In R, I am using the focal function to blur some rasters. SO far, I am reading each raster individually, I apply the focal (please see the code below) and then I move to the next raster etc. This process of reading and applying the function to each raster separately is time consuming because I have several rasters for a many study sites.
What I'd like to do, is to read the rasters located in a folder, and apply the focal function in an automated way. That is, the function should read each raster of the folder and then will apply exactly the code I am using for every raster. In this way, the only parameters I'll have to set would be the working directory.
This is what I'm doing so far:
library(terra)
wd = "C:/Users/nikos/OneDrive/Desktop/psf_paris2/"
# read the rasters
pop = rast(paste0(wd, "pop.tif"))
# focal for every raster
# raster named pop
for (i in seq(from = 0.2, to = 0.8, by = 0.2)) {
print(i)
gf <- focalMat(pop, i * 400, "Gauss")
r_gf <- focal(pop, w = gf, na.rm = TRUE)
r_gf = aggregate(r_gf, fact = 4, fun = "mean", cores = 8)
stringedi = gsub("\\.", "", toString(format(i, nsmall = 2)))
writeRaster(r_gf,
paste0("C:/Users/nikos/OneDrive/Desktop/psf_paris2/pop",
stringedi, ".tif"),
overwrite=TRUE)
}
Here is one raster:
pop = raster(new("RasterLayer", file = new(".RasterFile", name = "C:\\Users\\Geography\\Desktop\\focal\\pop.tif",
datanotation = "FLT4S", byteorder = "little", nodatavalue = -Inf,
NAchanged = FALSE, nbands = 1L, bandorder = "BIL", offset = 0L,
toptobottom = TRUE, blockrows = c(rows = 5L), blockcols = c(cols = 358L),
driver = "gdal", open = FALSE), data = new(".SingleLayerData",
values = logical(0), offset = 0, gain = 1, inmemory = FALSE,
fromdisk = TRUE, isfactor = FALSE, attributes = list(), haveminmax = TRUE,
min = 0.43411433696747, max = 355.74725341797, band = 1L,
unit = "", names = "pop"), legend = new(".RasterLegend",
type = character(0), values = logical(0), color = logical(0),
names = logical(0), colortable = logical(0)), title = character(0),
extent = new("Extent", xmin = 165700, xmax = 201500, ymin = 5735500,
ymax = 5769600), rotated = FALSE, rotation = new(".Rotation",
geotrans = numeric(0), transfun = function ()
NULL), ncols = 358L, nrows = 341L, crs = new("CRS", projargs = "+proj=moll +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs"),
srs = "+proj=moll +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",
history = list(), z = list()))
The solution to the files name problem:
library(terra)
library(purrr)
library(fs)
wd = "C:/Users/Geography/Desktop/focal/"
# read the rasters
pop = rast(paste0(wd, "pop.tif"))
doStuff <- function(file){
pic = rast(file)
for (i in seq(from = 0.2, to = 0.8, by = 0.2)) {
print(i)
gf <- focalMat(pic, i * 400, "Gauss")
r_gf <- focal(pic, w = gf, na.rm = TRUE)
r_gf = aggregate(r_gf, fact = 4, fun = "mean", cores = 4)
(stringedi = gsub("\\.", "", toString(format(i, nsmall = 2))))
writeRaster(r_gf,
paste0("C:/Users/Geography/Desktop/focal/",
basename(fs::path_ext_remove(file)),
stringedi, ".tif"),
overwrite=TRUE)
}
}
list.files(wd, pattern = "tif$", full.names = TRUE) |>
purrr::walk(doStuff)