Spatio-Temporal Kriging: Memory Issues
Dear Dr. Coster, Thank you very much. That worked perfectly.? -Abdullah?
On Wednesday, February 15, 2017 8:11 AM, Roelof Coster <roelofcoster at gmail.com> wrote:
Hello Karim, You might want to use local kriging, as in: predicted<- krigeST(values ~ 1, data, prediction.grd, v.model, nmax = 500, stAni = 1) The nmax parameter is the number of observations that will be used for each location. The stAni is a parameter controlling whether observations that are 'spatially' or 'temporally' near will be preferred. Local kriging may also be theoretically better because it only assumes local stationarity rather than the existence of a constant mean for the entire domain. Hope this helps! Roelof ??? [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo at r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo