Cargue las librerias correspondientes
library(terra)
library(leaflet)
library(sf)
library(elevatr)
library(dplyr)
##(list.files("C:\\Users\\suare\\OneDrive\\Documentos\\GB2\\Proyecto1\\Datos"))
munic <- st_read("C:\\Users\\suare\\OneDrive\\Documentos\\GB2\\Proyecto1\\Datos\\Municipios_Magdalena.gpkg")
## Multiple layers are present in data source C:\Users\suare\OneDrive\Documentos\GB2\Proyecto1\Datos\Municipios_Magdalena.gpkg, reading layer `municipios_'.
## Use `st_layers' to list all layer names and their type in a data source.
## Set the `layer' argument in `st_read' to read a particular layer.
## Warning in CPL_read_ogr(dsn, layer, query, as.character(options), quiet, :
## automatically selected the first layer in a data source containing more than
## one.
## Reading layer `municipios_' from data source
## `C:\Users\suare\OneDrive\Documentos\GB2\Proyecto1\Datos\Municipios_Magdalena.gpkg'
## using driver `GPKG'
## Simple feature collection with 20 features and 11 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -74.9569 ymin: 8.956799 xmax: -73.6021 ymax: 11.34958
## Geodetic CRS: WGS 84
st_layers("C:\\Users\\suare\\OneDrive\\Documentos\\GB2\\Proyecto1\\Datos\\Municipios_Magdalena.gpkg")
## Driver: GPKG
## Available layers:
## layer_name geometry_type features fields crs_name
## 1 municipios_ Multi Polygon 20 11 WGS 84
## 2 munic Multi Polygon 30 12 WGS 84
# Cargar el archivo especificando la capa correcta de 30 municipios del Magdalena
munic <- st_read("C:\\Users\\suare\\OneDrive\\Documentos\\GB2\\Proyecto1\\Datos\\Municipios_Magdalena.gpkg",
layer = "munic")
## Reading layer `munic' from data source
## `C:\Users\suare\OneDrive\Documentos\GB2\Proyecto1\Datos\Municipios_Magdalena.gpkg'
## using driver `GPKG'
## Simple feature collection with 30 features and 12 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -74.9466 ymin: 8.936489 xmax: -73.54184 ymax: 11.34891
## Geodetic CRS: WGS 84
(munic$area = st_area(munic)/1000000)
## Units: [m^2]
## [1] 2356.4614 408.0399 1747.8150 1136.3788 177.8944 538.7049 1336.3925
## [8] 109.9128 818.2538 559.3419 263.2340 975.8236 566.8661 845.5057
## [15] 306.9748 664.2835 1647.0267 1463.1680 682.4828 597.2839 1244.0021
## [22] 171.1467 439.4513 269.9888 1125.0051 496.6960 974.7055 494.1405
## [29] 374.4043 437.6871
(centros = st_centroid(munic))
## Simple feature collection with 30 features and 13 fields
## Geometry type: POINT
## Dimension: XY
## Bounding box: xmin: -74.83757 ymin: 9.114921 xmax: -73.87979 ymax: 11.12189
## Geodetic CRS: WGS 84
## First 10 features:
## dpto_ccdgo mpio_ccdgo mpio_cdpmp dpto_cnmbr mpio_cnmbr
## 1 47 001 47001 MAGDALENA SANTA MARTA
## 2 47 030 47030 MAGDALENA ALGARROBO
## 3 47 053 47053 MAGDALENA ARACATACA
## 4 47 058 47058 MAGDALENA ARIGUANÍ
## 5 47 161 47161 MAGDALENA CERRO DE SAN ANTONIO
## 6 47 170 47170 MAGDALENA CHIVOLO
## 7 47 189 47189 MAGDALENA CIÉNAGA
## 8 47 205 47205 MAGDALENA CONCORDIA
## 9 47 245 47245 MAGDALENA EL BANCO
## 10 47 258 47258 MAGDALENA EL PIÑÓN
## mpio_crslc mpio_tipo mpio_narea mpio_nano
## 1 1525 MUNICIPIO 2343.9033 2025
## 2 Ordenanza 008 de Junio 24 de 1999 MUNICIPIO 405.8850 2024
## 3 Ordenanza 47 del 28 de Abril de 1915 MUNICIPIO 1738.4243 2025
## 4 Ordenanza 14 Bis de Noviembre 