[R-sig-Geo] How to do cross validation for universal kriging in Gstat

[Edzer Pebesma]

Kai,

krige.cv(Temp~Ele, data, model)

should do the job, assuming that your primary variable of interest is
temperature.
--
Edzer


Kai Zhang wrote:
> Dear all,
>
> I am attempting several Kriging methods to interpolate temperature in a area. It works well for me to use krige.cv to conduct cross validation for ordinary kriging and gstat.cv for co-kriging. However, I am confused on how to conduct cv for universal kriging. The temperature data is from the data file 1 and the secondary variable with more intense sampling is from another file. Krige.cv does not provide a parameter on 'newdata'. When I was trying gstat.cv, the variogram function automatically fits cross-variogram after I incorporate both temperature and the secondary information into a gstat object. Any suggestions are welcome.
>
> g <- gstat(NULL,id="Temp", formula=Temp~1, data=TMP)
> g <- gstat(g,id="Ele", formula=Ele~1, data=ELE)
> g <- gstat(g, id = "Temp", model = vgm(1, "Exp", 44559, 1))
> x <- variogram(g)
>
> Many thanks,
> Kai Zhang
>
>
>
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-- 
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of Münster 
Weseler Stra?e 253, 48151 Münster, Germany. Phone: +49 251 
8333081, Fax: +49 251 8339763  http://ifgi.uni-muenster.de 
http://www.52north.org/geostatistics      e.pebesma at wwu.de