21036
## 891   891 -71.26130 -0.603020611  38.18537
## 892   892 -73.70660 -1.982422940  39.68943
## 893   893 -74.02682 -0.887410377  46.91816
## 894   894 -74.38958 -2.457152313 123.35738
## 895   895 -74.30897  0.053091211  38.15314
## 896   896 -73.00122 -3.646215035 103.88022
## 897   897 -70.44172 -0.766488744  17.62365
## 898   898 -70.01401 -4.047047854  13.46496
## 899   899 -70.30288 -1.530086462  30.23486
## 900   900 -72.63846 -1.122535774  33.05516
## 901   901 -71.70691 -0.063351843  21.36916
## 902   902 -71.35759 -2.660927657  26.55005
## 903   903 -69.53256 -1.003853431  27.42049
## 904   904 -69.42284 -0.871735351  38.66148
## 905   905 -70.02073 -1.834629833  14.52174
## 906   906 -72.42573 -2.645252631  28.91876
## 907   907 -73.66853 -1.442754172  24.00335
## 908   908 -73.02362 -4.051526433 138.03551
## 909   909 -71.99578 -0.699310060  22.71835
## 910   910 -71.72483 -1.689076016  14.48527
## 911   911 -69.85950 -2.208591179  23.80399
## 912   912 -72.27345 -3.563361323 116.38120
## 913   913 -73.32144 -2.846788685 143.88744
## 914   914 -69.81248 -0.535841926  11.95367
## 915   915 -72.02265 -3.415568217  46.78602
## 916   916 -72.89822 -2.040644467  44.23837
## 917   917 -70.19315 -1.442754172  13.61914
## 918   918 -71.04185 -3.075196214  39.78824
## 919   919 -73.49835 -2.466109471 130.12115
## 920   920 -73.03481 -1.359900461  45.15085
## 921   921 -72.36974 -2.665406236  34.81614
## 922   922 -74.28882 -2.230984074 114.76620
## 923   923 -72.66533 -2.383255760  66.73107
## 924   924 -71.81440 -4.064962170  91.71260
## 925   925 -69.52361 -3.576797060  38.64310
## 926   926 -70.30512 -3.888058300  23.92328
## 927   927 -71.46059 -3.894776169  19.59067
## 928   928 -72.17269  0.075484106  18.66383
## 929   929 -70.44396 -2.105583862  25.03733
## 930   930 -71.34415 -2.631816894  34.92018
## 931   931 -69.99834 -2.784088579  30.60127
## 932   932 -71.44044 -0.475381110  24.94616
## 933   933 -71.05752 -2.956513870  33.33855
## 934   934 -73.15350 -2.325034233  78.87518
## 935   935 -72.35631 -2.192916153  49.80757
## 936   936 -73.77826 -3.993304906 171.22589
## 937   937 -72.71907 -0.788881639  15.17958
## 938   938 -74.29777 -0.432834610  30.78727
## 939   939 -74.02010 -0.943392615  68.07099
## 940   940 -73.17141 -2.922924528 150.72678
## 941   941 -70.61862 -0.220102108  30.47409
## 942   942 -70.71491 -4.143337303  52.88673
## 943   943 -70.43948 -0.793360218  34.08663
## 944   944 -69.40269 -1.998097967  15.29081
## 945   945 -72.54665 -2.484023787  89.21935
## 946   946 -73.39086 -0.372373793  22.47658
## 947   947 -70.95899 -0.099180475  17.85504
## 948   948 -70.23570 -0.920999720  37.85179
## 949   949 -71.16053 -2.358623575  43.55690
## 950   950 -71.26354 -1.467386356  35.45264
## 951   951 -73.31920 -3.184921399 165.75703
## 952   952 -71.34863 -2.311598496  15.08342
## 953   953 -70.10358 -1.630854489  21.55141
## 954   954 -72.09431 -1.758493991  18.13761
## 955   955 -72.96092 -0.961306930  12.87995
## 956   956 -70.02969 -2.631816894  45.46844
## 957   957 -72.14134 -0.356698767  19.35349
## 958   958 -72.35631 -0.500013295  11.41333
## 959   959 -70.59175 -1.277046749  16.21728
## 960   960 -73.39982 -3.605907824 130.37029
## 961   961 -73.37071 -3.330475216 258.08380
## 962   962 -73.99771 -0.464184663  26.86914
## 963   963 -70.19092 -3.334953795  27.11252
## 964   964 -70.63429 -1.550240068  11.42018
## 965   965 -70.91197 -1.948833598  21.95625
## 966   966 -72.85343 -3.961954854 165.97366
## 967   967 -73.69540 -2.246659101  66.64093
## 968   968 -71.61734 -1.942115729  28.25960
## 969   969 -73.95516 -3.050564029 145.05707
## 970   970 -73.42221 -3.744743773  70.15270
## 971   971 -72.67877 -3.890297590 159.55093
## 972   972 -73.78274 -4.020176380 194.23309
## 973   973 -69.89085 -0.365655925  20.16733
## 974   974 -70.70595 -1.236739538  18.83923
## 975   975 -72.30033 -2.575834656  38.66543
## 976   976 -74.05593 -3.097589109 138.98334
## 977   977 -71.76738 -1.827911965  20.84574
## 978   978 -70.40813 -3.240903636  17.59798
## 979   979 -70.64773 -2.806481474  48.36491
## 980   980 -71.37102 -0.735138692  26.74245
## 981   981 -70.77089 -0.656763559  22.99380
## 982   982 -74.02010  0.055330500  24.52186
## 983   983 -69.38029 -0.224580687  21.71052
## 984   984 -72.23091  0.037416184  22.86526
## 985   985 -70.57383 -3.809683168  53.32067
## 986   986 -71.57480 -1.162842985  43.22867
## 987   987 -71.55464  0.079962685  18.14570
## 988   988 -73.64390 -3.579036350 132.56700
## 989   989 -71.98235 -2.255616258  35.71144
## 990   990 -74.36719 -1.149407248  26.90273
## 991   991 -72.67205 -1.599504437  21.98444
## 992   992 -72.76162 -0.636609954  20.24435
## 993   993 -73.45132 -3.926126222 119.97547
## 994   994 -72.58696 -1.227782380  26.69677
## 995   995 -72.44588  0.021741158  25.96533
## 996   996 -72.54889 -3.359585979 176.85419
## 997   997 -69.47882 -0.164119870  11.31035
## 998   998 -74.33808 -3.254339373 132.80823
## 999   999 -71.62854 -0.654524270  14.86496
## 1000 1000 -71.44044 -2.900531633  51.26075
## 1001 1001 -69.48554 -1.760733280  16.38011
## 1002 1002 -70.30512 -3.061760477  21.80555
## 1003 1003 -73.78498 -3.538729139 212.39391
## 1004 1004 -71.30832 -2.524330998  25.42380
## 1005 1005 -70.98138 -0.399245267  21.11363
## 1006 1006 -69.80128 -1.536804331  26.41226
## 1007 1007 -69.42508 -4.138858724  34.54013
## 1008 1008 -72.50858 -2.356384286 110.66219
## 1009 1009 -71.78305 -2.945317423  89.97455
## 1010 1010 -73.24531 -1.127014353  16.25347
## 1011 1011 -69.63781 -1.500975699  13.88760
## 1012 1012 -70.40589 -3.988826327  14.93895
## 1013 1013 -70.45515 -3.337193084  17.12243
## 1014 1014 -70.54024 -1.409164829  11.97843
## 1015 1015 -70.22898 -1.740579675  15.33042
## 1016 1016 -72.75938 -4.203798119 131.76299
## 1017 1017 -72.22195 -3.702197272 113.25842
## 1018 1018 -72.00698 -1.299439644  30.57296
## 1019 1019 -72.06520 -2.913967370  54.07194
## 1020 1020 -72.32272 -0.414920294  15.04162
## 1021 1021 -70.70371 -2.318316364  18.20953
## 1022 1022 -70.71715 -2.466109471  13.79787
## 1023 1023 -70.36110 -3.444678980  15.14585
## 1024 1024 -73.11767 -0.428356031  13.52043
## 1025 1025 -71.64421 -1.207628775  24.36973
## 1026 1026 -72.14134 -1.993619388  22.42908
## 1027 1027 -70.91197 -3.135657030  77.03411
## 1028 1028 -69.55048 -3.102067688  11.77901
## 1029 1029 -70.60742 -3.171485662  27.32979
## 1030 1030 -72.07192 -3.108785556  77.25877
## 1031 1031 -72.48843 -1.883894202  13.80777
## 1032 1032 -73.66629 -1.156125117  18.28359
## 1033 1033 -72.45036 -1.603983016  27.28797
## 1034 1034 -74.25299 -3.314800190  92.24795
## 1035 1035 -72.66085 -3.200596425 135.59077
## 1036 1036 -71.16277 -3.693240114  37.96293
## 1037 1037 -73.12438 -2.710192026 168.16776
## 1038 1038 -73.75139 -2.985624634 129.09055
## 1039 1039 -71.50762 -1.689076016  19.51315
## 1040 1040 -73.33040 -3.341671663 263.94351
## 1041 1041 -72.81312 -3.838793931 142.54562
## 1042 1042 -72.92509 -0.650045691  14.98102
## 1043 1043 -70.21779 -1.100142879  13.55479
## 1044 1044 -73.39982 -2.775131421 161.02528
## 1045 1045 -72.68772 -3.113264135 155.31209
## 1046 1046 -69.73634 -2.540006024  38.61847
## 1047 1047 -73.80737 -0.296237951  20.94566
## 1048 1048 -72.34511 -2.407887944  21.09765
## 1049 1049 -72.36079 -3.888058300  91.83450
## 1050 1050 -72.54665 -3.140135609 162.39893
## 1051 1051 -71.01050 -1.738340385  75.83320
## 1052 1052 -73.22963 -2.159326810  87.50954
## 1053 1053 -73.16469 -4.087355065 145.73804
## 1054 1054 -69.71395 -1.321832539  16.21617
## 1055 1055 -73.44012 -3.509618376  82.89932
## 1056 1056 -72.93628 -0.484338268  16.37872
## 1057 1057 -73.20052 -0.114855501  28.40990
## 1058 1058 -71.37550 -0.173077028  26.98771
## 1059 1059 -73.53641  0.017262579  19.83452
## 1060 1060 -74.05369 -1.635333068  47.04947
## 1061 1061 -69.62661 -0.475381110  40.86460
## 1062 1062 -71.14709 -3.122221293 147.59959
## 1063 1063 -74.04697 -2.450434445  91.66785
## 1064 1064 -71.61958 -0.842624587  13.00969
## 1065 1065 -72.69444 -0.491056137  20.06269
## 1066 1066 -70.38126 -0.179794897  17.33676
## 1067 1067 -70.20659 -3.214032162  27.61272
## 1068 1068 -70.67908 -3.122221293  48.00771
## 1069 1069 -72.60935 -1.859262018  32.16734
## 1070 1070 -72.71683 -4.181405224 113.95681
## 1071 1071 -71.57480 -2.358623575  33.20966
## 1072 1072 -73.44908 -1.926440703  22.46018
## 1073 1073 -72.75042 -0.336545161  14.45223
## 1074 1074 -71.79873 -3.160289214  87.11108
## 1075 1075 -73.44460 -2.649731210 195.49283
## 1076 1076 -72.28017 -0.560474111  13.21999
## 1077 1077 -72.96540 -0.824710271  16.04540
## 1078 1078 -73.50954 -2.251137680  75.50771
## 1079 1079 -69.56839 -2.889335186  24.34986
## 1080 1080 -71.80096 -1.308396802  40.28070
## 1081 1081 -73.00122 -0.246973582  13.26067
## 1082 1082 -73.80065 -3.395414611 145.41624
## 1083 1083 -73.60583 -1.615179463  14.64840
## 1084 1084 -70.23570 -0.117094791  10.66401
## 1085 1085 -71.10455 -0.956828352  13.60118
## 1086 1086 -72.52426 -0.681395744  12.26356
## 1087 1087 -70.82911 -2.260094837  27.05664
## 1088 1088 -70.91197 -2.660927657  54.64042
## 1089 1089 -73.79169  0.026219737  24.46170
## 1090 1090 -71.78977 -0.903085404  11.27200
## 1091 1091 -69.42284 -4.033612117  18.52775
## 1092 1092 -73.95740 -3.238664347 136.13528
## 1093 1093 -70.07895 -2.555681051  31.12824
## 1094 1094 -73.74467 -1.572632963  35.69253
## 1095 1095 -73.73123 -3.126699872 189.09370
## 1096 1096 -71.33295 -0.166359160  24.31075
## 1097 1097 -70.43500 -3.982108459  33.76075
## 1098 1098 -72.99675 -3.079674793 192.29076
## 1099 1099 -73.07512  0.135944922  20.14560
## 1100 1100 -74.32688 -1.003853431  62.94550
## 1101 1101 -71.18292 -0.853821035  29.61463
## 1102 1102 -72.85791 -0.394766688  13.69544
## 1103 1103 -70.04312 -0.777685192  32.43636
## 1104 1104 -73.60807 -2.130216047  73.08165
## 1105 1105 -73.79617 -1.153885827  34.36328
## 1106 1106 -69.69155 -0.307434398  18.80312
## 1107 1107 -69.68036 -3.982108459  38.75708
## 1108 1108 -69.79008 -1.883894202  14.48580
## 1109 1109 -69.53480 -2.293684180  14.30136
## 1110 1110 -69.91996 -1.848065570  17.26134
## 1111 1111 -72.69892 -2.826635080  82.74572
## 1112 1112 -72.77058 -3.556643455 132.95845
## 1113 1113 -70.80000 -1.863740597  11.04363
## 1114 1114 -72.43692 -2.401170076  32.54858
## 1115 1115 -73.38190 -0.500013295  28.17376
## 1116 1116 -72.60935 -2.902770922  64.90403
## 1117 1117 -74.30225 -0.535841926  20.09982
## 1118 1118 -73.85215 -2.481784497 133.98540
## 1119 1119 -73.86783 -1.106860748  31.05402
## 1120 1120 -74.33360 -3.155810635 114.81219
## 1121 1121 -72.85791 -3.802965299 184.73787
## 1122 1122 -72.83328 -3.296885874 142.40233
## 1123 1123 -71.64645 -1.946594308  30.86254
## 1124 1124 -71.63302 -1.209868064  28.06910
## 1125 1125 -72.60711 -3.670847219 142.70197
## 1126 1126 -71.18292 -3.832076063  40.41913
## 1127 1127 -71.50538 -3.572318481 119.95230
## 1128 1128 -73.90142 -3.256578663 251.18074
## 1129 1129 -73.35055 -0.038719659  20.30251
## 1130 1130 -69.66020 -1.657725963  31.05717
## 1131 1131 -69.45419 -1.368857619  17.08191
## 1132 1132 -71.63526 -0.161880581  25.37490
## 1133 1133 -72.89822 -4.183644514 133.29237
## 1134 1134 -69.72066 -3.957476275  21.73179
## 1135 1135 -70.43948 -1.050878510  11.95491
## 1136 1136 -72.60935 -3.834315352 101.05157
## 1137 1137 -73.68869 -0.824710271  25.93273
## 1138 1138 -71.63302 -1.803279781  24.38261
## 1139 1139 -70.81792  0.082201974  33.38131
## 1140 1140 -69.78336 -2.195155442  16.46317
## 1141 1141 -73.04825 -1.805519070  15.46865
## 1142 1142 -72.64518 -3.827597484 171.35576
## 1143 1143 -72.12566 -1.879415623  26.34714
## 1144 1144 -73.48267 -2.307119917  66.59612
## 1145 1145 -71.55912 -0.535841926  15.84638
## 1146 1146 -70.87614 -3.487225481  39.10758
## 1147 1147 -69.79904 -0.813513824  13.94171
## 1148 1148 -72.88702 -2.562398919  52.22557
## 1149 1149 -71.28593  0.062048369  33.20119
## 1150 1150 -70.75522 -2.107823152  13.82053
## 1151 1151 -73.14230 -1.556957936  19.76424
## 1152 1152 -71.15829 -2.295923469  22.92982
## 1153 1153 -70.91868 -1.109100037  13.39601
## 1154 1154 -70.01177 -0.202187792  31.96569
## 1155 1155 -74.23283 -3.016974687 109.48503
## 1156 1156 -73.26770 -1.429318435  29.80458
## 1157 1157 -74.20596 -0.824710271  74.13481
## 1158 1158 -73.13110 -1.001614141  16.90157
## 1159 1159 -73.54089 -3.169246372 260.48859
## 1160 1160 -69.85054 -2.018251572  32.98957
## 1161 1161 -72.55337 -2.210830469  31.20420
## 1162 1162 -74.17685 -0.148444844  32.36311
## 1163 1163 -70.47531 -1.666683121  12.26330
## 1164 1164 -70.01625 -3.274492979  15.79091
## 1165 1165 -73.35279 -1.845826281  30.51250
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## 1299 1299 -74.15670 -1.039682063  41.97075
## 1300 1300 -70.10806 -3.462593296  25.87922
## 1301 1301 -72.41901 -4.047047854 118.50777
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## 1305 1305 -72.50410 -0.690352902  22.91025
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## 1309 1309 -70.36782 -2.349666417  17.74952
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## 1311 1311 -71.80992 -1.483061383  55.62451
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## 1314 1314 -73.63718 -0.112616212  16.92416
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## 1317 1317 -71.56136  0.028459026  19.07345
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## 1320 1320 -72.62502 -2.450434445  49.24540
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## 1323 1323 -72.49738 -3.182682109 133.66350
## 1324 1324 -69.38701 -0.016326764  31.30383
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## 1327 1327 -71.72931 -0.094701896  18.87600
## 1328 1328 -73.83200 -2.163805389  54.38260
## 1329 1329 -70.06104 -3.982108459  27.74763
## 1330 1330 -72.30480 -0.976981957  14.94900
## 1331 1331 -72.33392 -1.691315306  23.80154
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## 1333 1333 -70.67684 -3.677565088  43.95768
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## 1335 1335 -73.01242 -3.520814823  60.17673
## 1336 1336 -70.30512 -1.991380098  46.32454
## 1337 1337 -71.59943 -4.210515987  63.12424
## 1338 1338 -71.90173 -4.109747960  56.26346
## 1339 1339 -71.56360 -1.745058254  19.01375
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## 1344 1344 -71.39789 -3.986587038  22.15798
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## 1347 1347 -73.87679 -2.466109471 167.07843
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## 1350 1350 -73.08408 -1.599504437  20.13285
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## 1352 1352 -72.42125 -2.112301731  40.39506
## 1353 1353 -70.36558 -2.967710318  20.48807
## 1354 1354 -72.01370 -3.926126222 117.41449
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## 1359 1359 -70.13269 -3.619343561  28.24140
## 1360 1360 -72.61159 -3.811922457 136.64452
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## 1363 1363 -69.89757 -3.852229668  20.12128
## 1364 1364 -70.67908 -2.613902578  42.96281
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## 1369 1369 -69.46986 -2.544484603  17.01088
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## 1373 1373 -73.37742 -2.936360265 114.33803
## 1374 1374 -73.82528 -2.428041550 179.10017
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## 1376 1376 -70.99930 -1.787604754  51.85539
## 1377 1377 -73.06392 -1.234500249  13.81708
## 1378 1378 -71.50538 -1.953312177  35.21164
## 1379 1379 -71.43148 -2.051840914  34.89925
## 1380 1380 -70.58503 -1.279286039  15.80863
## 1381 1381 -73.83648 -3.899254748  96.79855
## 1382 1382 -70.11254 -2.701234868  40.55004
## 1383 1383 -74.11639 -2.208591179  86.99123
## 1384 1384 -72.97659 -3.453636138 161.35800
## 1385 1385 -72.25106 -0.847103166  14.10659
## 1386 1386 -71.60391 -3.724590167  51.54736
## 1387 1387 -72.23315 -1.913004966  24.50169
## 1388 1388 -73.45356 -0.681395744  28.80434
## 1389 1389 -71.39117 -2.808720764  30.05974
## 1390 1390 -73.74019 -3.016974687 152.22961
## 1391 1391 -69.82367 -0.882931798  52.03942
## 1392 1392 -70.53129 -2.985624634  25.70301
## 1393 1393 -70.33871 -1.556957936  12.64547
## 1394 1394 -73.33488  0.097877001  27.33159
## 1395 1395 -70.97243 -0.676917165  21.99154
## 1396 1396 -69.96475 -2.360862865  32.94707
## 1397 1397 -70.80896 -0.065591133  21.59364
## 1398 1398 -70.40813 -3.379739585  20.12476
## 1399 1399 -74.33360 -0.255930740  30.55722
## 1400 1400 -71.21875 -0.435073899  24.17759
## 1401 1401 -74.00219 -1.368857619  49.58562
## 1402 1402 -70.21555 -3.518575534  39.90871
## 1403 1403 -71.77185 -2.593748972  25.14057
## 1404 1404 -73.42669 -1.395729092  22.99998
## 1405 1405 -73.89022 -0.267127187  29.50573
## 1406 1406 -73.11543 -3.518575534 167.20164
## 1407 1407 -73.10199 -3.986587038 134.31415
## 1408 1408 -71.09111 -1.924201413  25.72392
## 1409 1409 -70.37230 -4.031372828  50.17720
## 1410 1410 -70.41708 -2.329512812  19.10397
## 1411 1411 -72.33839 -3.446918270 194.34056
## 1412 1412 -72.71459 -2.130216047  16.73302
## 1413 1413 -71.17620 -3.417807506  29.54883
## 1414 1414 -74.31345 -3.823118905 150.13095
## 1415 1415 -71.58151 -2.157087521  47.95929
## 1416 1416 -73.00346 -1.406925540  41.23471
## 1417 1417 -71.92860 -0.916521141  23.53864
## 1418 1418 -71.36654 -2.246659101  65.58199
## 1419 1419 -71.11574 -0.325348714  36.52498
## 1420 1420 -70.10358 -2.719149184  35.05895
## 1421 1421 -70.15285 -3.102067688  37.39657
## 1422 1422 -70.73954 -0.992656983  13.79407
## 1423 1423 -70.29168 -3.117742714  24.36574
## 1424 1424 -70.52233 -2.186198284  25.11623
## 1425 1425 -70.79328 -1.740579675  17.70292
## 1426 1426 -69.65125 -2.262334127  15.09274
## 1427 1427 -72.36079 -2.974428186 164.62082
## 1428 1428 -73.26994 -2.934120975 193.46278
## 1429 1429 -72.00698 -3.375261006 118.01869
## 1430 1430 -70.59175 -3.984347748  23.54696
## 1431 1431 -70.19763 -1.877176334  38.65022
## 1432 1432 -72.70116 -2.188437574  18.47337
## 1433 1433 -71.76066  0.068766237  15.57843
## 1434 1434 -69.61094 -0.374613083  40.96468
## 1435 1435 -72.95196 -4.221712435 191.93265
## 1436 1436 -69.81024 -1.151646538  27.12045
## 1437 1437 -73.91485 -1.460668488  29.10679
## 1438 1438 -71.57032 -2.356384286  27.82907
## 1439 1439 -74.38958 -2.972188897  78.96346
## 1440 1440 -71.71139 -2.584791814  18.88231
## 1441 1441 -71.04632 -3.126699872  32.13386
## 1442 1442 -72.03833 -3.193878557 180.50021
## 1443 1443 -73.64838 -1.411404119  29.71077
## 1444 1444 -71.64421 -4.223951724  71.13276
## 1445 1445 -73.26770 -0.965785509  24.30797
## 1446 1446 -70.46859 -1.494257830  39.84254
## 1447 1447 -73.11543 -3.995544196 153.04515
## 1448 1448 -69.44075  0.091159132  11.94482
## 1449 1449 -73.04153 -1.492018541  52.49678
## 1450 1450 -72.60935 -1.913004966  19.28542
## 1451 1451 -74.09624 -2.132455336  58.97720
## 1452 1452 -71.30160 -0.564952690  28.32698
## 1453 1453 -72.71012 -3.041606871 159.66591
## 1454 1454 -71.56136 -0.594063453  16.28080
## 1455 1455 -70.15061 -0.544799084  32.63776
## 1456 1456 -70.40813 -4.002262064  36.12104
## 1457 1457 -70.22898 -0.616456348  35.12928
## 1458 1458 -70.18420 -0.229059266  29.05014
## 1459 1459 -73.87679 -2.295923469  67.51155
## 1460 1460 -71.07320 -2.298162759  46.75194
## 1461 1461 -74.04473 -2.208591179  95.26067
## 1462 1462 -69.54152 -2.071994520  18.86851
## 1463 1463 -71.29936 -4.201558829  57.28528
## 1464 1464 -72.91837 -1.079989274  16.59734
## 1465 1465 -73.93277 -3.278971558 142.15282
## 1466 1466 -71.48075 -0.105898343  24.09361
## 1467 1467 -72.79521 -0.853821035  31.96454
## 1468 1468 -72.19732 -2.806481474  30.37761
## 1469 1469 -72.01594 -0.869496061  19.06962
## 1470 1470 -69.70723 -0.835906719  34.80029
## 1471 1471 -70.27825 -0.090223317  19.72710
## 1472 1472 -72.54889 -3.637257877 244.06189
## 1473 1473 -73.61479 -1.854783439  26.37139
## 1474 1474 -71.03961 -0.231298555  27.05840
## 1475 1475 -72.43916 -4.094072934 153.80486
## 1476 1476 -70.14837 -2.752738526  30.57498
## 1477 1477 -71.09783 -2.085430257  44.64673
## 1478 1478 -72.15253 -4.051526433 118.59821
## 1479 1479 -74.18581 -1.140450090  38.90083
## 1480 1480 -70.35214 -1.476343514  33.21107
## 1481 1481 -71.40013 -0.591824164  23.40784
## 1482 1482 -72.04729 -1.122535774  28.55639
## 1483 1483 -70.77985 -2.790806448  36.49609
## 1484 1484 -69.56168  0.129227053  25.71929
## 1485 1485 -71.53225 -2.042883756  21.83094
## 1486 1486 -74.37615 -3.791768852 230.93187
## 1487 1487 -69.42284 -1.642050937  16.74223
## 1488 1488 -72.19284 -3.648454324 120.60114
## 1489 1489 -70.10134 -3.520814823  25.49112
## 1490 1490 -69.60198 -2.604945420  37.71352
## 1491 1491 -73.01690 -4.138858724 139.55174
## 1492 1492 -74.00666 -2.378777181  86.45134
## 1493 1493 -71.48075 -1.926440703  16.67521
## 1494 1494 -70.83135 -3.072956924  60.37397
## 1495 1495 -71.63526 -0.032001790  23.48512
## 1496 1496 -73.06840 -3.639497166 243.64963
## 1497 1497 -73.45804 -2.054080204  56.23622
## 1498 1498 -71.27473 -1.048639221  36.20796
## 1499 1499 -70.65445  0.001587552  17.69436
## 1500 1500 -69.80576 -0.728420823  27.51612
## 1501 1501 -72.92509 -0.287280793  17.30313
## 1502 1502 -72.84223 -0.269366477  22.58375
## 1503 1503 -71.34191 -2.842310106  55.32997
## 1504 1504 -72.04953 -0.544799084  23.77398
## 1505 1505 -69.68036 -2.983385344  59.78239
## 1506 1506 -72.97659 -3.299125163 120.70440
## 1507 1507 -69.87294 -1.917483545  19.70051
## 1508 1508 -70.93436 -3.630540008  28.12479
## 1509 1509 -74.32464 -1.651008095  57.02744
## 1510 1510 -74.32464 -2.396691497  95.74195
## 1511 1511 -72.82208 -3.021453266 138.49068
## 1512 1512 -71.09783 -2.101105283  75.89312
## 1513 1513 -72.26002 -1.657725963  60.38830
## 1514 1514 -71.51881 -0.898606825  12.71826
## 1515 1515 -74.03354 -3.287928716 107.23069
## 1516 1516 -73.78050  0.048612632  32.28485
## 1517 1517 -73.60135 -0.766488744  31.75058
## 1518 1518 -71.16501 -2.952035291  31.65941
## 1519 1519 -71.00826  0.082201974  15.49966
## 1520 1520 -72.90270 -1.861501307  17.92800
## 1521 1521 -69.82143 -1.695793885  21.67776
## 1522 1522 -72.26002  0.115791316  11.39539
## 1523 1523 -71.77633 -3.278971558  60.19574
## 1524 1524 -71.83679 -1.348704013  25.83666
## 1525 1525 -72.69444 -0.522406190  19.51119
## 1526 1526 -73.10647 -1.274807460  16.57302
## 1527 1527 -69.80352 -1.127014353  22.23347
## 1528 1528 -72.17493 -2.340709259  29.47014
## 1529 1529 -70.57383 -3.776093825  32.68684
## 1530 1530 -71.51434 -0.282802214  23.76067
## 1531 1531 -69.95131 -0.889649667  35.95102
## 1532 1532 -71.07320 -1.048639221  21.23666
## 1533 1533 -72.28689 -2.286966311  47.89522
## 1534 1534 -74.37167 -2.338469970  65.98638
## 1535 1535 -71.67556 -1.389011224  29.14569
## 1536 1536 -71.32400 -0.349980898  21.99722
## 1537 1537 -71.97339 -3.746983062 146.88170
## 1538 1538 -72.21299 -3.093110530 168.44772
## 1539 1539 -70.86718 -2.383255760  20.99102
## 1540 1540 -73.40430 -1.749536833  41.66304
## 1541 1541 -69.54600 -2.710192026  33.25446
## 1542 1542 -71.47851 -0.040958948  29.59669
## 1543 1543 -73.58568 -0.213384239  14.78711
## 1544 1544 -71.11126 -3.995544196  24.83181
## 1545 1545 -69.80128  0.111312738  12.42474
## 1546 1546 -71.65989 -1.153885827  33.90959
## 1547 1547 -72.41677 -3.379739585 209.04613
## 1548 1548 -70.26929 -3.234185768  18.25478
## 1549 1549 -70.92540 -3.538729139  41.69855
## 1550 1550 -71.40909 -3.758179510  37.71786
## 1551 1551 -69.89533 -3.072956924  20.42882
## 1552 1552 -70.25138 -2.804242185  41.36457
## 1553 1553 -73.33264 -1.662204542  34.93923
## 1554 1554 -71.21203 -4.156773040  32.07519
## 1555 1555 -70.96571 -2.795285027  32.90395
## 1556 1556 -71.10902 -1.850304860  26.96219
## 1557 1557 -70.85375 -1.238978828  20.93602
## 1558 1558 -70.47307 -3.175964241  25.50532
## 1559 1559 -72.24210 -0.087984028  11.18113
## 1560 1560 -70.32751 -4.127662276  25.24410
## 1561 1561 -69.45867 -0.430595320  17.59520
## 1562 1562 -71.79649 -1.850304860  23.40376
## 1563 1563 -71.02841 -2.595988262  21.81862
## 1564 1564 -73.56105 -0.694831481  31.78228
## 1565 1565 -70.75074 -1.897329939  18.69175
## 1566 1566 -69.70051 -2.934120975  28.10324
## 1567 1567 -72.76834 -0.488816847  30.08575
## 1568 1568 -70.32527 -2.676602684  21.97430
## 1569 1569 -70.36558 -3.626061429  18.80115
## 1570 1570 -69.45867 -1.729383227  14.11005
## 1571 1571 -74.02906 -3.632779298 260.14404
## 1572 1572 -72.85343 -1.689076016  23.66704
## 1573 1573 -70.64549 -0.087984028  15.62419
## 1574 1574 -73.96860  0.012784000  28.09519
## 1575 1575 -71.43372 -1.998097967  16.14760
## 1576 1576 -72.73475 -0.985939115  30.94831
## 1577 1577 -72.46603 -2.125737468  49.35249
## 1578 1578 -74.24179 -1.805519070  43.94156
## 1579 1579 -69.53704 -1.550240068  10.98975
## 1580 1580 -71.88158 -1.904047808  20.83001
## 1581 1581 -70.75074 -2.224266206  13.69600
## 1582 1582 -71.81216 -2.705713447  55.74135
## 1583 1583 -71.44716 -2.685559841  17.70313
## 1584 1584 -73.70660 -1.035203484  38.71295
## 1585 1585 -70.14165 -0.479859689  32.38965
## 1586 1586 -70.16404 -1.904047808  19.84399
## 1587 1587 -71.73826 -2.553441761  29.58254
## 1588 1588 -72.23539 -1.935397861  26.72988
## 1589 1589 -70.11254 -0.918760430  26.20811
## 1590 1590 -74.01114 -3.787290273 274.25940
## 1591 1591 -72.17493 -2.237701943  21.35015
## 1592 1592 -72.11223 -0.858299614  20.39945
## 1593 1593 -72.35407  0.093398422  18.39121
## 1594 1594 -69.53480 -4.047047854  24.99177
## 1595 1595 -71.57480 -3.661890061  49.66399
## 1596 1596 -74.24851 -3.890297590 260.71277
## 1597 1597 -70.37902 -1.147167959  10.42015
## 1598 1598 -70.00282 -0.627652796  42.77560
## 1599 1599 -70.92764 -2.638534762  49.56493
## 1600 1600 -71.47403 -0.186512765  18.05276
## 1601 1601 -72.26898 -3.146853477 181.91307
## 1602 1602 -73.99995 -1.635333068  63.05100
## 1603 1603 -74.19700 -0.074548291  20.78529
## 1604 1604 -72.03609 -2.051840914  21.80598
## 1605 1605 -72.17045 -2.374298602  39.23290
## 1606 1606 -73.35503 -0.229059266  19.30956
## 1607 1607 -73.72451  0.124748474  19.43224
## 1608 1608 -73.16469 -3.677565088 124.81727
## 1609 1609 -74.05145 -0.540320505  24.13140
## 1610 1610 -71.83455 -3.016974687  38.36139
## 1611 1611 -69.61542 -0.296237951  26.70071
## 1612 1612 -70.43500 -0.605259901  39.01300
## 1613 1613 -74.21492 -3.191639267 151.25482
## 1614 1614 -74.37391 -2.302641338  70.87293
## 1615 1615 -69.40492 -1.010571299  12.00659
## 1616 1616 -69.94683 -1.832390544  16.40086
## 1617 1617 -73.43565 -1.402446961  34.47732
## 1618 1618 -70.83359 -0.867256772  20.87946
## 1619 1619 -69.81919 -3.500661218  40.64651
## 1620 1620 -74.02234 -3.991065617 188.23694
## 1621 1621 -71.88830 -1.955551466  43.50962
## 1622 1622 -71.91069 -3.950758406 144.16486
## 1623 1623 -73.96636 -3.028171134 161.18163
## 1624 1624 -70.87390 -3.778333115  36.90535
## 1625 1625 -70.48650 -2.916206659  37.15755
## 1626 1626 -72.68996 -0.976981957  16.11847
## 1627 1627 -70.33871 -0.065591133  10.29326
## 1628 1628 -73.62822 -0.401484557  40.06824
## 1629 1629 -73.46252 -2.316077075 105.05289
## 1630 1630 -72.17940 -2.237701943  21.11062
## 1631 1631 -70.85822 -3.811922457  23.98635
## 1632 1632 -70.00505 -0.135009107  21.76111
## 1633 1633 -73.65957 -3.433482533 181.90022
## 1634 1634 -69.87070 -3.646215035  31.63218
## 1635 1635 -69.90205 -0.517927611  40.03845
## 1636 1636 -71.35311 -2.175001837  82.90652
## 1637 1637 -70.84927 -2.152608942  26.63885
## 1638 1638 -73.95516 -2.457152313 115.97606
## 1639 1639 -69.83039 -0.343263030  11.27414
## 1640 1640 -73.43789 -3.599189955 185.11807
## 1641 1641 -71.50538 -0.314152267  26.02334
## 1642 1642 -71.55464 -3.605907824  38.56296
## 1643 1643 -71.43596 -3.888058300  25.32432
## 1644 1644 -71.33295 -4.165730198  85.21780
## 1645 1645 -71.32847 -1.162842985  19.02569
## 1646 1646 -71.96667 -1.783126175  16.14091
## 1647 1647 -71.72931 -2.024969441  41.92606
## 1648 1648 -73.28785 -1.668922411  30.06808
## 1649 1649 -69.70051 -0.777685192  17.31346
## 1650 1650 -71.27249 -0.932196167  27.53747
## 1651 1651 -74.00666 -1.552479357  32.94292
## 1652 1652 -74.01114 -3.870143984 232.66068
## 1653 1653 -73.82528 -3.975390590 128.18950
## 1654 1654 -70.32751 -1.091185721  10.91565
## 1655 1655 -73.85887  0.093398422  20.41298
## 1656 1656 -71.36206 -2.360862865  21.05966
## 1657 1657 -71.21427 -2.528809577  27.60983
## 1658 1658 -69.42060 -1.776408307  20.48146
## 1659 1659 -71.17396 -3.505139797  29.32207
## 1660 1660 -73.55209 -1.675640279  29.71500
## 1661 1661 -72.70340 -1.556957936  34.50248
## 1662 1662 -74.39182 -4.111987250 439.03238
## 1663 1663 -70.12598 -1.261371723  25.53543
## 1664 1664 -69.76769  0.075484106  12.90057
## 1665 1665 -74.27090 -2.506416682 108.10349
## 1666 1666 -72.69220  0.115791316  28.03582
## 1667 1667 -70.90525 -0.148444844  22.84064
## 1668 1668 -70.99482 -0.240255713  29.19546
## 1669 1669 -73.90590 -3.493943349 174.91170
## 1670 1670 -71.24338 -3.955236985  34.01983
## 1671 1671 -71.58823 -2.725867052  31.04783
## 1672 1672 -69.72738 -4.017937091  34.14267
## 1673 1673 -70.88733 -1.892851360  18.58542
## 1674 1674 -74.23507 -1.395729092  53.18719
## 1675 1675 -69.59974 -0.526884769  13.30856
## 1676 1676 -73.93725 -1.850304860  39.94261
## 1677 1677 -73.43789 -3.643975745 128.51636
## 1678 1678 -74.09848 -0.927717588  46.74603
## 1679 1679 -73.99547 -0.056633975  31.39495
## 1680 1680 -69.53256 -1.883894202  12.35278
## 1681 1681 -71.52105 -1.281525328  16.28262
## 1682 1682 -71.08663 -0.370134504  23.88613
## 1683 1683 -70.17748 -0.513449032  25.61468
## 1684 1684 -69.83935 -2.540006024  25.61816
## 1685 1685 -73.17813  0.032937605  19.41526
## 1686 1686 -71.01497 -2.492980945  40.26950
## 1687 1687 -73.43341 -3.265535821 269.59827
## 1688 1688 -72.10103 -2.436998708  50.06871
## 1689 1689 -72.00698 -3.755940220 141.66893
## 1690 1690 -73.57224 -2.152608942  63.72784
## 1691 1691 -71.65989 -3.346150242  87.61733
## 1692 1692 -69.62885 -3.220750031  25.48489
## 1693 1693 -73.68869 -3.773854536 102.03486
## 1694 1694 -74.03130 -3.052803319 214.66003
## 1695 1695 -72.09879 -1.637572358  16.86194
## 1696 1696 -74.00219 -0.544799084  42.18015
## 1697 1697 -70.32079 -3.704436562  26.54434
## 1698 1698 -69.45867 -2.884856607  64.22163
## 1699 1699 -71.22547 -4.118705118  16.97450
## 1700 1700 -72.93405 -3.742504483 251.81039
## 1701 1701 -70.88062 -0.582867006  12.51599
## 1702 1702 -72.23763 -3.102067688 192.43002
## 1703 1703 -73.33264 -3.287928716 161.39206
## 1704 1704 -70.58055 -3.699957983  27.90422
## 1705 1705 -73.44460 -1.608461594  26.18439
## 1706 1706 -72.17493 -0.889649667  18.27629
## 1707 1707 -70.35662 -3.088631951  28.08466
## 1708 1708 -72.50858 -2.506416682 101.49018
## 1709 1709 -70.08567 -4.047047854  31.53776
## 1710 1710 -73.66181 -3.218510741 214.32884
## 1711 1711 -70.78209 -1.140450090  32.22654
## 1712 1712 -74.36047 -1.409164829  51.91726
## 1713 1713 -71.27921 -0.276084345  24.20416
## 1714 1714 -74.28434 -1.395729092  47.58593
## 1715 1715 -72.12566 -1.341986145  25.32308
## 1716 1716 -70.51337 -2.383255760  11.66707
## 1717 1717 -72.52873 -0.835906719  27.29001
## 1718 1718 -74.13654 -0.484338268  36.02014
## 1719 1719 -70.92540 -3.722350878  24.66237
## 1720 1720 -73.91261 -1.854783439  52.49076
## 1721 1721 -70.55368 -4.176926645  41.30000
## 1722 1722 -73.36399 -0.114855501  16.20737
## 1723 1723 -72.76610 -3.818640326 210.90010
## 1724 1724 -73.95068 -2.089908836  84.17346
## 1725 1725 -71.20531 -3.135657030 102.94833
## 1726 1726 -70.11254 -0.513449032  25.19255
## 1727 1727 -71.13813 -0.882931798  26.51674
## 1728 1728 -72.79969 -1.859262018  23.96480
## 1729 1729 -72.43244 -1.812236939  23.36531
## 1730 1730 -72.11447 -2.880378028  34.18077
## 1731 1731 -73.57896 -1.809997649  31.90866
## 1732 1732 -69.73634 -3.789529562  28.91722
## 1733 1733 -72.82432 -3.955236985 139.35135
## 1734 1734 -71.96443 -2.078712388  12.65740
## 1735 1735 -73.15126 -1.915244255  59.05822
## 1736 1736 -70.64101 -1.113578616  14.24656
## 1737 1737 -72.06520 -0.560474111  32.68589
## 1738 1738 -70.09239 -0.504491874  27.19821
## 1739 1739 -70.66117 -2.770652842  28.89622
## 1740 1740 -72.59367 -2.381016470  80.77640
## 1741 1741 -69.63781 -0.699310060  16.25402
## 1742 1742 -70.41932 -2.215309048  25.31139
## 1743 1743 -70.64325 -0.307434398  32.15413
## 1744 1744 -74.35599 -4.190362382 372.14142
## 1745 1745 -72.30033 -2.166044679  39.61679
## 1746 1746 -71.65093 -0.582867006  18.93200
## 1747 1747 -69.77665 -2.436998708  25.87386
## 1748 1748 -72.30928 -1.745058254  24.54848
## 1749 1749 -70.14389 -1.637572358  26.83552
## 1750 1750 -74.08280 -3.957476275 188.54089
## 1751 1751 -73.77602 -3.679804377 134.90849
## 1752 1752 -71.24786 -0.920999720  25.90271
## 1753 1753 -74.19253 -3.941801248 284.48236
## 1754 1754 -70.73506 -1.673400990  18.72751
## 1755 1755 -72.58696 -3.641736456 109.37312
## 1756 1756 -73.36623 -1.348704013  13.71811
## 1757 1757 -72.69444 -2.087669546  54.09409
## 1758 1758 -72.56456 -2.107823152  34.72171
## 1759 1759 -73.72899 -2.927403107 103.16956
## 1760 1760 -69.59974 -0.580627716  34.54856
## 1761 1761 -70.93660 -0.773206613  22.39777
## 1762 1762 -72.21075 -3.063999766 194.34781
## 1763 1763 -72.00250 -0.070069712  15.64752
## 1764 1764 -70.19763 -0.813513824  14.26196
## 1765 1765 -72.15701 -0.285041503  12.28310
## 1766 1766 -72.22643 -0.367895214  15.09967
## 1767 1767 -71.44940 -3.113264135  48.76445
## 1768 1768 -73.92605 -2.318316364  63.55359
## 1769 1769 -71.91741 -0.202187792  15.31034
## 1770 1770 -71.08215 -0.135009107  33.36756
## 1771 1771 -70.92988 -4.013458512  36.12041
## 1772 1772 -71.76738 -3.841033221  49.03006
## 1773 1773 -71.59495 -2.307119917  37.09549
## 1774 1774 -72.50410 -3.639497166 192.04497
## 1775 1775 -74.30897 -2.965471028  74.58625
## 1776 1776 -71.67333 -0.708267218  17.29408
## 1777 1777 -71.78977 -0.894128246  11.32567
## 1778 1778 -69.90429 -1.574872252  23.79632
## 1779 1779 -73.47595 -2.517613129 119.07902
## 1780 1780 -72.38542 -1.521129304  28.47397
## 1781 1781 -71.99354 -0.137248396  17.96176
## 1782 1782 -73.29009 -3.299125163 211.31694
## 1783 1783 -71.55016  0.144902080  11.85733
## 1784 1784 -72.16597 -2.430280839  32.60000
## 1785 1785 -71.61734 -0.345502319  14.66166
## 1786 1786 -71.91965 -0.105898343  15.27220
## 1787 1787 -71.21875  0.142662790  19.76781
## 1788 1788 -71.53897 -1.621897331  45.69153
## 1789 1789 -70.64773 -4.111987250  69.83516
## 1790 1790 -71.65989 -0.119334080  23.95323
## 1791 1791 -71.39565 -3.516336244  98.82562
## 1792 1792 -72.01594 -1.503214988  33.79867
## 1793 1793 -73.89918 -3.196117846 208.25687
## 1794 1794 -72.84671 -2.123498178  64.45506
## 1795 1795 -74.35599 -2.522091708  78.04404
## 1796 1796 -73.83648 -3.648454324 144.30595
## 1797 1797 -71.23219 -0.112616212  37.90021
## 1798 1798 -69.98042 -1.039682063  21.94858
## 1799 1799 -74.34480 -3.144614188  99.03436
## 1800 1800 -72.95644 -2.127976757  43.20770
## 1801 1801 -73.67301 -1.254653854  20.76653
## 1802 1802 -70.99930 -2.519852419  30.39240
## 1803 1803 -72.55561 -2.217548337  34.17700
## 1804 1804 -73.69540 -3.587993508 181.02029
## 1805 1805 -71.37774 -1.337507566  18.66942
## 1806 1806 -72.84223 -2.685559841  50.26826
## 1807 1807 -70.82687  0.142662790  25.34652
## 1808 1808 -72.71683 -2.313837785  56.26528
## 1809 1809 -70.14165 -1.518890015  11.07229
## 1810 1810 -70.11926  0.095637711  23.65879
## 1811 1811 -73.80065 -2.562398919 148.36899
## 1812 1812 -72.53993 -3.691000825 148.67615
## 1813 1813 -70.37902 -3.046085450  28.25652
## 1814 1814 -74.29329 -2.177241126  62.20292
## 1815 1815 -73.46252 -1.762972570  68.71143
## 1816 1816 -71.69796 -3.780572404  63.82304
## 1817 1817 -69.86398 -2.291444890  22.22788
## 1818 1818 -70.81792 -0.782163771  21.75297
## 1819 1819 -72.94300 -0.352220188  10.68627
## 1820 1820 -70.40141 -0.766488744  18.71297
## 1821 1821 -73.36847 -1.252414565  18.33638
## 1822 1822 -70.32079 -0.002891027  11.32633
## 1823 1823 -73.41549 -3.066239056 201.38876
## 1824 1824 -70.74402 -0.522406190  47.33706
## 1825 1825 -71.15381 -0.775445902  25.10647
## 1826 1826 -69.78336 -1.706990332  17.27493
## 1827 1827 -74.25747 -0.513449032  32.02342
## 1828 1828 -70.57607 -0.925478299  22.81628
## 1829 1829 -69.40045 -3.458114717  41.64366
## 1830 1830 -70.56264 -0.354459477  29.48749
## 1831 1831 -72.58696 -0.988178404  19.24537
## 1832 1832 -73.94173 -1.048639221  28.90713
## 1833 1833 -74.11639 -1.326311118  21.35931
## 1834 1834 -73.79393 -2.374298602 137.38763
## 1835 1835 -72.57128 -0.992656983  15.38800
## 1836 1836 -70.09015 -1.601743726  19.89696
## 1837 1837 -71.09559 -1.196432327  17.44699
## 1838 1838 -74.15446 -0.045437527  26.40896
## 1839 1839 -72.69668 -0.318630845  14.46883
## 1840 1840 -73.37519 -3.567839902 193.23761
## 1841 1841 -72.17269 -0.452988215  12.94227
## 1842 1842 -69.78560 -3.025931845  19.51454
## 1843 1843 -71.45387 -0.549277663  25.69169
## 1844 1844 -70.80000 -3.751461641  39.66943
## 1845 1845 -69.97147 -1.691315306  27.10625
## 1846 1846 -72.32944 -2.528809577  39.62275
## 1847 1847 -71.74274 -2.835592238  27.21086
## 1848 1848 -72.30257 -0.135009107  15.68864
## 1849 1849 -73.34831 -1.910765676  26.19465
## 1850 1850 -73.20500 -2.725867052 107.57932
## 1851 1851 -71.70691 -2.027208730  38.48287
## 1852 1852 -70.72163 -1.955551466  12.54059
## 1853 1853 -70.78209 -3.500661218  40.46864
## 1854 1854 -71.35982 -2.145891073  33.21675
## 1855 1855 -74.14550 -1.375575487  40.94968
## 1856 1856 -73.87007 -3.679804377 202.08873
## 1857 1857 -70.05432 -0.981460536  16.17364
## 1858 1858 -72.76162 -1.617418752  22.07152
## 1859 1859 -72.85119 -0.596302743  17.95258
## 1860 1860 -74.37839 -2.078712388  58.99367
## 1861 1861 -72.98331 -2.551202472 114.98624
## 1862 1862 -73.28113 -3.426764664 169.05830
## 1863 1863 -73.62599 -0.229059266  23.90121
## 1864 1864 -73.29905 -1.715947490  41.13496
## 1865 1865 -70.42380 -3.184921399  35.17966
## 1866 1866 -72.86239 -3.921647643 102.50200
## 1867 1867 -70.66788 -0.887410377  13.75005
## 1868 1868 -72.00474 -3.202835715 114.30775
## 1869 1869 -71.27025 -3.722350878  17.46524
## 1870 1870 -73.25874 -1.845826281  28.65699
## 1871 1871 -73.58568 -2.177241126 109.94301
## 1872 1872 -73.06168 -2.909488791 180.62837
## 1873 1873 -73.35727 -1.176278722  18.90298
## 1874 1874 -70.89181 -0.092462607  44.87899
## 1875 1875 -70.18868 -0.768728034  23.95658
## 1876 1876 -73.01914 -1.637572358  29.73050
## 1877 1877 -70.10806 -3.124460582  34.68702
## 1878 1878 -74.20372 -1.993619388  98.12358
## 1879 1879 -71.88606 -0.759770876  18.50023
## 1880 1880 -73.44684 -1.919722834  24.37134
## 1881 1881 -74.07832 -3.359585979 101.79140
## 1882 1882 -71.11126 -2.513134550  61.11333
## 1883 1883 -70.15061 -0.793360218  28.82859
## 1884 1884 -72.58696 -1.830151254  45.58479
## 1885 1885 -72.67429 -2.125737468  42.02626
## 1886 1886 -72.21747 -0.132769817  11.32553
## 1887 1887 -70.67684 -2.000337256  20.50426
## 1888 1888 -70.21107 -2.300402048  13.84295
## 1889 1889 -73.18932 -3.162528504 148.13423
## 1890 1890 -70.09239 -1.364379040  53.63034
## 1891 1891 -74.02906 -2.286966311  80.34863
## 1892 1892 -70.59175 -1.648768805  19.07951
## 1893 1893 -70.02297 -3.841033221  18.68774
## 1894 1894 -71.43372 -0.468663242  24.73897
## 1895 1895 -71.07767 -1.026246326  45.35287
## 1896 1896 -71.20979 -0.094701896  36.42909
## 1897 1897 -71.42700 -2.551202472  30.66946
## 1898 1898 -69.59974 -3.686522246  