DAtos de elevacion en R de La Guajira

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## install.packages("rgdal")
## install.packages("raster")
## install.packages("elevatr")
## install.packages("rasterVis")
## install.packages("rgl")
## install.packages("hash")


library(rasterVis)
library(raster)
library(rgl)
library(rgdal)
library(elevatr)
## obtener raster
library(shapefiles)
library(sf)
library(rgeos)
library(hash)
list.files("C:/Users/familiar/Downloads/gb2/La guajira/44_LA_GUAJIRA/ADMINISTRATIVO")

 [1] "MGN_DPTO_POLITICO.cpg"     "MGN_DPTO_POLITICO.dbf"     "MGN_DPTO_POLITICO.prj"    
 [4] "MGN_DPTO_POLITICO.sbn"     "MGN_DPTO_POLITICO.sbx"     "MGN_DPTO_POLITICO.shp"    
 [7] "MGN_DPTO_POLITICO.shp.xml" "MGN_DPTO_POLITICO.shx"     "MGN_MPIO_POLITICO.cpg"    
[10] "MGN_MPIO_POLITICO.dbf"     "MGN_MPIO_POLITICO.prj"     "MGN_MPIO_POLITICO.sbn"    
[13] "MGN_MPIO_POLITICO.sbx"     "MGN_MPIO_POLITICO.shp"     "MGN_MPIO_POLITICO.shp.xml"
[16] "MGN_MPIO_POLITICO.shx"    

muni <- shapefile("C:/Users/familiar/Downloads/gb2/La guajira/44_LA_GUAJIRA/ADMINISTRATIVO/MGN_MPIO_POLITICO.shp")
head(muni)

guaji <- muni[muni$MPIO_CNMBR=="La Guajira",]
plot(muni, main="- LA GUAJIRA -", axes=TRUE)
plot(guaji, add=TRUE)
invisible(text(coordinates(muni), labels=as.character(muni$MPIO_CNMBR), cex=0.8))

elevation <- get_elev_raster(guaji, z = 8)

Downloading DEMs [===>-----------------------]  17% eta:  8s
Downloading DEMs [======>--------------------]  25% eta:  6s
Downloading DEMs [========>------------------]  33% eta:  6s
Downloading DEMs [==========>----------------]  42% eta:  5s
Downloading DEMs [=============>-------------]  50% eta:  4s
Downloading DEMs [===============>-----------]  58% eta:  3s
Downloading DEMs [=================>---------]  67% eta:  3s
Downloading DEMs [===================>-------]  75% eta:  2s
Downloading DEMs [=====================>-----]  83% eta:  1s
Downloading DEMs [========================>--]  92% eta:  1s
Downloading DEMs [===========================] 100% eta:  0s
Merging DEMs
Reprojecting DEM to original projection
ning昼㹡n argumento finito para min; retornando Infningun argumento finito para max; retornando -InfNote: Elevation units are in meters.
Note: The coordinate reference system is:
 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0

elevation

class      : RasterLayer 
dimensions : 1546, 2055, 3177030  (nrow, ncol, ncell)
resolution : 0.00275, 0.0027  (x, y)
extent     : -74.545, -68.89375, 8.393864, 12.56806  (xmin, xmax, ymin, ymax)
crs        : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 
source     : memory
names      : layer 
values     : -3936.986, 5539.776  (min, max)

plot(elevation, main="This the downloaded DEM [meters]")
plot(muni, add=TRUE)

elev_crop = crop(elevation,muni)
plot(elev_crop, main="Cropped Digital elevation model")
plot(muni, add=TRUE)

elev_crop

class      : RasterLayer 
dimensions : 764, 928, 708992  (nrow, ncol, ncell)
resolution : 0.00275, 0.0027  (x, y)
extent     : -73.665, -71.113, 10.39726, 12.46006  (xmin, xmax, ymin, ymax)
crs        : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 
source     : memory
names      : layer 
values     : -2867.742, 5345.619  (min, max)

