[STATSGRASS] R/grass, numerical instability/kriging
Tomas Lanczos
lanczos at t-zones.sk
Wed Oct 18 10:55:01 EDT 2006
Hello,
finally I solved it - one of the points were duplicated another two points
were too close to each others, now it's perfect, thank You. However, is
there a common rule for e.g. selecting resolution for the given smallest
distance the measurments?
regards
Tomas
>
> Tomas,
>
> There's a few possible of reasons; the most common ones are
> more than one measurement sharing the same location, or
> insane variogram models in kriging; anothers is perfectly
> correlated predictors, possibly in a local search neighbourhood..
>
> We need to see more from your case to find out.
>
> Best regards,
> --
> Edzer
>
> Tomas Lanczos wrote:
> > Hello,
> >
> > how can I prevent numerical instability in kriging? Using R with
> > grass63, library gstat.
> >
> > Many thanks
> >
> > Tomas
> >
> > _______________________________________________
> > statsgrass mailing list
> > statsgrass at grass.itc.it
> > http://grass.itc.it/mailman/listinfo/statsgrass
> >
>
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