title: “soil data | datos de suelos para el departamento de Huila” author: “Daniel Diaz Vargas” date: “2025-11-06” output:

html_document: toc: true toc_depth: 3 # adjustdepth of headings to include (e.g., 1 for ##, etc.) number_sections: true # optional: to number section an subsections

1. Introduccion

este cuaderno de R ilustra como descargar datos de propiedades de suelos a cualquier profundidad desdes la plataforma “SoilGrids”.

Dichos datos estan en estructura Raster con resolucion espacial de 250m.

Agregar texto: que indique la ventaja de descargar esos datos usando R en lugar de usar un navegador web para esa labor.

Agregar texto: que describa las diferentes opciones para descargar datos, donde se explicaron en introduccion del notebook de referencia

2.1 configuaracion

vamos a llamar liberias

rm(list=ls())

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

2.1 ¿Que es SoilGrids?

SoilGrids es un sistema global de información de suelos desarrollado por ISRIC que proporciona mapas digitales de alta resolución (250m) de las propiedades del suelo en todo el mundo. Utilizando algoritmos de machine learning y más de 240,000 perfiles de suelo de referencia, combina datos satelitales, modelos de elevación e información climática para predecir y mapear variables clave como textura (arcilla, limo, arena), pH, carbono orgánico y nutrientes a diferentes profundidades (desde 0-5cm hasta 100-200cm). Esta plataforma de acceso libre es fundamental para aplicaciones en agricultura de precisión, modelado ambiental, investigación científica y planificación territorial, sirviendo como una herramienta esencial para comprender y gestionar los recursos edáficos a escala global.

2.2 Definir variables de interes

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"

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

## [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"

Este código construye URLs para acceder a datos de carbono orgánico del suelo desde SoilGrids, una plataforma global de información de suelos.

Estás configurando la conexión para obtener datos de carbono orgánico del suelo a nivel global para la profundidad de 15-30 cm.

3. Descargar variables de interes para un departamento especifico.

vamos a leer un geopackage de colombia y despues seleccionamos nuestro departamento de interes

# change path and filename to match your data
(huila = st_read("Proyecto05/munic_huila.gpkg"))

## Reading layer `col_adm2' from data source `D:\GB022\Proyecto05\munic_huila.gpkg' using driver `GPKG'
## Simple feature collection with 37 features and 11 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: -76.6402 ymin: 1.493471 xmax: -74.5054 ymax: 3.807901
## Geodetic CRS:  WGS 84

## Simple feature collection with 37 features and 11 fields
## Geometry type: MULTIPOLYGON
## Dimension:     XY
## Bounding box:  xmin: -76.6402 ymin: 1.493471 xmax: -74.5054 ymax: 3.807901
## Geodetic CRS:  WGS 84
## First 10 features:
##    ID_0 ISO   NAME_0 ID_1 NAME_1 ID_2      NAME_2    TYPE_2    ENGTYPE_2
## 1    53 COL Colombia   17  Huila  616     Acevedo Municipio Municipality
## 2    53 COL Colombia   17  Huila  617      Agrado Municipio Municipality
## 3    53 COL Colombia   17  Huila  618        Aipe Municipio Municipality
## 4    53 COL Colombia   17  Huila  619   Algeciras Municipio Municipality
## 5    53 COL Colombia   17  Huila  620    Altamira Municipio Municipality
## 6    53 COL Colombia   17  Huila  621      Baraya Municipio Municipality
## 7    53 COL Colombia   17  Huila  622 Campoalegre Municipio Municipality
## 8    53 COL Colombia   17  Huila  623    Colombia Municipio Municipality
## 9    53 COL Colombia   17  Huila  624       Elías Municipio Municipality
## 10   53 COL Colombia   17  Huila  625      Garzón Municipio Municipality
##    NL_NAME_2 VARNAME_2                           geom
## 1       <NA>      <NA> MULTIPOLYGON (((-75.83184 1...
## 2       <NA>      <NA> MULTIPOLYGON (((-75.6673 2....
## 3       <NA>      <NA> MULTIPOLYGON (((-75.21477 3...
## 4       <NA>      <NA> MULTIPOLYGON (((-75.30428 2...
## 5       <NA>      <NA> MULTIPOLYGON (((-75.9259 1....
## 6       <NA>      <NA> MULTIPOLYGON (((-74.9553 3....
## 7       <NA>      <NA> MULTIPOLYGON (((-75.38387 2...
## 8       <NA>      <NA> MULTIPOLYGON (((-74.9553 3....
## 9       <NA>      <NA> MULTIPOLYGON (((-76.07361 1...
## 10      <NA>      <NA> MULTIPOLYGON (((-75.76563 2...

transformamos a la proyeccion

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

Let’s get the bounding box of our area of interest:

(bbox <- st_bbox(huila_igh))

##       xmin       ymin       xmax       ymax 
## -8533275.8   166252.4 -8299960.7   423893.6

vamos a definir los limites para que GDA libraryl use las cordenadas.

ulx = bbox$xmin
uly = bbox$ymax
lrx= bbox$xmax
lry = bbox$ymin
(bb2 <- c(ulx, uly, lrx, lry))

##       xmin       ymax       xmax       ymin 
## -8533275.8   423893.6 -8299960.7   166252.4

le pasa un URL le dice que datos necesita y como se llama el archivo que voy a descargas

si yo quisiera que fuera eso en otra profundidad

el anterio limitaba para el area que necesitaba

sg_url="/vsicurl/https://files.isric.org/soilgrids/latest/data/"
datos = 'soc/soc_30-60cm_mean.vrt'
file = "soc_igh_30_60.tif"

# UNCOMMENT FOR FIRST TIME USE
# THEN, COMMENT IT BACK
gdal_translate(paste0(sg_url,datos), file ,
               tr=c(250,250),
              projwin=bb2,
              projwin_srs =igh)

se divide por 10 porque las unidades estaban en la tabla

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

## class       : SpatRaster 
## size        : 1031, 935, 1  (nrow, ncol, nlyr)
## resolution  : 250, 250  (x, y)
## extent      : -8533500, -8299750, 166250, 424000  (xmin, xmax, ymin, ymax)
## coord. ref. : Interrupted_Goode_Homolosine 
## source(s)   : memory
## varname     : soc_igh_30_60 
## name        : soc_igh_30_60 
## min value   :           5.6 
## max value   :         100.4

ls(pattern = "soc|huila")

## [1] "huila"     "huila_igh" "huila_soc"

sapply(ls(), function(x) class(get(x)))

## $bb2
## [1] "numeric"
## 
## $bbox
## [1] "bbox"
## 
## $datos
## [1] "character"
## 
## $depth
## [1] "character"
## 
## $file
## [1] "character"
## 
## $huila
## [1] "sf"         "data.frame"
## 
## $huila_igh
## [1] "sf"         "data.frame"
## 
## $huila_soc
## [1] "SpatRaster"
## attr(,"package")
## [1] "terra"
## 
## $igh
## [1] "character"
## 
## $layer
## [1] "character"
## 
## $lrx
## [1] "numeric"
## 
## $lry
## [1] "numeric"
## 
## $quantile
## [1] "character"
## 
## $sg_url
## [1] "character"
## 
## $ulx
## [1] "numeric"
## 
## $uly
## [1] "numeric"
## 
## $url
## [1] "character"
## 
## $variable
## [1] "character"
## 
## $voi
## [1] "character"
## 
## $vrt_layer
## [1] "character"

4.Exploracion de datos

Enseguida vamos a tener un histograma para ver la distribucion de los datos

terra::hist(huila_soc)

un resumen de los datos

summary(huila_soc)

## Warning: [summary] used a sample

##  soc_igh_30_60 
##  Min.   : 5.9  
##  1st Qu.:14.9  
##  Median :23.4  
##  Mean   :26.7  
##  3rd Qu.:36.5  
##  Max.   :97.6  
##  NA's   :820

cambiamos el nombre del atributo

(names(huila_soc) <-  "soc")

## [1] "soc"

vamos a colocar los valores en una variable na=no atribbute. rm=remove

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

vamos a crear una paleta de colores, y una segunda opcion de visualizacion mas adelante

# change as needed
orangecyan <- colorNumeric(c("orange","yellow2", "darkseagreen", "cyan" ), valores,
  na.color = "transparent")

blue_palette <- colorNumeric(
  palette = c("lightblue", "blue", "darkblue"),
  domain = valores,
  na.color = "transparent"
)

ahora vamos a visualizar el contenido de carbono organico en el departamento de huila

Bounding box: xmin

leaflet::leaflet(huila) %>% 
  addTiles() %>% 
  setView(-75.9, 2.3, 9) %>% 
  addPolygons(
    color = "gray", 
    weight = 2.0, 
    smoothFactor = 0.5,
    opacity = 0.5, 
    fillOpacity = 0.10,
    popup = paste("Municipio: ", huila$munic_huila)  # Sin paréntesis extra
  ) %>%
  addRasterImage(huila_soc, colors = blue_palette, opacity = 0.8) %>%
  addLegend(
    pal = blue_palette, 
    values = valores, 
    title = "Carbono Orgánico del Suelo (SOC) [g/kg]"
  )

5. Visualización alternativa (20%)

En la siguiente sección, pruebe una visualización diferente de sus datos de SOC. Se recomienda usar tidyterra.

