Thanks, I'm looking at gstat and trying to understand in which way it is appropriate to add time as the third dimension... Indeed the "simple" attribute is not for space-time problems :-)
-----Messaggio originale----- Da: Edzer J. Pebesma [mailto:[EMAIL PROTECTED] Inviato: venerd́, 3. dicembre 2004 11:50 A: [EMAIL PROTECTED]; [EMAIL PROTECTED] Oggetto: [R] Re: Computation of space-time empirical crosscovariances Giovanna, space-time cross covariance has never seemed to me something that can be done "simple", but package gstat at least offers you: 1. to include time as a third dimension, and model 3D anisotropy, 2. to calculate cross variograms between different moments in time, and proceed with cokriging. -- Edzer ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
