library(rasterVis)
library(raster)
library(rgl)
library(rgdal)
library(elevatr)
library(sf)
library(tidyverse)
library(mapview)
munic <- sf::st_read("C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/GeomƔtica/05_ANTIOQUIA/ADMINISTRATIVO/MGN_MPIO_POLITICO.shp")
Reading layer `MGN_MPIO_POLITICO' from data source
`C:\Users\hinca\Documents\(A) Hinca\UNAL\Semestre 5\GeomĆĀ”tica\05_ANTIOQUIA\ADMINISTRATIVO\MGN_MPIO_POLITICO.shp'
using driver `ESRI Shapefile'
Simple feature collection with 125 features and 9 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -77.12783 ymin: 5.418558 xmax: -73.88128 ymax: 8.873974
Geodetic CRS: WGS 84
elevation <- get_elev_raster(munic, z = 10)
Accessing raster elevation [-------------------------] 0%
Accessing raster elevation [-------------------------] 1%
Accessing raster elevation [-------------------------] 2%
Accessing raster elevation [>------------------------] 2%
Accessing raster elevation [>------------------------] 3%
Accessing raster elevation [>------------------------] 4%
Accessing raster elevation [>------------------------] 5%
Error in curl::curl_fetch_disk(url, x$path, handle = handle) :
Operation was aborted by an application callback
NA
if (require(rgdal)) {
rf <- writeRaster(elevation, filename=file.path("C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/GeomƔtica/antioquia_dem_z10.tif"), format="GTiff", overwrite=TRUE)
}
elevation <- raster("C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/GeomƔtica/antioquia_dem_z10.tif")
elevation
class : RasterLayer
dimensions : 6134, 5667, 34761378 (nrow, ncol, ncell)
resolution : 0.0006824976, 0.0006824976 (x, y)
extent : -77.34375, -73.47604, 4.915657, 9.102097 (xmin, xmax, ymin, ymax)
crs : +proj=longlat +datum=WGS84 +no_defs
source : antioquia_dem_z10.tif
names : antioquia_dem_z10
values : -1934, 4758 (min, max)
munic_sp <- as(munic, "Spatial")
plot(elevation, main="Datos de DEM descargados sin tratamiento [meters]")
plot(munic_sp,col="NA",border="black", add=TRUE)
text(coordinates(munic_sp), labels=as.character(munic$MPIO_CNMBR),
col="black", cex=0.20)

elev_crop = crop(elevation, munic_sp)
plot(elev_crop, main="DEM Recortado para Antioquia")
plot(munic_sp, add=TRUE)
text(coordinates(munic_sp), labels=as.character(munic_sp$MPIO_CNMBR), cex=0.2)

elev_crop
class : RasterLayer
dimensions : 5063, 4757, 24084691 (nrow, ncol, ncell)
resolution : 0.0006824976, 0.0006824976 (x, y)
extent : -77.12808, -73.88144, 5.418657, 8.874143 (xmin, xmax, ymin, ymax)
crs : +proj=longlat +datum=WGS84 +no_defs
source : memory
names : antioquia_dem_z10
values : -1609, 4758 (min, max)
library(sp)
spatialref <- CRS(SRS_string="EPSG:32618")
pr3 <- projectExtent(elev_crop, crs=spatialref)
res(pr3) <- 180
rep_elev <- projectRaster(elev_crop, pr3)
rep_elev
class : RasterLayer
dimensions : 2126, 1998, 4247748 (nrow, ncol, ncell)
resolution : 180, 180 (x, y)
extent : 264195.4, 623835.4, 598928.5, 981608.5 (xmin, xmax, ymin, ymax)
crs : +proj=utm +zone=18 +datum=WGS84 +units=m +no_defs
source : memory
names : antioquia_dem_z10
values : -692.154, 4490.655 (min, max)
(rep_munic = spTransform(munic_sp,spatialref))
class : SpatialPolygonsDataFrame
features : 125
extent : 265363.8, 623567.1, 598938.4, 981215 (xmin, xmax, ymin, ymax)
crs : +proj=utm +zone=18 +datum=WGS84 +units=m +no_defs
variables : 9
names : DPTO_CCDGO, MPIO_CCDGO, MPIO_CNMBR, MPIO_CRSLC, MPIO_NAREA, MPIO_NANO, DPTO_CNMBR, Shape_Leng, Shape_Area
min values : 05, 05001, ABEJORRAL, 1541, 15.83597275, 2017, ANTIOQUIA, 0.172962481259, 0.0012928296672
max values : 05, 05895, ZARAGOZA, Ordenanza 9 de Diciembre 15 de 1983, 2959.36315089, 2017, ANTIOQUIA, 6.61177822771, 0.23894871119
plot(rep_elev, main="Reprojected digital elevation model")
plot(rep_munic, lwd=0.5, add=TRUE)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)