# Crear el objeto huila_sf a partir de los datos de huila
huila_sf <- st_as_sf(huila)

# Crear el objeto huila_sf a partir de los datos de huila
huila_sf <- st_as_sf(huila)

# Visualización con demarcación de municipios del Huila
ggplot() +
  # Capa del raster de SOC
  geom_spatraster(data = huila_soc) +
  # Capa de límites municipales
  geom_sf(data = huila_sf, fill = NA, color = "black", linewidth = 0.3, alpha = 0.6) +
  scale_fill_distiller(
    palette = "Blues",
    direction = 1,
    name = "SOC (g/kg)",
    na.value = "transparent"
  ) +
  labs(
    title = "Carbono Orgánico del Suelo en el Departamento de Huila",
    subtitle = "Profundidad: 30-60 cm | Líneas negras: Límites municipales",
    caption = "Fuente: SoilGrids - ISRIC"
  ) +
  theme_minimal() +
  theme(
    plot.title = element_text(face = "bold", size = 14),
    plot.subtitle = element_text(size = 10),
    legend.position = "right"
  )

## <SpatRaster> resampled to 500782 cells.

6. Muestreando el mundo

Supongamos que también nos interesa obtener una muestra del conjunto de datos SOC. En este cuaderno, utilizaremos la biblioteca Terra para tal fin. Consulte aquí cómo funciona la función para comprender el siguiente fragmento de código.

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

## class       : SpatRaster 
## size        : 1041, 965, 1  (nrow, ncol, nlyr)
## resolution  : 0.002225139, 0.002225139  (x, y)
## extent      : -76.6498, -74.50254, 1.492487, 3.808857  (xmin, xmax, ymin, ymax)
## coord. ref. : +proj=longlat +datum=WGS84 +no_defs 
## source(s)   : memory
## name        :      soc 
## min value   :  5.87437 
## max value   : 97.66674

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

##  class       : SpatVector 
##  geometry    : points 
##  dimensions  : 2000, 1  (geometries, attributes)
##  extent      : -76.64869, -74.50366, 1.4936, 3.807744  (xmin, xmax, ymin, ymax)
##  coord. ref. : +proj=longlat +datum=WGS84 +no_defs 
##  names       :   soc
##  type        : <num>
##  values      : 11.83
##                39.37
##                18.87

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

## Simple feature collection with 2000 features and 1 field
## Geometry type: POINT
## Dimension:     XY
## Bounding box:  xmin: -76.64869 ymin: 1.4936 xmax: -74.50366 ymax: 3.807744
## 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  11.83163 POINT (-76.55523 3.289287)
## 2  39.36605 POINT (-76.47735 2.227896)
## 3  18.86990 POINT (-75.15785 3.404994)
## 4  26.21864 POINT (-75.05327 2.158916)
## 5        NA POINT (-74.85078 3.803294)
## 6  21.32960  POINT (-76.3928 2.955516)
## 7  14.21740 POINT (-75.36256 3.278161)
## 8  21.67919  POINT (-74.7462 3.320439)
## 9  39.36123  POINT (-76.29934 2.69295)
## 10 11.65979 POINT (-75.70746 2.492687)

Omitamos los valores NA:

nmuestras <- na.omit(muestras)

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

¿Qué tenemos?

summary(soc)

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   6.981  15.654  23.864  27.322  37.829  75.587

length(soc)

## [1] 1937

¿Cuántas muestras no contenían datos válidos?

id <- seq(1,1937,1)
(sitios <- data.frame(id, longit, latit, soc))

