Hei, I have two spatial datasets Sa and Sb, both with lat-lon coordinates and from same geographic area, but from different localities within the area (independent samples). Sa is biotoc data, Sb is some environmental parameter (fertility). I 'know' that Sb affects Sa, but wonder on which scale. I tried different interpolations by creating different grids of Sb (e.g. 20x20 and 100x100 points using 'interp' ...) and found that a more coarse grid did a better job in predicting Sa than a high resolution grid. However, I wonder if there aren't more elegant ways, e.g. using kriging. Just to avoid misunderstandings: I do not just want to get a spatial grid of Sa and Sb, but I want to find on which Scale Sb affects Sa. cheers, Robert,
Robert Ptacnik Norwegian Institute for Water Research (NIVA) Gaustadalléen 21 NO-0349 Oslo FON +47 982 277 81 FAX +47 221 852 00 ---------------------------------------------------------------------------------------------------------------------- NIVAs hovedkontor har flyttet til nye lokaler i CIENS - Forskningssenter for miljø og samfunn; Gaustadalléen 21, 0349 Oslo. Meld deg på vårt nyhetsbrev på www.niva.no). ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