writeRaster(rep_elev, filename="C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/GeomƔtica/rep_boyaca_dem.tif", datatype='INT4S', overwrite=TRUE)
hist(rep_elev)

promedio <- cellStats(rep_elev, 'mean')
minimo <- cellStats(rep_elev, 'min')
maximo <- cellStats(rep_elev, 'max')
desviacion <- cellStats(rep_elev, 'sd')
metricas <- c('mean', 'min', 'max', 'std')
valores <- c(promedio, minimo, maximo, desviacion)
(df_estadisticas <- data.frame(metricas, valores))
slope = terrain(rep_elev,opt='slope', unit='degrees')
aspect = terrain(rep_elev,opt='aspect',unit='degrees')
hill = hillShade(slope,aspect,40,315)
plot(rep_elev,main="DEM for Antioquia municipalities [meters]", col=terrain.colors(25,alpha=0.8))
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)

plot(slope,main="Slope for Antioquia municipalities [degrees]", col=topo.colors(6,alpha=0.6))
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)

plot(aspect,main="Aspect for several municipalities [degrees]", col=rainbow(10,alpha=0.7))
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)

plot(hill,
col=grey(1:100/100),
legend=FALSE,
main="DEM for Antioquia municipalities [m]",
axes=FALSE)
plot(rep_elev,
axes=FALSE,
col=terrain.colors(12, alpha=0.6), add=TRUE)
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)

elmat %>%
sphere_shade(texture = "desert") %>%
add_water(detect_water(elmat), color = "desert") %>%
add_shadow(ray_shade(elmat), 0.5) %>%
add_shadow(ambient_shade(elmat), 0) %>%
plot_map()
Error in hillshade[, , 1] * scales::rescale(shadowmap, c(max_darken, 1)) :
non-conformable arrays
lista <- list("MUTATĆ" , "CHIGORODĆ" , "CAREPA" , "APARTADĆ" , "TURBO" , "NECOCLĆ" , "ARBOLETES" , "SAN JUAN DE URABĆ")
(algunosmunicipios <- munic %>% filter(MPIO_CNMBR %in% unlist(lista)))
Simple feature collection with 8 features and 9 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -77.12783 ymin: 7.132796 xmax: -76.21803 ymax: 8.873974
Geodetic CRS: WGS 84
DPTO_CCDGO MPIO_CCDGO MPIO_CNMBR
1 05 05051 ARBOLETES
2 05 05045 APARTADĆ
3 05 05837 TURBO
4 05 05172 CHIGORODĆ
5 05 05147 CAREPA
6 05 05659 SAN JUAN DE URABĆ
7 05 05490 NECOCLĆ
8 05 05480 MUTATĆ
MPIO_CRSLC
1 Decreto departamental 340 del 30 de Agosto de 1958
2 Ordenanza 7 de Noviembre 30 de 1967
3 1840
4 Ordenanza 52 del 27 de Abril de 1915
5 Ordenanza 7 de Diciembre 15 de 1983
6 Ordenanza 58 de Marzo 3 de 1986
7 Ordenanza 23 de Noviembre 28 de 1977
8 1951
MPIO_NAREA MPIO_NANO DPTO_CNMBR Shape_Leng
1 754.2525 2017 ANTIOQUIA 1.8586821
2 535.1801 2017 ANTIOQUIA 1.2876523
3 2959.3632 2017 ANTIOQUIA 6.6117782
4 721.6826 2017 ANTIOQUIA 1.6103856
5 387.2706 2017 ANTIOQUIA 1.3099406
6 251.9969 2017 ANTIOQUIA 0.8078772
7 1255.5439 2017 ANTIOQUIA 2.4147100
8 1198.2352 2017 ANTIOQUIA 1.6610843
Shape_Area geometry
1 0.06185481 POLYGON ((-76.41355 8.87382...
2 0.04380111 POLYGON ((-76.42487 8.07299...
3 0.23894871 POLYGON ((-76.40525 8.47647...
4 0.05902320 POLYGON ((-76.80956 7.77069...
5 0.03168377 POLYGON ((-76.76941 7.87896...
6 0.02066743 POLYGON ((-76.47999 8.81150...
7 0.10289352 POLYGON ((-76.62422 8.70221...
8 0.08789726 POLYGON ((-76.49619 7.55139...
algunosmunicipios <- as(algunosmunicipios, "Spatial")
elev_cropA = crop(elevation, algunosmunicipios)
elev_cropA = mask(elev_cropA, algunosmunicipios)
plot(elev_cropA, main=" DEM UrabĆ” de Antioquia ")
plot(algunosmunicipios, add=TRUE)
text(coordinates(algunosmunicipios), labels=as.character(algunosmunicipios$MPIO_CNMBR), cex=0.3)