##        id    longit    latit       soc
## 1       1 -76.55523 3.289287 11.831634
## 2       2 -76.47735 2.227896 39.366051
## 3       3 -75.15785 3.404994 18.869902
## 4       4 -75.05327 2.158916 26.218639
## 5       5 -76.39280 2.955516 21.329599
## 6       6 -75.36256 3.278161 14.217398
## 7       7 -74.74620 3.320439 21.679188
## 8       8 -76.29934 2.692950 39.361225
## 9       9 -75.70746 2.492687 11.659793
## 10     10 -74.91753 3.095700 41.789795
## 11     11 -75.12002 2.332477 15.432560
## 12     12 -74.89751 1.998706  9.359759
## 13     13 -76.34162 1.640459 71.729950
## 14     14 -75.39371 2.109963 36.104691
## 15     15 -76.21701 1.882999 17.248247
## 16     16 -74.63271 1.960879  9.528604
## 17     17 -75.36924 2.844259 14.859043
## 18     18 -74.82185 2.563892 13.815511
## 19     19 -75.35588 3.373842 17.846922
## 20     20 -75.74306 3.186931 33.277557
## 21     21 -75.49384 2.797531 16.196407
## 22     22 -75.23128 3.351591 11.214176
## 23     23 -74.65942 3.631958 41.977200
## 24     24 -75.81426 2.641772 20.340492
## 25     25 -75.90994 2.755254 37.071125
## 26     26 -75.28468 3.618607 16.030777
## 27     27 -75.93665 2.643997 21.167616
## 28     28 -76.56636 3.752116 13.669043
## 29     29 -76.30379 1.506951 49.229824
## 30     30 -75.34253 2.944390 13.762552
## 31     31 -76.04123 2.612845 24.610172
## 32     32 -75.60733 2.744128 17.520262
## 33     33 -75.23795 3.507351 19.415342
## 34     34 -75.40261 3.752116 13.885691
## 35     35 -76.37277 1.529202 46.997509
## 36     36 -74.75510 3.004469 40.284531
## 37     37 -76.24594 2.648447 54.388725
## 38     38 -74.77735 2.617295 14.673801
## 39     39 -76.53743 3.605257 15.540401
## 40     40 -75.14895 1.789543 18.801180
## 41     41 -75.05327 3.460623 13.318049
## 42     42 -76.11243 2.461535 52.721210
## 43     43 -75.27133 3.596356 13.941631
## 44     44 -74.61046 2.125539  7.610785
## 45     45 -76.33050 3.011145 26.493717
## 46     46 -74.96426 3.184705 36.268398
## 47     47 -76.23926 1.887450 23.455717
## 48     48 -76.03900 2.018733 19.407465
## 49     49 -75.77644 2.103288 12.060967
## 50     50 -75.51387 2.690725 12.739614
## 51     51 -75.12447 2.254597 21.785946
## 52     52 -75.41596 3.580780 11.933991
## 53     53 -75.98560 2.519389 23.440321
## 54     54 -75.59397 1.854072 18.799547
## 55     55 -74.87303 2.127765  9.088675
## 56     56 -76.20589 2.265723 38.376858
## 57     57 -76.01675 2.185618 33.796772
## 58     58 -76.32382 2.067686 41.927399
## 59     59 -75.31583 2.855385  9.868144
## 60     60 -74.90418 2.003157  8.840214
## 61     61 -75.25353 2.744128 17.125292
## 62     62 -75.24685 3.233658 11.442399
## 63     63 -76.35275 1.925277 34.700146
## 64     64 -75.69856 1.896350 35.047791
## 65     65 -75.33141 2.359179 42.997601
## 66     66 -75.97225 1.969780 24.387913
## 67     67 -74.72617 2.459310 11.922246
## 68     68 -75.32696 1.709438 21.875921
## 69     69 -76.22814 1.667161 57.000259
## 70     70 -76.05235 2.995569 49.030556
## 71     71 -74.61046 3.140203 15.004570
## 72     72 -74.72172 2.072136  7.449479
## 73     73 -75.97225 3.647534 39.705936
## 74     74 -76.13246 3.743215 31.228287
## 75     75 -75.08887 3.571880 20.840818
## 76     76 -75.84764 3.193606 52.474972
## 77     77 -75.70078 1.947528 24.709461
## 78     78 -76.48626 2.127765 51.892609
## 79     79 -74.81518 2.570567 19.343515
## 80     80 -75.40484 1.834046 14.997602
## 81     81 -74.67499 3.347141 38.617905
## 82     82 -76.02565 2.659573 36.580173
## 83     83 -75.47827 2.552766 11.387778
## 84     84 -76.45510 3.082349 15.273064
## 85     85 -75.76531 3.146878 40.585831
## 86     86 -75.72748 2.534965 16.399456
## 87     87 -75.48494 2.138890 49.558086
## 88     88 -75.99895 2.528289 20.633833
## 89     89 -75.09109 3.384968 12.817538
## 90     90 -75.74083 2.343603 24.968027
## 91     91 -74.74842 3.429471 18.167318
## 92     92 -75.60733 2.150016 19.881575
## 93     93 -76.57304 2.606169 21.422583
## 94     94 -74.72395 2.902113 32.855686
## 95     95 -76.36610 2.623970 36.827469
## 96     96 -75.57172 1.931952 17.357306
## 97     97 -75.67630 2.719651 28.660072
## 98     98 -75.23128 3.685362 16.204706
## 99     99 -75.72081 2.534965 14.030035
## 100   100 -76.04790 2.365854 43.450714
## 101   101 -75.75863 2.813107 37.525265
## 102   102 -74.60601 1.607082 10.008355
## 103   103 -76.01898 3.028946 48.821278
## 104   104 -75.31583 2.072136 14.141315
## 105   105 -76.17474 3.600806 16.706968
## 106   106 -74.93978 2.494912 20.356672
## 107   107 -75.32251 1.658260 18.811987
## 108   108 -76.06348 3.126852 51.470169
## 109   109 -74.66832 1.495825  8.061670
## 110   110 -74.82185 3.015595 45.169834
## 111   111 -75.30693 3.222533 12.505847
## 112   112 -76.00563 2.879861 60.281704
## 113   113 -76.07015 2.054335 34.717415
## 114   114 -75.67408 2.868736 40.894608
## 115   115 -74.94201 3.729864 10.440158
## 116   116 -75.81426 3.500675 33.565346
## 117   117 -75.93887 1.511401 25.529261
## 118   118 -74.71282 3.002244 36.152721
## 119   119 -75.88324 2.868736 46.196411
## 120   120 -75.13337 3.732090 25.821692
## 121   121 -74.89083 3.794393 13.932695
## 122   122 -74.64162 2.824233 33.658676
## 123   123 -74.50811 3.700938 35.026779
## 124   124 -75.85877 3.186931 45.564274
## 125   125 -76.60641 2.899888 28.908213
## 126   126 -74.67499 2.875411 44.376537
## 127   127 -76.11021 1.996481 21.237375
## 128   128 -74.97761 2.699625 45.949833
## 129   129 -74.99764 2.951066 27.546303
## 130   130 -76.10353 3.689812 61.456314
## 131   131 -74.56374 3.413895 32.141296
## 132   132 -74.83298 2.514939 15.361964
## 133   133 -75.88102 2.341378 27.402828
## 134   134 -76.27042 1.589281 56.501434
## 135   135 -75.55837 3.142428 33.805008
## 136   136 -75.60510 1.538103 23.772524
## 137   137 -76.35275 1.911926 21.312546
## 138   138 -76.40838 2.684049 42.106770
## 139   139 -75.80981 3.678686 57.775883
## 140   140 -74.51478 3.469523 43.644798
## 141   141 -76.52186 2.368079 35.436642
## 142   142 -75.40039 2.597269  7.992285
## 143   143 -74.53703 2.423708 10.044120
## 144   144 -75.93220 2.132215 42.428318
## 145   145 -75.91884 3.801069 55.260220
## 146   146 -75.16452 2.043209 22.598637
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## 624   624 -74.58821 3.068998 36.882298
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## 630   630 -75.68521 2.214545  9.974675
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## 875   875 -75.92997 2.837584 46.556217
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## 878   878 -75.58730 1.662711 35.372429
## 879   879 -75.68966 3.035621 34.496059
## 880   880 -74.90418 2.615070 40.425957
## 881   881 -75.98782 2.252372 19.408388
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## 883   883 -75.34253 1.620433 19.796865
## 884   884 -75.95445 2.962192 43.090569
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## 891   891 -75.94555 3.536277 40.723495
## 892   892 -75.83429 3.738765 55.873222
## 893   893 -75.03324 3.554078 11.384827
## 894   894 -74.55261 1.522527  7.509285
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## 900   900 -76.55968 1.498050 34.327183
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## 904   904 -75.98115 1.520302 28.554422
## 905   905 -75.75196 1.587056 14.928403
## 906   906 -76.31492 1.538103 51.481140
## 907   907 -75.02211 2.161142 29.696096
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## 911   911 -75.39371 2.118864 34.827915
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## 913   913 -75.06884 2.437059 26.644331
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## 915   915 -76.57304 2.147791 37.806015
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## 917   917 -74.58376 1.669386 11.907513
## 918   918 -75.63180 3.015595 39.459980
## 919   919 -74.57264 1.684962  9.580633
## 920   920 -75.99005 2.991118 44.333130
## 921   921 -75.88769 2.550541 18.843199
## 922   922 -75.49829 2.477111 14.057182
## 923   923 -75.27133 2.207869 23.298748
## 924   924 -75.22238 3.551853 23.650772
## 925   925 -76.25262 2.986668 25.315971
## 926   926 -74.61046 2.374755  9.255898
## 927   927 -74.67054 2.937715 24.355047
## 928   928 -76.12801 3.055647 52.839130
## 929   929 -75.00876 1.871874 16.915064
## 930   930 -75.42486 2.421483 28.403141
## 931   931 -74.78402 1.609307  7.840223
## 932   932 -76.21256 2.376980 45.746681
## 933   933 -75.84542 3.407219 44.286636
## 934   934 -75.15785 2.737453 26.500893
## 935   935 -74.59711 3.740990 46.114311
## 936   936 -75.77199 3.778817 56.261181
## 937   937 -75.19122 1.522527 17.627668
## 938   938 -75.05327 2.770830 41.292145
## 939   939 -76.05458 1.776193 17.191893
## 940   940 -75.30026 3.745440 14.663691
## 941   941 -76.41283 2.975542 15.561709
## 942   942 -76.15248 2.859835 40.587425
## 943   943 -76.59529 3.340465 28.499426
## 944   944 -75.65850 3.393868 21.330069
## 945   945 -74.54816 3.215857 16.228191
## 946   946 -75.18900 2.287974 21.308718
## 947   947 -76.27709 1.767292 49.378029
## 948   948 -75.33586 1.609307 18.130962
## 949   949 -75.16230 3.382743 10.508327
## 950   950 -76.37945 2.234571 41.781364
## 951   951 -75.87434 1.736140 22.207947
## 952   952 -75.63180 2.717426 21.672518
## 953   953 -74.71504 2.443734 10.571961
## 954   954 -75.08664 1.531427 12.839674
## 955   955 -75.22238 1.856298 15.976119
## 956   956 -76.17029 3.382743 20.209398
## 957   957 -75.61400 2.250147 16.241617
## 958   958 -74.71727 2.737453 19.625343
## 959   959 -75.73193 1.526977 14.071838
## 