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License: GNU General Public License v3.0
Update the package version with some changes:
Download functions
Create global function zonal_operation
for following rasters processing:
### rasters only
## routines [crop, mask, rasterize, zonal]
## required arguments [polygon object - sf, raster object - terra, rasterize column, zonal operation]
# create function
library("sf")
library("terra")
library("openRspat")
zonal_operation <- function(pol, rast, opn) {
# transform crs of pol to area_proj()
pol <- st_transform(pol,
"+proj=longlat +datum=WGS84 +no_defs")
# convert sf to spatvector
pol_v <- terra::vect(pol)
print("to vect")
# crop the raster
crop <- terra::crop(rast,
pol_v)
print("cropped")
# mask the raster
mask <- terra::mask(crop,
pol_v)
print("masked")
# get unique ID
r_id <- pol_v$WDPA_PID %>%
as.numeric()
print("got id")
# rasterize the polygon
r <- terra::rasterize(pol_v,
mask,
r_id)
print("rasterized")
# compute zonal statistics
z <- terra::zonal(mask,
r,
fun=opn,
na.rm=T)
print("zonal statistics")
# return zonal statistics as data frame
return(z)
}
pol <- read_sf("../wdpa_kfw_spatial_latinamerica_2021-02-01_supportedPAs_unique.gpkg")
rast <- rast("../../datalake/mapme.protectedareas/input/clay_content/clay_content_30_cm.tif")
opn <- 'mean'
x <-
zonal_operation(pol, rast, opn)
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