slopeA = terrain(elev_cropA, opt='slope', unit='degrees')
aspectA = terrain(elev_cropA, opt='aspect',unit='degrees')
hillM = hillShade(slopeA, aspectA, 40, 315)
plot(slopeA,main="Pendiente UrabĆ” de Antioquia [grados]", col=topo.colors(6,alpha=0.6))
plot(algunosmunicipios, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipios), labels=as.character(algunosmunicipios$MPIO_CNMBR), cex=0.3)

plot(aspectA,main="Aspecto UrabĆ” de Antioquia", col=rainbow(10,alpha=0.7))
plot(algunosmunicipios, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipios), labels=as.character(algunosmunicipios$MPIO_CNMBR), cex=0.3)

lista <- list("RIONEGRO" , "PEĆOL" , "GUARNE" , "SANTUARIO" , "MARINILLA" , "SAN VICENTE" , "GRANADA" , "CONCEPCIĆN" , "BARBOSA")
(algunosmunicipiosm <- munic %>% filter(MPIO_CNMBR %in% unlist(lista)))
Simple feature collection with 9 features and 9 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: -75.50126 ymin: 6.018431 xmax: -75.05946 ymax: 6.513189
Geodetic CRS: WGS 84
DPTO_CCDGO MPIO_CCDGO MPIO_CNMBR MPIO_CRSLC
1 05 05079 BARBOSA 1812
2 05 05697 SANTUARIO 1838
3 05 05206 CONCEPCIĆN 1773
4 05 05674 SAN VICENTE 1814
5 05 05615 RIONEGRO 1783
6 05 05541 PEĆOL 1774
7 05 05440 MARINILLA 1787
8 05 05318 GUARNE 1817
9 05 05313 GRANADA 1817
MPIO_NAREA MPIO_NANO DPTO_CNMBR Shape_Leng
1 205.66617 2017 ANTIOQUIA 0.7700180
2 83.45109 2017 ANTIOQUIA 0.6097303
3 202.05449 2017 ANTIOQUIA 0.7150559
4 230.49117 2017 ANTIOQUIA 0.7710366
5 195.94020 2017 ANTIOQUIA 0.8907217
6 118.31435 2017 ANTIOQUIA 0.6187559
7 114.87120 2017 ANTIOQUIA 0.6129668
8 151.81382 2017 ANTIOQUIA 0.7063743
9 190.22512 2017 ANTIOQUIA 0.7639613
Shape_Area geometry
1 0.016803898 POLYGON ((-75.32148 6.51265...
2 0.006814663 POLYGON ((-75.24933 6.17184...
3 0.016508022 POLYGON ((-75.21393 6.45258...
4 0.018827491 POLYGON ((-75.33483 6.39938...
5 0.015999436 POLYGON ((-75.37699 6.23349...
6 0.009663738 POLYGON ((-75.23488 6.32415...
7 0.009381138 POLYGON ((-75.29652 6.26197...
8 0.012398701 POLYGON ((-75.40888 6.34896...
9 0.015535174 POLYGON ((-75.122 6.22429, ...
algunosmunicipiosm <- as(algunosmunicipiosm, "Spatial")
elev_cropM = crop(elevation, algunosmunicipiosm)
elev_cropM = mask(elev_cropM, algunosmunicipiosm)
plot(elev_cropM, main=" DEM Zona MontaƱosa de Antioquia ")
plot(algunosmunicipiosm, add=TRUE)
text(coordinates(algunosmunicipiosm), labels=as.character(algunosmunicipiosm$MPIO_CNMBR), cex=0.3)

