As for gstat: I think you can't with krigeST, but you may succeed with krige when you take time as the third dimension -- of course this constrains the variogram models you can choose from to the metric model.
On 08/11/16 23:35, Santiago Beguería Portugués wrote: > Dear R-sig-geo list members, > > I am working on a spatio-temporal kriging model (using gstat::krigeST) of two > closely related variables. I’m getting good results on one of them, and not > so good on the other. Since both dependent variables are inter-related, I > expect that co-kringing would be a good option (I’ve done this in a > spatial-only context with the same two variables and co-kriging proved > beneficial). > > So, is it possible to perform spatiotemporal CO-kriging, and if so are you > aware of any examples? I have not been able to find any myself. > > Cheers, > > Santiago Beguería > CSIC > Spain > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > -- Edzer Pebesma Institute for Geoinformatics (ifgi), University of Münster Heisenbergstraße 2, 48149 Münster, Germany; +49 251 83 33081 Journal of Statistical Software: http://www.jstatsoft.org/ Computers & Geosciences: http://elsevier.com/locate/cageo/
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