Hi ALL,

 

I have done a number of interpolations using kriging and idw with gstat,
and use krige.cv to produce the cross-validation (nfold=5) as well.

How can I evaluate the results of cross-validation for individual
variables based on the me, mspe, rmse, Mean square normalized error, r
(observed vs predicted) and so on?

I mean what kind of criteria I should use in my case. For example, with
512 points, a Sph model was developed and resultantly one variable's
cross-validation produced me=-0.04, rmse=0.63, Mean square normalized
error=1.03, and r=0.36. Is the interpolation accepted and how and why?

 

Cheers

 

Yong Li


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