Hello all,
I have been using gstat to krige temperature data with elevation as
external drift.
feb01.meantemp.krig<-krige(MEANTEMP~elevation, locations=
feb01.meantemp, newdata=elevation, model=feb01.meantemp.r)
I keep encountering the warning message:
Error: cannot allocate vector of size 20.7 Mb
In addition: Warning messages:
1: In as.list.data.frame(X) :
Reached total allocation of 1535Mb: see help(memory.size)
I have been kriging separate datasets for each day of the year. Usually
I can successfully krige 10 days or so before I run into these memory
problems. I then have to close R and begin again.
To alleviate the problem, I reduced the surface onto which I am kriging.
Right now it is a 1300km x 600km rectangle comprised of 250m x 250m grid
cells. I am using about 80 weather stations for the interpolation. Is my
grid really too big? I ask this because for the grids I do successfully
interpolate I then use writeAsciigrid in Maptools and I run into the
same problem: reached total allocation of 1535 Mb. But I'm not even
interpolating here...just exporting the result as an Ascii grid. I find
it hard to believe that my interpolation is out of the ordinary compared
to what other gstat users do...or perhaps I should not be using a
Windows computer with 2.00Gb of RAM?
Any ideas?
Thank you very much,
Richard
--
Richard Feldman, PhD Candidate
Dept. of Biological Sciences, McGill University
W3/5 Stewart Biology Building
1205 Docteur Penfield
Montreal, QC H3A 1B1
514-212-3466
richard.feld...@mail.mcgill.ca
_______________________________________________
R-sig-Geo mailing list
R-sig-Geo@stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