slopeM = terrain(elev_cropM, opt='slope', unit='degrees')
aspectM = terrain(elev_cropM, opt='aspect',unit='degrees')
hillM = hillShade(slopeM, aspectM, 40, 315)
plot(slopeM,main="Pendiente Zona MontaƱosa Antioquia [grados]", col=topo.colors(6,alpha=0.6))
plot(algunosmunicipiosm, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipiosm), labels=as.character(algunosmunicipiosm$MPIO_CNMBR), cex=0.3)

plot(aspectM,main="Aspecto Zona MontaƱosa de Antioquia", col=rainbow(10,alpha=0.7))
plot(algunosmunicipiosm, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipiosm), labels=as.character(algunosmunicipiosm$MPIO_CNMBR), cex=0.3)

---
title: "Datos de Elevación Antioquia"
Date: "25.11.2021"
Author: "Andrés Hincapié Castañeda y María Fernanda Santafé"
output: html_notebook
---
```{r}
library(rasterVis)
library(raster)
library(rgl)
library(rgdal)
library(elevatr)
library(sf)
library(tidyverse)
library(mapview)
```
```{r}
munic <- sf::st_read("C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/Geomática/05_ANTIOQUIA/ADMINISTRATIVO/MGN_MPIO_POLITICO.shp")
```

```{r}
elevation <- get_elev_raster(munic, z = 10)
```

```{r}
if (require(rgdal)) {
 rf <- writeRaster(elevation, filename=file.path("C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/Geomática/antioquia_dem_z10.tif"), format="GTiff", overwrite=TRUE)
}
```
```{r}
elevation <-  raster("C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/Geomática/antioquia_dem_z10.tif")
```
```{r}
elevation
```

```{r}
munic_sp <- as(munic, "Spatial")
```
```{r}
plot(elevation, main="Datos de DEM descargados sin tratamiento [meters]")
plot(munic_sp,col="NA",border="black", add=TRUE)
text(coordinates(munic_sp), labels=as.character(munic$MPIO_CNMBR), 
     col="black", cex=0.20)
```
```{r}
elev_crop = crop(elevation, munic_sp)
plot(elev_crop, main="DEM Recortado para Antioquia")
plot(munic_sp, add=TRUE)
text(coordinates(munic_sp), labels=as.character(munic_sp$MPIO_CNMBR), cex=0.2)
```
```{r}
elev_crop
```
```{r}
crs(elev_crop)
```
```{r}
library(sp)
spatialref <- CRS(SRS_string="EPSG:32618")
```
```{r}
pr3 <- projectExtent(elev_crop, crs=spatialref)
res(pr3) <- 180
rep_elev <- projectRaster(elev_crop, pr3)
```

```{r}
rep_elev
```

```{r}
(rep_munic = spTransform(munic_sp,spatialref))
```
```{r}
plot(rep_elev, main="Reprojected digital elevation model")
plot(rep_munic, lwd=0.5, add=TRUE)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)
```
```{r}
writeRaster(rep_elev, filename="C:/Users/hinca/Documents/(A) Hinca/UNAL/Semestre 5/Geomática/rep_boyaca_dem.tif", datatype='INT4S', overwrite=TRUE)
```
```{r}
hist(rep_elev)
```
```{r}
promedio <- cellStats(rep_elev, 'mean')
minimo <- cellStats(rep_elev, 'min')
maximo <- cellStats(rep_elev, 'max')
desviacion  <- cellStats(rep_elev, 'sd')
```

```{r}
metricas <- c('mean', 'min', 'max', 'std')
valores <- c(promedio, minimo, maximo, desviacion)
```
```{r}
(df_estadisticas <- data.frame(metricas, valores))
```

```{r}
slope = terrain(rep_elev,opt='slope', unit='degrees')
aspect = terrain(rep_elev,opt='aspect',unit='degrees')
hill = hillShade(slope,aspect,40,315)
```
```{r}
plot(rep_elev,main="DEM for Antioquia municipalities [meters]", col=terrain.colors(25,alpha=0.8))
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)
```
```{r}
plot(slope,main="Slope for Antioquia municipalities [degrees]", col=topo.colors(6,alpha=0.6))
