I am new to R and this is the first time I am trying to use AdehabitatHS for exploratory niche analysis.I am trying to compute utilization weight of pixels in the SpatialPixelDataset "maps" based on species locations "Locs" using function cp
It looks like the function needs the same resolution in x and y, and this is not the case for the rasters you are using (an issue perhaps related with the projection). Should be possible to fix at the raster level using resample, for instance.
Thank you for the answer Renaud,
Isn't difference in cell dimensions an artifact of the projection? (I used UTM Zone 38N). I think Gauss-Kruger will have a similar effect (?). Is there is a projection which will remove that artifact completely? Or how do I resample cell size otherwise?
Yes it's probably an artifact. You can try to build a dummy raster with the "correct" resolution, and then resample the projected raster according to the dummy raster:
> library(raster)
> utm38n
> (resx (resy all.equal(resx, resy)
[1] "Mean relative difference: 1.942304e-08"
> res
> r
> res(r)
[1] 102.6638 102.6638
> all.equal(res(r)[1], res(r)[2])
[1] TRUE
Then, if you have a raster called LST:
LST2
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