spatialref <-"+proj=tmerc +lat_0=4.596200416666666 +lon_0=-80.07750791666666 +k=1 +x_0=1000000 +y_0=1000000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs "
pr3 <- projectExtent(elev_crop, spatialref)
res(pr3) <- 100
rep_elev <- projectRaster(elev_crop, pr3)

ning昼㹡n argumento finito para min; retornando Infningun argumento finito para max; retornando -Inf

rep_elev

class      : RasterLayer 
dimensions : 2377, 2870, 6821990  (nrow, ncol, ncell)
resolution : 100, 100  (x, y)
extent     : 1698465, 1985465, 1648658, 1886358  (xmin, xmax, ymin, ymax)
crs        : +proj=tmerc +lat_0=4.596200416666666 +lon_0=-80.07750791666666 +k=1 +x_0=1000000 +y_0=1000000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs 
source     : memory
names      : layer 
values     : -2867.697, 5337.705  (min, max)

(rep_guaji = spTransform(muni,spatialref))

class       : SpatialPolygonsDataFrame 
features    : 15 
extent      : 1702207, 1979765, 1649852, 1884291  (xmin, xmax, ymin, ymax)
crs         : +proj=tmerc +lat_0=4.596200416666666 +lon_0=-80.07750791666666 +k=1 +x_0=1000000 +y_0=1000000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +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  :         44,      44001,    ALBANIA,                                     1888,  179.59085022,      2017, LA GUAJIRA, 0.710049632727, 0.0148255649224 
max values  :         44,      44874, VILLANUEVA, Ordenanza015 del 29 de Noviembre de 1989, 7886.05230923,      2017, LA GUAJIRA,  6.11271226506,  0.653549310217 

plot(rep_elev, main="Reprojected Digital elevation model")
plot(rep_guaji, add=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 LA GUAJIRA [meters]", col=terrain.colors(25,alpha=0.7))

plot(slope,main="Slope for LA GUAJIRA [degrees]", col=topo.colors(25,alpha=0.7))

plot(aspect,main="Aspect for LA GUAJIRA [degrees]", col=rainbow(25,alpha=0.7))

plot(hill,
        col=grey(1:100/100),  # create a color ramp of grey colors for hillshade
        legend=FALSE,         # no legend, we don't care about the grey of the hillshade
        main="DEM forLA GUAJIRA",
        axes=FALSE)           # makes for a cleaner plot, if the coordinates aren't necessary

plot(rep_elev, 
        axes=FALSE,
        col=terrain.colors(12, alpha=0.35), add=TRUE) # color method

library(rayshader)
elmat = raster_to_matrix(rep_elev)

[1] "Dimensions of matrix are: 2870x2377."

elmat %>%
  sphere_shade(texture = "imhof2") %>%
  plot_map()

elmat %>%
  sphere_shade(texture = "desert") %>%
  add_water(detect_water(elmat), color = "desert") %>%
  plot_map()

elmat %>%
  sphere_shade(texture = "desert") %>%
  add_water(detect_water(elmat), color = "desert") %>%
  add_shadow(ray_shade(elmat), 0.5) %>%
  plot_map()

install.packages("jpeg")

Error in install.packages : Updating loaded packages

library(jpeg)
getv=function(i,a,s){
  ct = dim(i)[1:2]/2
  sx = values(s)/90 * ct[1]
  sy = values(s)/90 * ct[2]
  a = values(a) * 0.01745
  px = floor(ct[1] + sx * -sin(a))
  py = floor(ct[2] + sy * cos(a))
  
  
  template = brick(s,s,s)
  values(template)=NA
  
  cellr = px + py * ct[1]*2
  cellg = px + py * ct[1]*2 + (ct[1]*2*ct[2]*2)
  cellb = px + py * ct[1]*2 + 2*(ct[1]*2*ct[2]*2)
  
  template[[1]] = i[cellr]
  template[[2]] = i[cellg]
  template[[3]] = i[cellb]
  
  template = template * 256
  
  template
}
# Load an environment map image
# An example can be found at http://i.imgur.com/9pvbHjN.jpg
map=readJPEG("./dem/9pvbHjN.jpg")

Error in readJPEG("./dem/9pvbHjN.jpg") : unable to open ./dem/9pvbHjN.jpg

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