24.93701
## 1899 1899 -71.84351 -2.683320552  71.00803
## 1900 1900 -70.72387 -3.462593296  26.68221
## 1901 1901 -70.26481 -3.675325798  22.07519
## 1902 1902 -73.94173 -3.874622563 253.42877
## 1903 1903 -72.90941 -2.376537891  55.47623
## 1904 1904 -74.13430 -0.363416635  44.30193
## 1905 1905 -73.40877 -0.746335139  29.00498
## 1906 1906 -70.53353 -0.618695638  33.52447
## 1907 1907 -73.89246 -0.329827293  43.04175
## 1908 1908 -72.15253 -1.787604754  16.20414
## 1909 1909 -71.94204 -2.445955866  28.13286
## 1910 1910 -71.99354 -0.260409319  19.68305
## 1911 1911 -73.78498 -0.956828352  18.76979
## 1912 1912 -71.12246 -0.822470982  34.63389
## 1913 1913 -72.39438 -2.378777181  24.54206
## 1914 1914 -69.89533 -4.212755277  25.63304
## 1915 1915 -70.79552 -1.030724905  13.34925
## 1916 1916 -71.79873 -2.286966311  78.71269
## 1917 1917 -70.31855 -3.623822140  40.34954
## 1918 1918 -71.39789 -0.719463665  29.83110
## 1919 1919 -72.91389 -0.571670558  25.92862
## 1920 1920 -69.69827 -1.341986145  15.14168
## 1921 1921 -71.42924 -2.060798072  44.31528
## 1922 1922 -69.72514 -3.630540008  32.47829
## 1923 1923 -69.55048 -2.578073946  16.89240
## 1924 1924 -73.47371  0.062048369  18.66900
## 1925 1925 -72.71236 -1.120296485  29.17976
## 1926 1926 -73.18932 -2.083190967  48.27295
## 1927 1927 -71.43596 -0.269366477  23.27111
## 1928 1928 -73.89694 -0.479859689  25.50779
## 1929 1929 -73.45580 -0.293998661  23.84359
## 1930 1930 -74.07160 -1.673400990  49.82648
## 1931 1931 -72.45260 -1.478582804  59.30970
## 1932 1932 -72.80193 -2.723627763  67.01505
## 1933 1933 -70.08343 -3.823118905  18.22060
## 1934 1934 -73.01690 -4.165730198 183.78891
## 1935 1935 -73.65957 -0.636609954  20.52535
## 1936 1936 -69.69827 -3.713393720  34.47768
## 1937 1937 -73.92381 -0.692592191  44.09351
## 1938 1938 -74.39182 -1.290482486  35.43601
## 1939 1939 -73.37966 -1.131492932  21.03214
## 1940 1940 -71.07096 -0.461945373  13.62490
## 1941 1941 -70.63877 -1.294961065  14.71997
## 1942 1942 -69.80352 -0.186512765  26.71472
## 1943 1943 -70.30736 -0.768728034  27.11808
## 1944 1944 -71.67780 -2.712431315  14.64042
## 1945 1945 -70.72611 -1.807758360  15.96499
## 1946 1946 -69.71171 -1.055357089  11.91019
## 1947 1947 -71.23890 -2.472827339  19.57976
## 1948 1948 -72.37422 -1.395729092  28.81979
## 1949 1949 -70.12150  0.055330500  14.31540
## 1950 1950 -74.05593 -0.762010165  50.39423
## 1951 1951 -73.40654 -1.539043620  21.30224
## 1952 1952 -73.55209 -2.546723893  83.54590
## 1953 1953 -72.92285 -0.914281851  13.83059

Ploteamos esta nueva muestra:

m <- leaflet() %>%
  addTiles() %>%  
  addMarkers(lng=sitios$longit,lat=sitios$latit, popup=sitios$soc, clusterOptions = markerClusterOptions())
m  # Print the map

Guardamos las capas y datos

sf::st_write(nmuestras, "Datos/soc_amaz.gpkg", driver = "GPKG",
             append=FALSE)

## Deleting layer `soc_amaz' using driver `GPKG'
## Writing layer `soc_amaz' to data source `Datos/soc_amaz.gpkg' using driver `GPKG'
## Writing 1953 features with 1 fields and geometry type Point.

amaz_soc

## class       : SpatRaster 
## size        : 1955, 2237, 1  (nrow, ncol, nlyr)
## resolution  : 250, 250  (x, y)
## extent      : -8281000, -7721750, -470750, 18000  (xmin, xmax, ymin, ymax)
## coord. ref. : Interrupted_Goode_Homolosine 
## source(s)   : memory
## varname     : soc_igh_15_30 
## name        :   soc 
## min value   :   4.2 
## max value   : 551.8

Referencias

sessionInfo()

## R version 4.5.1 (2025-06-13 ucrt)
## Platform: x86_64-w64-mingw32/x64
## Running under: Windows 10 x64 (build 19045)
## 
## Matrix products: default
##   LAPACK version 3.12.1
## 
## locale:
## [1] LC_COLLATE=Spanish_Colombia.utf8  LC_CTYPE=Spanish_Colombia.utf8   
## [3] LC_MONETARY=Spanish_Colombia.utf8 LC_NUMERIC=C                     
## [5] LC_TIME=Spanish_Colombia.utf8    
## 
## time zone: America/Bogota
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] tmap_4.2            tidyterra_0.7.2     ggplot2_4.0.0      
##  [4] RColorBrewer_1.1-3  leaflet_2.2.3       dplyr_1.1.4        
##  [7] gdalUtilities_1.2.5 sf_1.0-21           XML_3.99-0.19      
## [10] terra_1.8-70       
## 
## loaded via a namespace (and not attached):
##  [1] gtable_0.3.6       xfun_0.53          bslib_0.9.0        raster_3.6-32     
##  [5] htmlwidgets_1.6.4  lattice_0.22-7     vctrs_0.6.5        tools_4.5.1       
##  [9] crosstalk_1.2.2    generics_0.1.4     parallel_4.5.1     tibble_3.3.0      
## [13] proxy_0.4-27       pkgconfig_2.0.3    KernSmooth_2.23-26 data.table_1.17.8 
## [17] S7_0.2.0           lifecycle_1.0.4    compiler_4.5.1     farver_2.1.2      
## [21] codetools_0.2-20   leafsync_0.1.0     leaflegend_1.2.1   stars_0.6-8       
## [25] htmltools_0.5.8.1  class_7.3-23       sass_0.4.10        yaml_2.3.10       
## [29] pillar_1.11.1      jquerylib_0.1.4    tidyr_1.3.1        classInt_0.4-11   
## [33] lwgeom_0.2-14      cachem_1.1.0       wk_0.9.4           abind_1.4-8       
## [37] tidyselect_1.2.1   digest_0.6.37      purrr_1.1.0        fastmap_1.2.0     
## [41] grid_4.5.1         colorspace_2.1-2   cli_3.6.5          logger_0.4.1      
## [45] magrittr_2.0.4     maptiles_0.10.0    base64enc_0.1-3    cols4all_0.10     
## [49] leafem_0.2.5       e1071_1.7-16       withr_3.0.2        scales_1.4.0      
## [53] sp_2.2-0           rmarkdown_2.30     png_0.1-8          evaluate_1.0.5    
## [57] knitr_1.50         tmaptools_3.3      s2_1.1.9           rlang_1.1.6       
## [61] Rcpp_1.1.0         glue_1.8.0         DBI_1.2.3          rstudioapi_0.17.1 
## [65] jsonlite_2.0.0     R6_2.6.1           spacesXYZ_1.6-0    units_1.0-0