Calculate zonal statistics from rasters in multiple zip files

This is a wrapper for the zonalFromZip function published in the previous post, for when you have multiple zip files with multiple raster files each (as in the WorldClim paleo-climate database), and you want to extract zonal statistics for them all automatically. To use it, you’ll need to have the zonalFromZip function loaded, as well as the raster R package.

zonalsFromZips <- function(zip.files, zones.rast, rast.file.ext = ".tif", aux.file.ext = NULL, verbosity = 1, ...) {
  results <- vector("list", length(zip.files))
  names(results) <- basename(tools::file_path_sans_ext(zip.files))
  for (f in 1:length(zip.files)) {
    message("\nUNZIPPING FILE ", f, " OF ", length(zip.files), " (", basename(zip.files[f]), ")...")
    results[[f]] <- zonalFromZip(zip.file = zip.files[f], zones.rast = zones.rast, rast.file.ext = rast.file.ext, aux.file.ext = aux.file.ext, verbosity = verbosity, ...)
  }; rm(f)
  message("\nFINISHED ALL!")
}  # end zonalsFromZips function


The result is a list of dataframes, each containing the zonal stats for one of the .zip files of rasters. Usage example:

LGM.zonals <- zonalsFromZips(zip.files = list.files("/home/joe/LGM", full.names = TRUE), zones.rast = utm10.raster)

[presented with Pretty R]




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