Oh, on that last part with the conversion, I actually used
coordsp<-SpatialPoints(corysp, proj4string=CRS"+proj=longlat
+datum=WGS84")) , bbox = NULL)
Sorry for that mistake. Either way, it does not work.
> Thanks Mathieu!
>
> This has gone very well so far, but I cannot seem to get the XY loca
Thanks Mathieu!
This has gone very well so far, but I cannot seem to get the XY location
data and the bioclim maps in the same proj4string.
CODE: pr <- slot(count.points(corysp, bio), "data")[,1]
Error in count.points(corysp, bio) : different proj4string in w and xy
This seems strange since ever
Hello list,
I'm trying to estimate average home range across animals per season. I use
here a subset of my data, 3 individuals, 7 relocations each, tracked across
3 seasons (actual dataset is ~ 100K, ~30 animals). Not all fish are present
in all seasons, and their locations differ between seasons.
Dear list (and Robert Hijmans in particular),
I am using the terrain function in the raster package to calculate
slope and aspect prior to performing topographic correction. The
landsat package supports applying a smoothing factor during the slope
calculation, to avoid over-correction of reflecta
Thanks for pointing that out, Pascal.
By the way, if anyone wants sample data to try out these codes, I have them
here:
Brick 1: https://www.dropbox.com/s/bzgz2w7ao8kld27/pet.zip
Brick 2: https://www.dropbox.com/s/jyuc0u0pt3bozn4/rain.zip
I tried to convert the data into a numeric vector:
cor.p
