Hello everybody, I have managed to make bioclim grids from WORLDCLIM .bil files on R (http://www.worldclim.org/) I got this:> head(grids); $bio1 class : RasterLayer dimensions : 7200, 7200, 51840000 (nrow, ncol, ncell) resolution : 0.008333333, 0.008333333 (x, y) extent : -150, -90, 0, 60 (xmin, xmax, ymin, ymax) coord. ref. : NA values : C:\Users\Julian\AppData\Local\Temp\R_raster_tmp\raster_tmp_4239836849.grd min value : -123 max value : 295
$bio2 class : RasterLayer ... and I got this kind of array for each BIOCLIM variable: > head(grids$bio1); 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 1 -20 -20 -20 -19 -18 -18 -18 -17 -16 -16 -16 -14 -14 -13 -12 -11 -10 -9 -8 -11 2 -20 -20 -19 -18 -18 -18 -17 -17 -16 -15 -14 -14 -13 -12 -11 -9 -8 -7 -6 -4 3 -19 -19 -18 -18 -18 -17 -16 -16 -15 -14 -14 -13 -12 -10 -8 -7 -6 -5 -4 -4 What I need to do is to transform this in a dataframe with long,lat,bio1,...,bio19 as columns: My main issue is how to get long and lat from this. Is it possible to divide the extent in 7200 to get those ? How can I do it efficiently? I tried a few times but I can't make it.Then I'll need to associate each long, lat with its variable values. Thank you for any piece of advice, Julian [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo