Dear Minti, with only 8 stations there is not enough data to construct reliable covariance (variogram) models. Eight stations simply isn't very many for reliably modeling spatial structure. You would be much better off just using inverse distance weighting (IDW), which gstat can also do, or even nearest-neighbor interpolation.
Second, it would be best to project the latitudes and longitudes to a planar coordinate system appropriate for your study region. I think gstat may be able to deal with spherical distances, but I haven't any experience with that. The rgdal package is one of several that can do this in R; it can also be done in GIS or with other geospatial tools. Yours, Ashton On 09/07/12, Mintewab Bezabih, wrote: > Dear the R-sig-geo users, > > > I have been trying to interpolate rainfall and temperature data for 8 > stations and that needs to be interpolated at a farm level so that I > have farm level temperature and rainfall observations. > > I am trying to use R for that. First off is kriging in gstat something > that I can use for that purpose? I have latitude and longitude > information. Can somebody give me some tips on how I can go about > that? > > many thanks in advance > minti > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-geo ----- Ashton Shortridge Associate Professor ash...@msu.edu Dept of Geography http://www.msu.edu/~ashton 235 Geography Building ph (517) 432-3561 Michigan State University fx (517) 432-1671 _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