960   960 -75.48717 3.135752 14.477347
## 961   961 -76.39502 2.308001 69.891632
## 962   962 -76.13913 1.682737 29.947794
## 963   963 -75.95667 1.887450 21.317968
## 964   964 -75.41374 1.831821 19.262716
## 965   965 -76.29934 1.555904 48.520996
## 966   966 -75.86989 1.782868 19.155142
## 967   967 -76.62421 2.374755 35.867062
## 968   968 -76.23036 3.275936 11.984233
## 969   969 -75.48049 2.503813 17.899675
## 970   970 -74.83298 2.196744 15.967588
## 971   971 -74.79960 2.003157 22.844019
## 972   972 -76.22814 2.592818 44.068504
## 973   973 -74.58376 1.796219  8.480491
## 974   974 -76.13023 2.388106 44.531548
## 975   975 -76.28154 3.342690  9.400873
## 976   976 -76.01453 3.738765 44.396164
## 977   977 -76.25262 2.165592 52.514912
## 978   978 -76.20589 1.747266 23.038574
## 979   979 -75.77421 1.529202 20.673149
## 980   980 -75.72303 3.086799 39.586720
## 981   981 -74.91086 2.692950 21.902534
## 982   982 -76.54188 3.680911 18.455677
## 983   983 -76.08573 3.035621 47.211834
## 984   984 -74.55929 3.420570 27.418915
## 985   985 -75.84319 2.984443 43.963051
## 986   986 -75.05104 1.589281 16.534071
## 987   987 -76.23481 2.575017 44.414104
## 988   988 -75.33586 3.542953 17.609535
## 989   989 -76.07460 2.799756 27.119848
## 990   990 -75.25130 2.784180 11.427161
## 991   991 -75.46714 2.817558 10.931799
## 992   992 -76.29489 3.558529 14.396767
## 993   993 -76.39057 1.805119 54.666805
## 994   994 -74.78180 3.418345 24.101166
## 995   995 -76.25929 1.785093 37.505943
## 996   996 -75.83874 3.718739 39.852386
## 997   997 -76.20589 2.181168 55.485523
## 998   998 -76.44398 3.060098 12.603131
## 999   999 -76.31492 3.776592 13.763777
## 1000 1000 -76.32827 1.618208 62.871132
## 1001 1001 -74.83075 3.391643 21.616043
## 1002 1002 -75.25353 2.016508 20.018002
## 1003 1003 -75.53612 3.627508 16.364603
## 1004 1004 -74.74175 2.753028 34.900009
## 1005 1005 -75.17787 3.109051 15.156384
## 1006 1006 -74.56374 1.551454 15.883218
## 1007 1007 -76.13246 2.615070 34.923794
## 1008 1008 -75.79646 3.369392 38.969078
## 1009 1009 -75.39371 2.606169 10.865102
## 1010 1010 -75.62290 3.649759 20.289621
## 1011 1011 -75.73638 2.924364 45.605682
## 1012 1012 -75.67853 3.362716 24.802519
## 1013 1013 -75.18010 3.380518  8.797066
## 1014 1014 -75.02211 3.106826 19.891088
## 1015 1015 -76.59306 2.853160 44.754639
## 1016 1016 -75.49384 3.153553 23.979092
## 1017 1017 -75.70523 2.007607 22.256533
## 1018 1018 -74.66609 1.560354  7.324028
## 1019 1019 -74.56819 2.000932  8.231145
## 1020 1020 -74.90196 2.755254 27.353233
## 1021 1021 -76.54856 2.902113 16.433733
## 1022 1022 -76.60419 3.696487 16.613148
## 1023 1023 -75.57172 2.886537 30.380157
## 1024 1024 -76.52408 3.729864 17.954781
## 1025 1025 -76.26819 1.798444 38.110817
## 1026 1026 -74.87303 1.963104  9.131010
## 1027 1027 -75.58952 3.763241 29.505634
## 1028 1028 -76.53521 2.655122 22.180220
## 1029 1029 -75.12670 2.410357 26.621071
## 1030 1030 -75.86322 3.129077 50.779083
## 1031 1031 -75.41374 2.381430 33.302193
## 1032 1032 -76.48626 2.528289 32.291431
## 1033 1033 -75.09332 2.959966 13.579245
## 1034 1034 -75.02879 2.764154 45.983810
## 1035 1035 -74.54816 2.606169 12.092120
## 1036 1036 -75.07774 2.715201 32.141968
## 1037 1037 -75.13782 2.034309 18.669109
## 1038 1038 -75.26465 3.300413 16.572632
## 1039 1039 -75.04882 3.233658 20.268011
## 1040 1040 -76.51073 1.909701 46.190369
## 1041 1041 -74.72840 3.607482 25.343622
## 1042 1042 -74.74842 3.436146 21.800974
## 1043 1043 -74.83075 3.758791 26.606104
## 1044 1044 -75.17342 2.501588 41.735096
## 1045 1045 -74.86858 1.542553  8.946409
## 1046 1046 -74.77957 2.850935 41.814838
## 1047 1047 -74.88416 2.753028 33.637070
## 1048 1048 -75.25130 1.956429 24.099825
## 1049 1049 -74.59711 1.809570  7.974666
## 1050 1050 -75.50942 2.417033 20.212429
## 1051 1051 -74.83520 3.393868 23.236452
## 1052 1052 -76.23036 2.882087 39.823910
## 1053 1053 -74.57264 3.220308 25.506933
## 1054 1054 -76.04790 1.809570 15.792470
## 1055 1055 -75.74083 2.755254 26.066906
## 1056 1056 -74.66832 2.957741 36.094952
## 1057 1057 -75.52722 1.762842 18.978653
## 1058 1058 -75.42709 2.372530 43.849075
## 1059 1059 -75.88547 2.381430 15.418085
## 1060 1060 -76.47290 2.141115 35.195210
## 1061 1061 -75.70523 2.392556 24.074305
## 1062 1062 -76.14358 1.969780 21.698217
## 1063 1063 -74.57709 3.560754 41.495583
## 1064 1064 -76.25707 3.660885 11.032549
## 1065 1065 -76.04568 1.662711 24.843466
## 1066 1066 -75.00209 2.668473 30.237858
## 1067 1067 -76.33050 1.535878 48.946621
## 1068 1068 -76.47068 1.854072 57.623680
## 1069 1069 -74.94868 2.107738 16.943722
## 1070 1070 -76.20811 1.756166 25.400448
## 1071 1071 -75.94555 1.624883 41.418312
## 1072 1072 -74.69502 3.198056 39.790470
## 1073 1073 -75.41819 2.123314 42.739876
## 1074 1074 -76.21924 3.351591 11.737195
## 1075 1075 -76.27932 1.756166 70.470291
## 1076 1076 -76.54856 1.725014 48.548302
## 1077 1077 -76.38167 2.735227 38.899178
## 1078 1078 -75.60065 2.795306 23.722939
## 1079 1079 -74.69502 3.740990 31.346708
## 1080 1080 -75.82984 2.581693 16.501842
## 1081 1081 -76.61309 2.508263 24.953403
## 1082 1082 -75.48049 3.024495 23.239082
## 1083 1083 -75.93665 1.931952 19.887365
## 1084 1084 -74.62826 2.697400 29.685905
## 1085 1085 -75.29581 3.318214 17.231506
## 1086 1086 -75.44934 3.574105 13.652317
## 1087 1087 -75.80536 1.609307 14.376575
## 1088 1088 -74.85078 3.420570 26.897970
## 1089 1089 -75.55170 3.772142 13.712960
## 1090 1090 -75.52055 1.874099 20.041203
## 1091 1091 -74.86635 3.344915 17.817646
## 1092 1092 -76.33940 2.486012 39.904144
## 1093 1093 -74.59266 3.046747 53.015896
## 1094 1094 -74.56151 3.429471 42.253082
## 1095 1095 -75.42264 1.827371 19.017979
## 1096 1096 -75.52055 2.254597 22.478157
## 1097 1097 -75.62735 2.786406 33.725224
## 1098 1098 -75.97002 1.809570 17.416073
## 1099 1099 -74.71504 1.704988 12.584767
## 1100 1100 -75.60955 1.956429 31.135555
## 1101 1101 -75.57395 2.283524 16.563217
## 1102 1102 -76.52408 2.677374 22.884367
## 1103 1103 -75.77421 3.583005 27.387945
## 1104 1104 -75.46047 3.249234 14.595720
## 1105 1105 -74.67944 3.307088 29.901228
## 1106 1106 -76.17696 3.278161 22.174376
## 1107 1107 -76.56859 3.494000 17.380579
## 1108 1108 -75.51832 2.755254 16.838781
## 1109 1109 -75.60955 1.544778 28.449236
## 1110 1110 -76.53521 3.133527 10.452915
## 1111 1111 -76.44398 1.509176 53.484356
## 1112 1112 -75.46047 3.560754 16.533396
## 1113 1113 -75.70078 3.307088 26.550602
## 1114 1114 -75.11557 3.336015 25.877398
## 1115 1115 -75.75863 3.149103 32.742683
## 1116 1116 -76.48181 1.876324 49.577133
## 1117 1117 -74.63271 1.636009  8.316561
## 1118 1118 -75.14005 1.989806 17.994692
## 1119 1119 -76.39502 2.875411 34.488007
## 1120 1120 -76.33272 2.105513 43.609631
## 1121 1121 -75.44044 2.822008 13.735614
## 1122 1122 -74.77512 3.740990 19.537872
## 1123 1123 -76.44843 3.046747  9.416368
## 1124 1124 -76.61309 1.882999 41.649799
## 1125 1125 -74.83520 1.983130  8.564993
## 1126 1126 -74.63049 2.101063  7.838225
## 1127 1127 -75.19567 2.394781 28.787735
## 1128 1128 -76.49293 3.723189 19.199261
## 1129 1129 -75.68298 2.339153 21.971313
## 1130 1130 -75.97225 3.763241 44.053196
## 1131 1131 -75.36701 3.500675 12.262083
## 1132 1132 -74.85745 3.409444 26.894741
## 1133 1133 -76.26374 1.598181 64.869453
## 1134 1134 -75.00876 3.293737 14.769285
## 1135 1135 -75.70523 2.590593 14.236054
## 1136 1136 -76.01453 2.523839 21.876436
## 1137 1137 -76.30157 2.503813 37.383041
## 1138 1138 -75.22905 3.591906 15.636609
## 1139 1139 -75.30026 1.776193 14.047926
## 1140 1140 -75.90104 2.374755 29.478800
## 1141 1141 -75.93665 3.280386 46.200821
## 1142 1142 -75.91884 3.137977 48.234444
## 1143 1143 -75.80759 1.555904 14.700216
## 1144 1144 -75.91662 2.902113 33.855724
## 1145 1145 -75.21570 3.117951 14.681726
## 1146 1146 -75.16007 2.615070 41.457588
## 1147 1147 -75.21348 1.509176 19.885319
## 1148 1148 -75.89659 2.964417 40.603466
## 1149 1149 -76.54411 2.020958 60.965164
## 1150 1150 -76.43730 3.106826  9.091301
## 1151 1151 -76.19921 2.223445 40.202732
## 1152 1152 -75.89659 3.068998 31.955465
## 1153 1153 -75.90104 2.198969 29.850439
## 1154 1154 -75.12892 1.500275 12.064734
## 1155 1155 -75.43376 2.764154 12.394535
## 1156 1156 -75.30248 1.802894 17.725224
## 1157 1157 -75.49829 2.145566 44.255268
## 1158 1158 -75.06439 3.672011 11.715049
## 1159 1159 -75.65850 2.247922  8.975683
## 1160 1160 -76.11466 3.373842 41.972889
## 1161 1161 -75.69188 2.314676 13.324435
## 1162 1162 -74.63271 2.817558 35.340775
## 1163 1163 -75.68298 3.166904 25.178207
## 1164 1164 -74.73285 1.575930 12.584332
## 1165 1165 -75.55392 2.759704 17.719358
## 1166 1166 -75.00431 1.983130 11.833385
## 1167 1167 -75.21348 1.907476 14.352174
## 1168 1168 -75.23350 2.308001 44.959793
## 1169 1169 -74.94423 1.800669  9.456024
## 1170 1170 -75.75863 1.847397 21.220198
## 1171 1171 -76.24149 1.522527 63.191498
## 1172 1172 -75.83429 3.425020 36.730038
## 1173 1173 -75.70746 3.280386 34.646030
## 1174 1174 -75.15117 1.582606 11.520272
## 1175 1175 -74.80405 1.745041 19.959209
## 1176 1176 -76.03455 2.541640 36.281532
## 1177 1177 -75.23128 3.091250 15.286325
## 1178 1178 -75.21793 3.146878 16.503817
## 1179 1179 -75.22905 2.953291  8.831550
## 1180 1180 -75.21125 3.342690  8.015724
## 1181 1181 -75.18455 1.495825 10.519928
## 1182 1182 -74.87971 3.068998 38.734398
## 1183 1183 -75.17342 1.894125 15.540511
## 1184 1184 -75.66740 1.829596 18.386061
## 1185 1185 -75.12225 2.733002 41.466400
## 1186 1186 -75.70078 1.985356 21.995180
## 1187 1187 -76.22814 3.465073 12.581374
## 1188 1188 -76.58639 2.281299 34.509613
## 1189 1189 -75.24018 1.553679 14.078368
## 1190 1190 -75.57840 3.304863 21.623459
## 1191 1191 -76.44620 2.706301 38.942722
## 1192 1192 -75.90772 2.766379 37.757175
## 1193 1193 -75.32473 2.143340 19.922256
## 1194 1194 -75.29358 3.364942 16.081827
## 1195 1195 -75.73416 3.282611 21.627775
## 1196 1196 -75.12892 3.514026  8.983976
## 1197 1197 -74.85523 2.868736 57.114040
## 1198 1198 -75.15562 3.213632 31.001123
## 1199 1199 -75.37369 3.378292 14.862710
## 1200 1200 -76.33717 2.944390 38.930077
## 1201 1201 -76.28822 2.759704 32.396202
## 1202 1202 -76.17474 2.083262 39.261784
## 1203 1203 -75.89659 2.136665 38.275238
## 1204 1204 -75.62958 3.511801 15.682925
## 1205 1205 -75.62735 3.792168 37.363476
## 1206 1206 -74.91531 2.047660  7.631577
## 1207 1207 -75.72971 2.915464 38.553883
## 1208 1208 -74.96204 3.542953 21.547646
## 1209 1209 -75.45602 3.789943 11.814643
## 1210 1210 -75.55392 2.036534 22.114939
## 1211 1211 -74.54148 3.529602 49.814331
## 1212 1212 -75.47827 2.154466 44.341431
## 1213 1213 -76.40170 2.824233 31.879473
## 1214 1214 -76.17029 2.025408 27.800838
## 1215 1215 -75.99450 2.675149 22.284124
## 1216 1216 -74.87971 1.587056  8.066002
## 1217 1217 -74.62381 3.720964 37.634705
## 1218 1218 -75.19567 3.233658 20.926666
## 1219 1219 -74.72172 1.542553 15.045612
## 1220 1220 -75.83429 2.401457 19.252197
## 1221 1221 -75.44712 3.522926 14.149210
## 1222 1222 -75.00876 2.319126 24.599863
## 1223 1223 -76.13023 3.498450 24.483221
## 1224 1224 -75.34031 2.946616 13.127398
## 1225 1225 -76.14136 3.743215 27.913300
## 1226 1226 -75.00654 2.719651 37.315079
## 1227 1227 -76.01008 3.160229 30.984234
## 1228 1228 -76.26819 2.606169 45.430290
## 1229 1229 -76.41728 1.896350 41.291759
## 1230 1230 -74.79070 2.408132 15.675485
## 1231 1231 -76.11466 1.771742 22.128099
## 1232 1232 -74.84188 3.298187 26.835384
## 1233 1233 -75.98560 2.886537 61.269909
## 1234 1234 -76.08573 2.403682 44.449623
## 1235 1235 -76.37945 3.645309 11.505816
## 1236 1236 -76.15916 2.877636 50.491398
## 1237 1237 -75.69633 1.951979 27.091705
## 1238 1238 -75.05994 3.137977 16.126553
## 1239 1239 -74.56596 2.728552 39.828609
## 1240 1240 -75.05772 3.295962 15.492208
## 1241 1241 -76.34607 2.666248 42.589691
## 1242 1242 -76.11021 2.606169 31.018141
## 1243 1243 -75.32696 2.330252 37.126606
## 1244 1244 -75.08442 2.661798 30.757805
## 1245 1245 -75.96780 2.056560 24.793156
## 1246 1246 -76.19031 2.459310 46.318222
## 1247 1247 -76.12801 3.603031 25.413525
## 1248 1248 -76.04790 3.331565 55.475990
## 1249 1249 -76.20144 1.896350 23.281958
## 1250 1250 -76.58861 3.235884 10.390012
## 1251 1251 -74.63717 1.967555  8.619038
## 1252 1252 -76.08128 2.074361 44.227612
## 1253 1253 -75.98115 3.166904 61.822453
## 1254 1254 -74.79515 1.749491 10.752193
## 1255 1255 -75.37591 1.633784 26.899664
## 1256 1256 -74.92421 3.028946 49.369656
## 1257 1257 -75.15785 1.829596 18.682173
## 1258 1258 -75.80314 1.885224 12.485812
## 1259 1259 -74.96204 2.405907 12.616405
## 1260 1260 -76.29934 2.040984 38.753269
## 1261 1261 -74.91308 3.055647 44.888657
## 1262 1262 -74.75287 1.582606 10.655390
## 1263 1263 -75.38036 2.319126 52.441589
## 1264 1264 -76.61531 1.943078 37.550201
## 1265 1265 -75.10889 3.765467 39.186474
## 1266 1266 -75.96112 3.420570 43.748913
## 1267 1267 -74.62604 3.307088 31.858381
## 1268 1268 -74.50588 3.716514 30.704504
## 1269 1269 -76.29044 2.479336 44.618336
## 1270 1270 -75.15340 3.556304 12.567409
## 1271 1271 -74.92643 2.884312 26.877171
## 1272 1272 -74.58154 2.020958  7.624670
## 1273 1273 -75.85877 1.667161 24.692259
## 1274 1274 -75.60288 2.893212 27.603392
## 1275 1275 -76.49738 1.740590 56.985561
## 1276 1276 -76.47735 2.012057 55.071827
## 1277 1277 -76.32827 1.829596 34.564983
## 1278 1278 -75.09109 1.535878 14.637612
## 1279 1279 -75.12670 3.516251  8.561991
## 1280 1280 -76.39280 1.660485 62.557877
## 1281 1281 -76.63311 2.341378 40.916622
## 1282 1282 -75.87212 1.918601 19.675770
## 1283 1283 -74.98206 2.895437 39.155266
## 1284 1284 -74.66832 2.009832  8.052523
## 1285 1285 -75.14227 2.321352 16.839958
## 1286 1286 -75.76976 2.628421 20.265572
## 1287 1287 -75.70523 3.554078 21.873783
## 1288 1288 -74.67722 3.035621 32.935581
## 1289 1289 -74.82185 2.906563 58.113697
## 1290 1290 -75.94555 3.033396 46.443314
## 1291 1291 -76.47735 1.871874 51.115898
## 1292 1292 -76.18364 3.389418 23.863895
## 1293 1293 -75.54057 2.697400 22.728291
## 1294 1294 -75.97447 2.830908 37.573402
## 1295 1295 -75.72081 3.120176 32.267017
## 1296 1296 -75.16452 3.487324 10.888148
## 1297 1297 -75.92775 2.056560 15.070085
## 1298 1298 -74.98429 3.080124 31.069693
## 1299 1299 -75.58062 2.314676 20.859955
## 1300 1300 -76.34385 1.600407 61.479473
## 1301 1301 -75.32473 1.504726 23.777531
## 1302 1302 -75.13560 1.865198 19.120493
## 1303 1303 -74.74842 2.534965 10.352692
## 1304 1304 -75.18010 1.578155 41.570610
## 1305 1305 -74.89528 3.171355 29.907976
## 1306 1306 -74.52368 3.356041 26.322483
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## 1371 1371 -76.61754 1.689412 59.505547
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## 1379 1379 -74.87525 3.291512 36.238213
## 1380 1380 -75.40261 3.767692  9.709618
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## 1384 1384 -74.67054 3.511801 36.762245
## 1385 1385 -76.25484 3.785493 13.010451
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## 1389 1389 -76.18809 3.409444 16.526388
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## 1392 1392 -76.27932 3.011145 18.762373
## 1393 1393 -74.81963 2.966642 33.092617
## 1394 1394 -74.80850 2.815332 49.370209
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## 1396 1396 -76.07460 3.449497 38.534546
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## 1399 1399 -76.16584 2.948841 36.907898
## 1400 1400 -76.09908 2.672923 36.206650
## 1401 1401 -75.49829 3.694262 11.619107
## 1402 1402 -75.17120 1.704988 26.983181
## 1403 1403 -76.59974 2.902113 21.479080
## 1404 1404 -75.33141 2.236796 21.654299
## 1405 1405 -75.59175 1.595956 63.514179
## 1406 1406 -74.55483 1.502501 10.176970
## 1407 1407 -74.55929 2.154466  7.896503
## 1408 1408 -75.68076 2.141115 12.392190
## 1409 1409 -75.13782 3.445047 21.400394
## 1410 1410 -75.02656 2.768604 38.645599
## 1411 1411 -76.37055 2.187843 50.007729
## 1412 1412 -74.56819 2.739678 12.830147
## 1413 1413 -76.55078 2.933265 38.283310
## 1414 1414 -74.87080 3.075674 32.374794
## 1415 1415 -75.12892 3.153553 22.542543
## 1416 1416 -76.46623 2.178943 49.127148
## 1417 1417 -74.67944 1.834046  9.575848
## 1418 1418 -75.19345 2.610620 42.762730
## 1419 1419 -75.54725 3.242559 24.905964
## 1420 1420 -75.09999 3.636409 21.999090
## 1421 1421 -74.77067 3.191381 34.131157
## 1422 1422 -76.31269 3.723189 12.966804
## 1423 1423 -74.78402 3.180255 33.198700
## 1424 1424 -75.48494 2.492687 14.665436
## 1425 1425 -76.52853 2.419258 43.058296
## 1426 1426 -75.28691 3.064548 12.615820
## 1427 1427 -74.95313 2.490462 21.532625
## 1428 1428 -75.35811 1.894125 18.945541
## 1429 1429 -75.45824 2.314676 47.231766
## 1430 1430 -75.24463 2.265723 22.654766
## 1431 1431 -74.92198 3.200281 24.357601
## 1432 1432 -75.76754 1.909701 16.808413
## 1433 1433 -75.69188 2.112189 15.554923
## 1434 1434 -75.04214 3.625283  9.848171
## 1435 1435 -76.17029 2.336928 46.553318
## 1436 1436 -76.05235 1.633784 29.241924
## 1437 1437 -75.10222 2.243472 19.183203
## 1438 1438 -75.68521 2.379205 15.481270
## 1439 1439 -74.93311 3.389418 24.364809
## 1440 1440 -75.53390 2.234571 20.276691
## 1441 1441 -76.45065 3.024495 14.389367
## 1442 1442 -74.66609 1.773967 12.376601
## 1443 1443 -75.94110 3.333790 58.506306
## 1444 1444 -75.32696 3.129077 18.551292
## 1445 1445 -74.95091 2.977767 36.551022
## 1446 1446 -74.72840 2.087712  7.316707
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## 1448 1448 -75.75641 2.098838 12.886257
## 1449 1449 -75.05327 2.922139 17.336035
## 1450 1450 -75.39149 2.988893 10.292567
## 1451 1451 -76.58861 3.776592 18.804041
## 1452 1452 -74.57709 1.553679 12.827651
## 1453 1453 -75.86099 3.509576 44.649647
## 1454 1454 -75.74528 2.247922 11.528607
## 1455 1455 -74.58154 1.814020  7.873852
## 1456 1456 -74.94646 3.476199 15.329565
## 1457 1457 -75.35588 2.198969 36.371193
## 1458 1458 -74.66832 2.917689 36.237732
## 1459 1459 -74.92421 1.765067 10.180106
## 1460 1460 -75.34476 2.968867 16.482975
## 1461 1461 -76.04345 3.505125 43.355145
## 1462 1462 -75.79424 2.942165 50.051964
## 1463 1463 -75.87657 1.513626 21.376030
## 1464 1464 -75.64738 2.145566 15.186826
## 1465 1465 -76.31714 3.153553 12.235444
## 1466 1466 -75.92330 2.942165 46.630398
## 1467 1467 -76.37500 1.633784 63.711063
## 1468 1468 -75.08442 2.806432 44.203541
## 1469 1469 -75.11334 3.578555  8.350105
## 1470 1470 -75.23573 1.838496 45.374706
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## 1472 1472 -75.80314 3.476199 31.729532
## 1473 1473 -75.34921 3.703163 11.549728
## 1474 1474 -76.27042 1.876324 23.853376
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## 1477 1477 -76.46623 3.600806 12.171181
