when confronted with a large dataset i usually begin by trying methods out on subsets, e.g. start with 2^n for n = 8 and work your way up to 2^17... you might find convergence to the answer to your questions before analyzing the full dataset.
Lee De Cola ----- Original Message ----- From: "Roelof Coster" <roelofcos...@gmail.com> To: r-sig-geo@r-project.org Sent: Thursday, February 13, 2014 7:30:04 AM Subject: [R-sig-Geo] Spacetime regression Hi all, I want to do a spatio-temporal regression on a quite large dataset. I have >100 k records. These correspond to measurements taken at 3000 locations, approximately every half year. The geographic area is all of the Netherlands (240 x 300 km). Is spatio-temporal kriging advisable for a dataset that is so large? When I make the sample space-time variogram (with variogramST), it automatically chooses a time-lag difference of about 2 days. This is much too small to be meaningful for my data; half-year periods would be interesting. Is there a way to tell this to the variogramST function? Thanks in advance, Roelof Coster [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