30 de 1966 MUNICIPIO 1130.3299 2024
## 5 Ordenanza 3038 de 1912 MUNICIPIO 177.0656 2024
## 6 Decreto 107 de Marzo 8 de 1974 MUNICIPIO 536.0309 2024
## 7 Ley 0339 de 1876 MUNICIPIO 1329.3560 2025
## 8 Ordenanza 007 del 24 de Junio de 1999 MUNICIPIO 109.3953 2024
## 9 Ley 0182 de 1871 MUNICIPIO 813.8018 2025
## 10 Ordenanza 032 del 20 de Abril de 1815 MUNICIPIO 556.6568 2024
## shape_Leng shape_Area AREA geom area
## 1 3.1304030 0.194233447 2347.0954 POINT (-73.88522 11.12189) 2356.4614 [m^2]
## 2 1.2656799 0.033536941 406.3880 POINT (-74.10323 10.25355) 408.0399 [m^2]
## 3 2.6435461 0.143834703 1740.7962 POINT (-73.87979 10.64492) 1747.8150 [m^2]
## 4 1.9928810 0.093278409 1131.7403 POINT (-74.08459 9.834264) 1136.3788 [m^2]
## 5 0.7004114 0.014623054 177.1748 POINT (-74.81982 10.29373) 177.8944 [m^2]
## 6 1.3253970 0.044254975 536.5174 POINT (-74.52607 10.09951) 538.7049 [m^2]
## 7 2.6311586 0.110066127 1331.0537 POINT (-74.0424 10.88858) 1336.3925 [m^2]
## 8 0.5443263 0.009033178 109.4677 POINT (-74.7781 10.23285) 109.9128 [m^2]
## 9 1.6767358 0.067024887 814.8694 POINT (-73.98104 9.114921) 818.2538 [m^2]
## 10 1.1771096 0.045985558 557.0816 POINT (-74.67816 10.34311) 559.3419 [m^2]
(munic_2 <- munic %>% dplyr::select(mpio_cdpmp ,mpio_cnmbr, AREA, geom))
## Simple feature collection with 30 features and 3 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -74.9466 ymin: 8.936489 xmax: -73.54184 ymax: 11.34891
## Geodetic CRS: WGS 84
## First 10 features:
## mpio_cdpmp mpio_cnmbr AREA geom
## 1 47001 SANTA MARTA 2347.0954 MULTIPOLYGON (((-74.21468 1...
## 2 47030 ALGARROBO 406.3880 MULTIPOLYGON (((-74.08572 1...
## 3 47053 ARACATACA 1740.7962 MULTIPOLYGON (((-73.59859 1...
## 4 47058 ARIGUANÍ 1131.7403 MULTIPOLYGON (((-74.03381 9...
## 5 47161 CERRO DE SAN ANTONIO 177.1748 MULTIPOLYGON (((-74.85084 1...
## 6 47170 CHIVOLO 536.5174 MULTIPOLYGON (((-74.50895 1...
## 7 47189 CIÉNAGA 1331.0537 MULTIPOLYGON (((-74.26505 1...
## 8 47205 CONCORDIA 109.4677 MULTIPOLYGON (((-74.81188 1...
## 9 47245 EL BANCO 814.8694 MULTIPOLYGON (((-73.79896 9...
## 10 47258 EL PIÑÓN 557.0816 MULTIPOLYGON (((-74.67476 1...
(centros = st_centroid(munic_2))
## Warning: st_centroid assumes attributes are constant over geometries
## Simple feature collection with 30 features and 3 fields
## Geometry type: POINT
## Dimension: XY
## Bounding box: xmin: -74.83757 ymin: 9.114921 xmax: -73.87979 ymax: 11.12189
## Geodetic CRS: WGS 84
## First 10 features:
## mpio_cdpmp mpio_cnmbr AREA geom
## 1 47001 SANTA MARTA 2347.0954 POINT (-73.88522 11.12189)
## 2 47030 ALGARROBO 406.3880 POINT (-74.10323 10.25355)
## 3 47053 ARACATACA 1740.7962 POINT (-73.87979 10.64492)
## 4 47058 ARIGUANÍ 1131.7403 POINT (-74.08459 9.834264)
## 5 47161 CERRO DE SAN ANTONIO 177.1748 POINT (-74.81982 10.29373)
## 6 47170 CHIVOLO 536.5174 POINT (-74.52607 10.09951)
## 7 47189 CIÉNAGA 1331.0537 POINT (-74.0424 10.88858)
## 8 47205 CONCORDIA 109.4677 POINT (-74.7781 10.23285)
## 9 47245 EL BANCO 814.8694 POINT (-73.98104 9.114921)
## 10 47258 EL PIÑÓN 557.0816 POINT (-74.67816 10.34311)
centros$x = st_coordinates(centros)[,1]
centros$y = st_coordinates(centros)[,2]
centros
## Simple feature collection with 30 features and 5 fields
## Geometry type: POINT
## Dimension: XY
## Bounding box: xmin: -74.83757 ymin: 9.114921 xmax: -73.87979 ymax: 11.12189
## Geodetic CRS: WGS 84
## First 10 features:
## mpio_cdpmp mpio_cnmbr AREA geom
## 1 47001 SANTA MARTA 2347.0954 POINT (-73.88522 11.12189)
## 2 47030 ALGARROBO 406.3880 POINT (-74.10323 10.25355)
## 3 47053 ARACATACA 1740.7962 POINT (-73.87979 10.64492)
## 4 47058 ARIGUANÍ 1131.7403 POINT (-74.08459 9.834264)
## 5 47161 CERRO DE SAN ANTONIO 177.1748 POINT (-74.81982 10.29373)
## 6 47170 CHIVOLO 536.5174 POINT (-74.52607 10.09951)
## 7 47189 CIÉNAGA 1331.0537 POINT (-74.0424 10.88858)
## 8 47205 CONCORDIA 109.4677 POINT (-74.7781 10.23285)
## 9 47245 EL BANCO 814.8694 POINT (-73.98104 9.114921)
## 10 47258 EL PIÑÓN 557.0816 POINT (-74.67816 10.34311)
## x y
## 1 -73.88522 11.121892
## 2 -74.10323 10.253554
## 3 -73.87979 10.644920
## 4 -74.08459 9.834264
## 5 -74.81982 10.293730
## 6 -74.52607 10.099513
## 7 -74.04240 10.888580
## 8 -74.77810 10.232849
## 9 -73.98104 9.114921
## 10 -74.67816 10.343107
##elevacion = get_elev_raster(munic_2, z=10)
##elevacion
##writeRaster(elevacion, "C:\\Users\\suare\\OneDrive\\Documentos\\GB2\\Proyecto1\\Datos\\elev_Magdalena_z10.tif", overwrite=TRUE)
elevacion = terra::rast("C:\\Users\\suare\\OneDrive\\Documentos\\GB2\\Proyecto1\\Datos\\elev_Magdalena_z10.tif")
(elevacion2 <- terra::rast(elevacion))
## class : SpatRaster
## size : 4078, 2589, 1 (nrow, ncol, nlyr)
## resolution : 0.0006789017, 0.0006789017 (x, y)
## extent : -75.23438, -73.4767, 8.754526, 11.52309 (xmin, xmax, ymin, ymax)
## coord. ref. : lon/lat WGS 84 (EPSG:4326)
pal <- colorNumeric(c("cyan", "forestgreen","yellow","tan","orange", "brown"), values(elevacion),
na.color = "transparent")
(elevacion3 <- terra::aggregate(elevacion, fact = 2))
## |---------|---------|---------|---------|=========================================
## class : SpatRaster
## size : 2039, 1295, 1 (nrow, ncol, nlyr)
## resolution : 0.001357803, 0.001357803 (x, y)
## extent : -75.23438, -73.47602, 8.754526, 11.52309 (xmin, xmax, ymin, ymax)
## coord. ref. : lon/lat WGS 84 (EPSG:4326)
## source(s) : memory
## name : elev_Magdalena_z10
## min value : -2437.5
## max value : 5659.25
(elevacion4 <- terra::clamp(elevacion3, lower = 0, values = TRUE))
## class : SpatRaster
## size : 2039, 1295, 1 (nrow, ncol, nlyr)
## resolution : 0.001357803, 0.001357803 (x, y)
## extent : -75.23438, -73.47602, 8.754526, 11.52309 (xmin, xmax, ymin, ymax)
## coord. ref. : lon/lat WGS 84 (EPSG:4326)
## source(s) : memory
## name : elev_Magdalena_z10
## min value : 0
## max value : 5659.25
elevacion5 <- terra::crop(elevacion4, munic_2, mask=TRUE)
leaflet(munic_2) %>% addTiles() %>% setView(-73.11157,7.155834, 9) %>%
addPolygons(color = "white", weight = 1.0, smoothFactor = 0.5,
opacity = 0.25, fillOpacity = 0.15,
popup = paste("Municipio: ", munic_2$mpio_cnmbr, "<br>",
"Km2: ", munic_2$AREA, "<br>")) %>%
addLabelOnlyMarkers(data = centros,
lng = ~x, lat = ~y, label = ~mpio_cnmbr,
labelOptions = labelOptions(noHide = TRUE, direction = 'top', textOnly = TRUE, textsize = "10px")) %>%
addRasterImage(elevacion5, colors = pal, opacity = 0.9) %>%
addLegend(pal = pal, values = values(elevacion5),
title = "Elevation data for Magdalena (mts)")