## 1478 1478 -76.10798 3.473973 38.505798
## 1479 1479 -75.87434 2.116639 23.246983
## 1480 1480 -75.21348 3.293737 19.539917
## 1481 1481 -75.67185 2.178943 12.181943
## 1482 1482 -76.22814 1.862973 21.524862
## 1483 1483 -76.23926 3.480649 10.698703
## 1484 1484 -75.53167 1.847397 17.592535
## 1485 1485 -75.42041 3.798844 11.168134
## 1486 1486 -75.26243 3.458397 17.874519
## 1487 1487 -76.46845 3.271486 22.416389
## 1488 1488 -76.49293 3.752116 14.866921
## 1489 1489 -76.46400 3.571880 13.289547
## 1490 1490 -75.43821 2.227896 44.260437
## 1491 1491 -75.73861 2.915464 35.874577
## 1492 1492 -76.54188 2.279074 47.542427
## 1493 1493 -75.89437 2.085487 17.364655
## 1494 1494 -74.61491 1.680512 12.898722
## 1495 1495 -76.61086 3.258135 20.123743
## 1496 1496 -75.20680 3.311538 19.733299
## 1497 1497 -75.02434 1.689412 18.270340
## 1498 1498 -75.56505 3.055647 32.886745
## 1499 1499 -76.41505 2.497138 37.300671
## 1500 1500 -76.34607 3.131302  8.436684
## 1501 1501 -75.79201 3.694262 43.973927
## 1502 1502 -76.54856 2.370305 47.978756
## 1503 1503 -75.05994 2.581693 40.397835
## 1504 1504 -75.97002 1.740590 18.144629
## 1505 1505 -75.88102 2.134440 17.325777
## 1506 1506 -74.94646 3.382743 29.941950
## 1507 1507 -76.17696 3.106826 29.486639
## 1508 1508 -75.95890 2.256823 23.338686
## 1509 1509 -76.16361 1.822921 18.284212
## 1510 1510 -75.47382 2.490462 19.064001
## 1511 1511 -74.97539 2.939940 44.156418
## 1512 1512 -75.24908 3.258135 15.945125
## 1513 1513 -76.53521 2.397006 47.065708
## 1514 1514 -75.04437 2.243472 16.664774
## 1515 1515 -76.60419 1.624883 57.685329
## 1516 1516 -75.36479 2.581693 19.380590
## 1517 1517 -74.91976 3.422795 26.945398
## 1518 1518 -74.55261 1.747266  8.247560
## 1519 1519 -76.00563 3.678686 39.503067
## 1520 1520 -76.39057 1.751716 63.502888
## 1521 1521 -74.65942 3.636409 33.808479
## 1522 1522 -74.79292 3.536277 27.939058
## 1523 1523 -75.30026 2.737453  7.799135
## 1524 1524 -76.23481 3.349366 10.475927
## 1525 1525 -76.09908 1.684962 25.754484
## 1526 1526 -76.56859 1.954204 60.664661
## 1527 1527 -75.72748 1.834046 39.878342
## 1528 1528 -76.40393 1.682737 69.517975
## 1529 1529 -76.09241 2.561667 32.123985
## 1530 1530 -74.84633 2.692950 21.674770
## 1531 1531 -74.74842 1.595956  8.825006
## 1532 1532 -76.15916 1.522527 60.834232
## 1533 1533 -75.38036 2.655122  8.159709
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## 1535 1535 -74.50588 3.743215 43.453506
## 1536 1536 -74.83075 1.940853 22.095415
## 1537 1537 -74.69502 1.771742 10.199264
## 1538 1538 -74.62826 3.195831 34.651218
## 1539 1539 -75.09999 3.089024 27.780254
## 1540 1540 -75.23350 3.166904 17.752552
## 1541 1541 -75.25575 2.014282 19.086086
## 1542 1542 -75.22460 3.376067 12.635203
## 1543 1543 -75.12892 2.626196 49.202446
## 1544 1544 -75.65850 2.966642 34.602196
## 1545 1545 -75.89659 2.583918 26.135073
## 1546 1546 -76.43953 3.315989  8.200129
## 1547 1547 -75.22905 2.590593 30.767191
## 1548 1548 -75.18232 1.994256 25.775116
## 1549 1549 -76.28599 3.716514 11.549995
## 1550 1550 -75.52277 2.361404 19.361948
## 1551 1551 -74.98874 2.643997 37.319584
## 1552 1552 -75.89659 3.302638 40.184242
## 1553 1553 -75.18900 2.528289 30.685738
## 1554 1554 -76.31269 2.061010 38.570583
## 1555 1555 -74.52591 3.293737 28.276667
## 1556 1556 -76.56636 1.553679 44.952080
## 1557 1557 -75.40706 2.842034 27.150331
## 1558 1558 -75.01989 2.270173 22.410734
## 1559 1559 -75.07997 1.682737 12.886867
## 1560 1560 -75.83651 2.639546 26.807154
## 1561 1561 -75.68966 1.840722 35.148701
## 1562 1562 -75.02879 3.024495 20.134720
## 1563 1563 -75.38704 3.015595 10.782522
## 1564 1564 -75.54947 3.571880 18.763008
## 1565 1565 -74.51033 3.792168 38.157345
## 1566 1566 -75.33363 2.704075  8.984200
## 1567 1567 -76.29934 3.480649  8.749378
## 1568 1568 -76.48403 1.624883 69.687782
## 1569 1569 -76.45510 2.577243 40.232723
## 1570 1570 -76.26374 2.454860 39.566689
## 1571 1571 -74.79737 1.907476  9.939810
## 1572 1572 -75.70746 1.540328 20.691334
## 1573 1573 -75.82761 3.175805 41.842289
## 1574 1574 -76.00340 2.744128 29.759413
## 1575 1575 -75.20680 2.205644 22.538837
## 1576 1576 -75.87657 2.897663 47.768799
## 1577 1577 -75.81871 3.687587 46.916512
## 1578 1578 -75.12002 2.770830 35.372726
## 1579 1579 -76.44620 3.807744 15.207664
## 1580 1580 -75.96780 2.103288 47.671963
## 1581 1581 -74.66832 3.767692 38.125347
## 1582 1582 -74.82853 2.741903 38.055550
## 1583 1583 -75.11112 3.514026 12.278185
## 1584 1584 -75.16007 2.014282 20.030916
## 1585 1585 -74.79960 3.318214 31.823626
## 1586 1586 -75.44934 2.853160 13.011963
## 1587 1587 -74.91531 2.152241 10.605185
## 1588 1588 -74.64384 3.338240 27.203497
## 1589 1589 -75.71191 2.388106 28.016970
## 1590 1590 -75.85209 2.655122 38.114544
## 1591 1591 -75.56727 2.915464 37.998196
## 1592 1592 -76.35497 3.186931  8.815428
## 1593 1593 -75.56727 2.236796 22.069614
## 1594 1594 -76.56414 2.232346 45.947472
## 1595 1595 -76.42840 2.842034 25.664557
## 1596 1596 -75.15562 2.906563 14.882668
## 1597 1597 -74.68612 3.071223 30.016262
## 1598 1598 -75.80536 2.138890 21.883327
## 1599 1599 -76.11911 1.649360 39.832619
## 1600 1600 -76.18364 2.483787 49.733261
## 1601 1601 -75.51387 2.534965 11.152783
## 1602 1602 -75.44044 3.082349 13.385580
## 1603 1603 -75.77421 2.234571 14.719296
## 1604 1604 -75.38259 1.840722 15.532385
## 1605 1605 -75.56282 3.347141 14.607077
## 1606 1606 -74.59934 2.012057  7.847545
## 1607 1607 -75.58730 2.005382 46.910816
## 1608 1608 -74.75065 2.766379 40.658344
## 1609 1609 -75.77199 3.218082 25.524588
## 1610 1610 -76.61531 2.227896 35.541637
## 1611 1611 -75.67630 2.526064  8.964420
## 1612 1612 -76.40615 1.676061 75.586647
## 1613 1613 -75.87434 3.712063 47.455399
## 1614 1614 -76.41283 3.518476 11.079836
## 1615 1615 -76.61086 1.504726 25.073231
## 1616 1616 -76.11021 3.371617 43.047417
## 1617 1617 -74.96871 1.874099  9.290995
## 1618 1618 -75.20013 2.423708 24.706541
## 1619 1619 -76.41728 3.518476 11.898278
## 1620 1620 -75.11779 2.361404 22.691769
## 1621 1621 -75.69856 2.092162 21.059530
## 1622 1622 -76.26152 2.263498 43.367756
## 1623 1623 -75.29136 2.174492 18.922607
## 1624 1624 -75.11112 2.824233 25.811499
## 1625 1625 -76.61754 2.608394 29.601406
## 1626 1626 -74.93756 1.553679 15.619649
## 1627 1627 -75.18677 2.241247 19.366848
## 1628 1628 -75.28023 1.720564 17.170734
## 1629 1629 -75.34476 2.588368 16.342003
## 1630 1630 -75.76754 2.819783 40.566483
## 1631 1631 -75.83206 3.438371 30.790983
## 1632 1632 -74.73730 3.723189 28.488552
## 1633 1633 -76.43953 1.911926 35.331131
## 1634 1634 -75.38481 3.660885 11.979685
## 1635 1635 -75.84987 3.042297 36.271973
## 1636 1636 -76.60419 2.850935 43.595306
## 1637 1637 -75.82539 2.479336 14.077341
## 1638 1638 -75.60733 2.085487 22.986805
## 1639 1639 -74.59711 3.600806 31.720186
## 1640 1640 -75.95890 3.545178 38.542263
## 1641 1641 -76.29267 3.754341 12.340117
## 1642 1642 -75.70078 2.472661 10.259506
## 1643 1643 -74.82853 2.546091 11.373878
## 1644 1644 -74.86413 1.544778  9.394461
## 1645 1645 -75.13337 3.462848 13.457742
## 1646 1646 -76.60419 3.736540 14.785910
## 1647 1647 -75.24685 1.680512 17.032633
## 1648 1648 -75.97002 2.087712 44.919895
## 1649 1649 -75.55837 2.274624 14.640429
## 1650 1650 -76.06570 1.776193 25.336258
## 1651 1651 -75.14227 3.344915 35.812241
## 1652 1652 -75.49384 2.214545 48.210285
## 1653 1653 -76.37722 1.651585 51.862045
## 1654 1654 -75.67853 3.560754 27.309568
## 1655 1655 -75.52500 3.783268 16.599760
## 1656 1656 -75.45379 2.203419 46.111763
## 1657 1657 -75.82316 2.499363 16.289070
## 1658 1658 -76.51073 2.899888 16.471773
## 1659 1659 -76.42618 1.778418 57.169662
## 1660 1660 -75.27800 3.122402 21.330225
## 1661 1661 -75.26020 2.757479 13.761849
## 1662 1662 -75.81649 1.711664 36.992733
## 1663 1663 -74.89083 3.427246 28.597157
## 1664 1664 -75.92997 2.143340 44.169334
## 1665 1665 -75.10667 1.951979 14.264319
## 1666 1666 -75.48717 2.942165 13.085555
## 1667 1667 -75.54280 3.540728 15.202926
## 1668 1668 -74.84633 3.169129 21.701284
## 1669 1669 -76.59751 2.924364 35.928841
## 1670 1670 -75.55615 1.785093 17.276583
## 1671 1671 -75.12670 2.757479 42.398613
## 1672 1672 -76.16139 3.732090 25.271563
## 1673 1673 -75.43376 3.651985 15.977282
## 1674 1674 -76.05235 3.358266 65.531837
## 1675 1675 -74.72617 3.231433 38.194183
## 1676 1676 -76.20144 3.071223 22.825466
## 1677 1677 -75.24018 3.376067 12.474163
## 1678 1678 -75.18455 1.700538 16.762224
## 1679 1679 -75.33808 3.480649 19.720327
## 1680 1680 -75.34253 2.463760 21.062225
## 1681 1681 -74.74842 3.171355 33.799019
## 1682 1682 -76.43063 3.311538 11.991076
## 1683 1683 -76.47068 2.196744 34.796707
## 1684 1684 -76.30602 1.707213 50.378845
## 1685 1685 -74.99764 2.265723 22.598440
## 1686 1686 -75.58062 1.700538 21.129677
## 1687 1687 -75.00209 2.452635 38.544559
## 1688 1688 -76.07238 2.855385 52.250916
## 1689 1689 -75.07997 2.020958 17.372284
## 1690 1690 -76.43063 2.753028 38.959553
## 1691 1691 -76.27264 2.668473 46.956417
## 1692 1692 -75.96112 2.733002 28.536222
## 1693 1693 -74.83965 1.918601 17.575617
## 1694 1694 -76.28822 2.310226 43.573631
## 1695 1695 -74.73730 1.878549  9.190628
## 1696 1696 -75.09109 2.141115 23.179958
## 1697 1697 -75.97225 3.184705 44.995647
## 1698 1698 -74.61714 2.136665 10.912598
## 1699 1699 -75.47382 2.274624 35.219715
## 1700 1700 -75.20903 3.712063 18.989492
## 1701 1701 -74.71950 2.038759  7.494330
## 1702 1702 -75.90549 3.111276 42.810207
## 1703 1703 -75.75863 1.909701 23.105387
## 1704 1704 -74.98651 3.469523 20.591410
## 1705 1705 -75.90327 2.065461 19.762821
## 1706 1706 -75.56282 2.063235 38.341908
## 1707 1707 -76.20589 3.663110 16.484812
## 1708 1708 -75.09109 2.666248 38.388336
## 1709 1709 -76.16139 2.399231 44.834141
## 1710 1710 -75.66073 1.593731 13.338872
## 1711 1711 -75.06439 2.379205 