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)
```

```{r}
plot(aspect,main="Aspect for several municipalities [degrees]", col=rainbow(10,alpha=0.7))
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)
```

```{r}
plot(hill,
        col=grey(1:100/100),  
        legend=FALSE,         
        main="DEM for Antioquia municipalities [m]",
        axes=FALSE)           

plot(rep_elev, 
        axes=FALSE,
        col=terrain.colors(12, alpha=0.6), add=TRUE)
plot(rep_munic, add=TRUE, lwd=0.5)
text(coordinates(rep_munic), labels=as.character(rep_munic$MPIO_CNMBR), cex=0.2)
```
```{r}
library(rayshader)
```
```{r}
elmat = raster_to_matrix(rep_elev)
```

```{r}
elmat %>%
  sphere_shade(texture = "desert") %>%
  add_water(detect_water(elmat), color = "desert") %>%
  add_shadow(ray_shade(elmat), 0.5) %>%
  add_shadow(ambient_shade(elmat), 0) %>%
  plot_map()
```
```{r}
lista <- list("MUTATÁ" , "CHIGORODÓ" , "CAREPA" , "APARTADÓ" , "TURBO" , "NECOCLÍ" , "ARBOLETES" , "SAN JUAN DE URABÁ")
(algunosmunicipios <- munic %>% filter(MPIO_CNMBR %in% unlist(lista)))
```

```{r}
algunosmunicipios <- as(algunosmunicipios, "Spatial")
```
```{r}
elev_cropA = crop(elevation, algunosmunicipios)
elev_cropA = mask(elev_cropA, algunosmunicipios)
plot(elev_cropA, main=" DEM Urabá de Antioquia ")
plot(algunosmunicipios, add=TRUE)
text(coordinates(algunosmunicipios), labels=as.character(algunosmunicipios$MPIO_CNMBR), cex=0.3)
```



```{r}
slopeA = terrain(elev_cropA, opt='slope', unit='degrees')
aspectA = terrain(elev_cropA, opt='aspect',unit='degrees')
hillM = hillShade(slopeA, aspectA, 40, 315)
```
```{r}
plot(slopeA,main="Pendiente Urabá de Antioquia [grados]", col=topo.colors(6,alpha=0.6))
plot(algunosmunicipios, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipios), labels=as.character(algunosmunicipios$MPIO_CNMBR), cex=0.3)
```
```{r}
plot(aspectA,main="Aspecto Urabá de Antioquia", col=rainbow(10,alpha=0.7))
plot(algunosmunicipios, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipios), labels=as.character(algunosmunicipios$MPIO_CNMBR), cex=0.3)
```
```{r}
lista <- list("RIONEGRO" , "PEÑOL" , "GUARNE" , "SANTUARIO" , "MARINILLA" , "SAN VICENTE" , "GRANADA" , "CONCEPCIÓN" , "BARBOSA")
(algunosmunicipiosm <- munic %>% filter(MPIO_CNMBR %in% unlist(lista)))
```
```{r}
algunosmunicipiosm <- as(algunosmunicipiosm, "Spatial")
```
```{r}
elev_cropM = crop(elevation, algunosmunicipiosm)
elev_cropM = mask(elev_cropM, algunosmunicipiosm)
plot(elev_cropM, main=" DEM Zona Montañosa de Antioquia ")
plot(algunosmunicipiosm, add=TRUE)
text(coordinates(algunosmunicipiosm), labels=as.character(algunosmunicipiosm$MPIO_CNMBR), cex=0.3)
```

```{r}
slopeM = terrain(elev_cropM, opt='slope', unit='degrees')
aspectM = terrain(elev_cropM, opt='aspect',unit='degrees')
hillM = hillShade(slopeM, aspectM, 40, 315)
```
```{r}
plot(slopeM,main="Pendiente Zona Montañosa Antioquia [grados]", col=topo.colors(6,alpha=0.6))
plot(algunosmunicipiosm, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipiosm), labels=as.character(algunosmunicipiosm$MPIO_CNMBR), cex=0.3)
```
```{r}
plot(aspectM,main="Aspecto Zona Montañosa de Antioquia", col=rainbow(10,alpha=0.7))
plot(algunosmunicipiosm, add=TRUE, lwd=0.5)
text(coordinates(algunosmunicipiosm), labels=as.character(algunosmunicipiosm$MPIO_CNMBR), cex=0.3)
```