23.800137
## 1712 1712 -75.76531 3.124627 44.085968
## 1713 1713 -76.63979 1.573705 51.594944
## 1714 1714 -75.48939 1.733915 19.280022
## 1715 1715 -75.48272 3.086799 13.876259
## 1716 1716 -74.97316 2.601719 24.707043
## 1717 1717 -76.58416 1.515851 35.399029
## 1718 1718 -75.89214 3.725414 42.661873
## 1719 1719 -74.85078 1.845172  8.407356
## 1720 1720 -74.89528 2.913238 33.252689
## 1721 1721 -76.58194 3.155779 14.453720
## 1722 1722 -75.71636 2.726327 33.505989
## 1723 1723 -76.42395 2.250147 37.003311
## 1724 1724 -74.96649 2.232346 15.539059
## 1725 1725 -75.38926 1.976455 38.404850
## 1726 1726 -75.48717 2.844259 14.899828
## 1727 1727 -74.57041 2.599494 18.402531
## 1728 1728 -75.64515 3.387193 19.131659
## 1729 1729 -74.87971 2.937715 35.256290
## 1730 1730 -76.30157 1.911926 23.705053
## 1731 1731 -74.80405 1.729465 12.226635
## 1732 1732 -75.81871 2.437059 15.604045
## 1733 1733 -75.31806 3.796619 15.274962
## 1734 1734 -76.22146 1.631559 60.722939
## 1735 1735 -75.70968 2.276849  8.868425
## 1736 1736 -76.61309 2.152241 39.753002
## 1737 1737 -76.51963 3.126852 23.852678
## 1738 1738 -74.80850 1.702763 11.687428
## 1739 1739 -74.97316 2.623970 39.890282
## 1740 1740 -75.57840 2.733002 15.523275
## 1741 1741 -76.31492 3.511801 12.935772
## 1742 1742 -75.48939 2.499363 13.078947
## 1743 1743 -75.54947 2.368079 11.625051
## 1744 1744 -76.32605 2.748578 34.833645
## 1745 1745 -75.26910 2.608394 34.412273
## 1746 1746 -76.20144 2.548316 47.237770
## 1747 1747 -75.76086 3.351591 20.807747
## 1748 1748 -75.97670 1.693862 24.811850
## 1749 1749 -75.63625 3.002244 29.667454
## 1750 1750 -75.67853 2.630646 19.691479
## 1751 1751 -76.56191 2.408132 45.263283
## 1752 1752 -76.15916 3.028946 38.337891
## 1753 1753 -76.59529 3.008919 10.028405
## 1754 1754 -75.83651 1.785093 22.162313
## 1755 1755 -74.62381 3.051197 33.950989
## 1756 1756 -74.93533 2.092162  8.015284
## 1757 1757 -76.51518 3.367167 16.855225
## 1758 1758 -75.22015 1.664936 17.320404
## 1759 1759 -76.48848 3.104600 13.062693
## 1760 1760 -75.01099 2.497138 29.560551
## 1761 1761 -74.80405 3.640859 13.078957
## 1762 1762 -76.04123 1.940853 20.349876
## 1763 1763 -75.75196 3.743215 32.860641
## 1764 1764 -76.23926 2.635096 46.134457
## 1765 1765 -75.66518 1.771742 15.862860
## 1766 1766 -75.56727 2.497138 12.829134
## 1767 1767 -74.94868 2.183393 14.717278
## 1768 1768 -76.32382 2.795306 42.611462
## 1769 1769 -75.71413 2.917689 34.239212
## 1770 1770 -75.71636 2.236796 13.197524
## 1771 1771 -74.52368 3.761016 39.584278
## 1772 1772 -76.53298 2.739678 27.690493
## 1773 1773 -75.05327 3.280386 17.399782
## 1774 1774 -75.24685 2.490462 37.084713
## 1775 1775 -76.22369 3.471748 13.719388
## 1776 1776 -75.38926 1.747266 16.058247
## 1777 1777 -75.06662 3.620833  9.983979
## 1778 1778 -76.30602 2.107738 44.317471
## 1779 1779 -75.99227 3.077899 44.706276
## 1780 1780 -75.19790 2.474886 41.461384
## 1781 1781 -75.62735 3.373842 15.254873
## 1782 1782 -76.60864 1.656035 57.069855
## 1783 1783 -75.52945 2.966642 19.691509
## 1784 1784 -75.43821 3.569654 10.841314
## 1785 1785 -75.40039 3.244784 12.737163
## 1786 1786 -75.37591 2.859835  8.826138
## 1787 1787 -75.56282 3.589681 13.242892
## 1788 1788 -75.57617 1.891900 19.791645
## 1789 1789 -75.91217 2.608394 33.839634
## 1790 1790 -75.52055 1.845172 24.802826
## 1791 1791 -75.76754 2.964417 38.202461
## 1792 1792 -75.98337 3.467298 43.359184
## 1793 1793 -76.14581 2.784180 59.515415
## 1794 1794 -76.19476 1.624883 62.826473
## 1795 1795 -75.03769 1.858523 15.066628
## 1796 1796 -75.76754 1.602632 33.473324
## 1797 1797 -76.61309 2.797531 22.704510
## 1798 1798 -74.96871 3.340465 22.015352
## 1799 1799 -75.39149 3.732090 10.199716
## 1800 1800 -75.12447 2.361404 25.288412
## 1801 1801 -76.03900 1.985356 15.469687
## 1802 1802 -75.75641 1.740590 35.488644
## 1803 1803 -74.62826 1.849622 13.625616
## 1804 1804 -75.76086 3.068998 28.429836
## 1805 1805 -74.57486 1.713889 22.939875
## 1806 1806 -74.66832 1.660485 12.072954
## 1807 1807 -76.47958 3.338240 20.305231
## 1808 1808 -75.64515 3.017820 31.303686
## 1809 1809 -76.05903 3.262585 62.445099
## 1810 1810 -75.64738 1.756166 13.774632
## 1811 1811 -75.87212 2.550541 21.526201
## 1812 1812 -74.73730 3.137977 38.195179
## 1813 1813 -74.66832 2.701850 26.531855
## 1814 1814 -75.01766 1.969780 16.250744
## 1815 1815 -74.67722 1.495825 10.901652
## 1816 1816 -76.43953 1.509176 48.788399
## 1817 1817 -75.67853 1.540328 31.191092
## 1818 1818 -75.17120 1.829596 17.911982
## 1819 1819 -75.73193 2.726327 26.000557
## 1820 1820 -75.81649 2.862060 43.104527
## 1821 1821 -75.92107 3.429471 38.701874
## 1822 1822 -75.06217 2.203419 15.650335
## 1823 1823 -75.23128 2.481562 35.789692
## 1824 1824 -74.98651 1.778418 10.456001
## 1825 1825 -76.32382 2.973317 28.610596
## 1826 1826 -76.52408 3.089024 12.613248
## 1827 1827 -75.33141 2.770830  8.544129
## 1828 1828 -75.37591 2.521614 17.931261
## 1829 1829 -74.71059 3.033396 26.328310
## 1830 1830 -75.42709 2.392556 37.375904
## 1831 1831 -74.77957 3.720964 31.303696
## 1832 1832 -74.68389 2.450410 19.735968
## 1833 1833 -76.45288 2.196744 32.724880
## 1834 1834 -76.18586 2.993343 43.455574
## 1835 1835 -75.38259 1.722789 18.961018
## 1836 1836 -74.55706 3.400544 27.655437
## 1837 1837 -75.74083 2.810882 34.138332
## 1838 1838 -76.34607 1.651585 58.929806
## 1839 1839 -75.45157 1.885224 21.935032
## 1840 1840 -75.36256 2.285749 41.694664
## 1841 1841 -75.68743 2.018733 24.826204
## 1842 1842 -76.07905 2.225671 41.122318
## 1843 1843 -76.09018 3.142428 40.782913
## 1844 1844 -75.50274 2.325802 28.065105
## 1845 1845 -74.90418 1.742816 11.899721
## 1846 1846 -74.94423 3.342690 32.149731
## 1847 1847 -75.02434 3.048972 12.516105
## 1848 1848 -74.79070 2.256823  8.881607
## 1849 1849 -74.71504 3.425020 15.893889
## 1850 1850 -76.18586 3.035621 42.038670
## 1851 1851 -74.89973 2.294650 20.449753
## 1852 1852 -75.33586 3.322664 11.997007
## 1853 1853 -75.54280 3.496225 13.006222
## 1854 1854 -75.54057 2.991118 26.750237
## 1855 1855 -74.91531 1.727240  8.523613
## 1856 1856 -74.70614 3.077899 28.381762
## 1857 1857 -76.38835 1.834046 44.559532
## 1858 1858 -76.50851 3.647534 25.821760
## 1859 1859 -75.52277 1.934177 19.634348
## 1860 1860 -76.15026 3.436146 30.074902
## 1861 1861 -76.19476 2.016508 30.814621
## 1862 1862 -74.58599 2.830908 19.727665
## 1863 1863 -75.25353 2.092162 13.316204
## 1864 1864 -74.76622 3.509576 36.286751
## 1865 1865 -76.19031 3.451722 15.899222
## 1866 1866 -76.57304 3.778817 18.100704
## 1867 1867 -76.56191 1.526977 37.035763
## 1868 1868 -76.09241 2.032084 21.450363
## 1869 1869 -76.07683 1.620433 39.779419
## 1870 1870 -74.82408 2.575017 14.816170
## 1871 1871 -74.62159 2.697400 45.525215
## 1872 1872 -74.60379 2.212320 11.322068
## 1873 1873 -74.78847 3.743215 16.619696
## 1874 1874 -76.39502 2.499363 42.810226
## 1875 1875 -74.60379 3.342690 46.127628
## 1876 1876 -75.28913 3.295962 12.076715
## 1877 1877 -75.68521 1.862973 32.815620
## 1878 1878 -75.37369 2.788631 12.829453
## 1879 1879 -75.31583 3.620833 13.953937
## 1880 1880 -75.11334 3.362716 13.192475
## 1881 1881 -75.25798 3.449497 20.380070
## 1882 1882 -76.21256 2.203419 41.326694
## 1883 1883 -76.11466 2.454860 54.231449
## 1884 1884 -75.09777 2.557216 38.993504
## 1885 1885 -74.93311 2.619520 38.250984
## 1886 1886 -75.64293 3.144653 17.424732
## 1887 1887 -75.17342 3.371617  7.725765
## 1888 1888 -75.95445 2.112189 34.261543
## 1889 1889 -75.37814 2.759704 10.169200
## 1890 1890 -74.85523 2.897663 36.173313
## 1891 1891 -74.69279 2.646222 15.498752
## 1892 1892 -75.50052 1.553679 31.768797
## 1893 1893 -75.68521 2.390331 17.277210
## 1894 1894 -76.37055 2.125539 49.471672
## 1895 1895 -75.35143 3.649759 11.175238
## 1896 1896 -74.89973 2.163367 10.766888
## 1897 1897 -76.11688 1.709438 24.233253
## 1898 1898 -74.82630 2.648447 15.779923
## 1899 1899 -74.99764 2.272399 40.159058
## 1900 1900 -75.42486 3.320439 15.939332
## 1901 1901 -76.17251 3.436146 25.572388
## 1902 1902 -75.32251 3.442821 21.282976
## 1903 1903 -76.34162 3.476199 11.840816
## 1904 1904 -75.35366 3.396094 14.595324
## 1905 1905 -76.24372 2.345828 58.100445
## 1906 1906 -75.22460 2.172267 18.921711
## 1907 1907 -74.87971 3.571880 22.162075
## 1908 1908 -75.06662 1.698313  8.995663
## 1909 1909 -75.62290 3.251460 16.950752
## 1910 1910 -76.26152 1.831821 34.547150
## 1911 1911 -76.12133 1.827371 22.220549
## 1912 1912 -75.74751 3.180255 39.472359
## 1913 1913 -76.59306 3.040071  9.881296
## 1914 1914 -76.27487 3.120176 16.012810
## 1915 1915 -75.07329 3.689812 29.690292
## 1916 1916 -76.15693 3.789943 24.099758
## 1917 1917 -75.72081 2.924364 47.712383
## 1918 1918 -76.08128 2.844259 36.565666
## 1919 1919 -75.30471 2.394781 22.208822
## 1920 1920 -74.79070 3.536277 22.081692
## 1921 1921 -75.02434 2.183393 32.419434
## 1922 1922 -76.11021 1.927502 21.013617
## 1923 1923 -75.56282 1.571480 39.362335
## 1924 1924 -74.97984 3.158004 24.444830
## 1925 1925 -74.97316 3.732090 17.413818
## 1926 1926 -75.38704 2.942165  8.270155
## 1927 1927 -74.60601 2.330252  7.119175
## 1928 1928 -76.22369 2.508263 47.379345
## 1929 1929 -76.57971 2.753028 22.422462
## 1930 1930 -75.22905 3.398319 16.732767
## 1931 1931 -74.78180 2.764154 36.154427
## 1932 1932 -75.60065 2.801982 30.858765
## 1933 1933 -75.97670 3.247009 51.950275
## 1934 1934 -75.57172 3.247009 20.562658
## 1935 1935 -75.08442 2.931040 13.331745
## 1936 1936 -76.09241 3.416120 39.010914
## 1937 1937 -75.78534 1.520302 20.551964

Ahora, representemos gráficamente las muestras:

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

7. Guardar las muestras

Revisa cómo funciona la función sf::st_write y agrega tu explicación aquí.

# change path and filename to match your directories
# as well as your department name
sf::st_write(nmuestras, "Proyecto05/soc_huila.gpkg", driver = "GPKG",
             append=FALSE)

## Deleting layer `soc_huila' using driver `GPKG'
## Writing layer `soc_huila' to data source 
##   `Proyecto05/soc_huila.gpkg' using driver `GPKG'
## Writing 1937 features with 1 fields and geometry type Point.

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] gdalUtilities_1.2.5 dplyr_1.1.4         XML_3.99-0.19      
## [4] RColorBrewer_1.1-3  leaflet_2.2.3       sf_1.0-21          
## [7] tidyterra_0.7.2     ggplot2_4.0.0       terra_1.8-70       
## 
## loaded via a namespace (and not attached):
##  [1] sass_0.4.10        generics_0.1.4     tidyr_1.3.1        class_7.3-23      
##  [5] KernSmooth_2.23-26 digest_0.6.37      magrittr_2.0.4     evaluate_1.0.5    
##  [9] grid_4.5.1         fastmap_1.2.0      jsonlite_2.0.0     e1071_1.7-16      
## [13] DBI_1.2.3          purrr_1.1.0        crosstalk_1.2.2    scales_1.4.0      
## [17] codetools_0.2-20   jquerylib_0.1.4    cli_3.6.5          rlang_1.1.6       
## [21] units_1.0-0        withr_3.0.2        cachem_1.1.0       tools_4.5.1       
## [25] vctrs_0.6.5        R6_2.6.1           png_0.1-8          proxy_0.4-27      
## [29] lifecycle_1.0.4    classInt_0.4-11    htmlwidgets_1.6.4  pkgconfig_2.0.3   
## [33] pillar_1.11.1      bslib_0.9.0        gtable_0.3.6       glue_1.8.0        
## [37] data.table_1.17.8  Rcpp_1.1.0         xfun_0.53          tibble_3.3.0      
## [41] tidyselect_1.2.1   rstudioapi_0.17.1  knitr_1.50         farver_2.1.2      
## [45] htmltools_0.5.8.1  rmarkdown_2.30     labeling_0.4.3     compiler_4.5.1    
## [49] S7_0.2.0