Thank you Umberto,

this definitely sounds as an interesting solution. Can
you advise something to read about this method?

thanks again,

Gali

--- Umberto Fracassi <[EMAIL PROTECTED]> wrote:
> Hi Gali,
> 
> may you not try with Radial Basis Function
> (Multiquadric) instead of 
> kriging? It's meant to be an exact interpolator,
> although sometimes it 
> doesn't fully honor your data. However, it's based
> on the concept of 
> track data which seems to me to suit the issue you
> mention. I employ RBF 
> with macroseismic effects of historical earthquakes.
> Since these data 
> are sparse (and scarce and scattered..!) by
> definition, this algorithm 
> effectively pursues aligned pattern in the dataset.
> 
> Hope this may help...
> 
> Ciao and best regards,
> 
> 
> Umberto
> 
> Gali Sirkis wrote:
> 
> >Dear list members,
> >
> >Please advise what to do in following case:
> > The sparse dataset for kriging inlcudes only few
> >(5-6) original data points + interpolated external
> >data, that covering whole study area.  
> >One of the original data points seems completly not
> to
> >fit to the main correlation line between original
> and
> >external data, however mostly probable is not an
> >error, but might represent different combination of
> >data properties. 
> >Is there is any chance to use this outlying point?
> >Does is sound feasible for you as specialists in
> >statistical analysis to use the kriging method in
> this
> >case?
> >
> >Many thanks in advance for your help,
> >
> >Gali Sirkis
> >
> >__________________________________
> >
> >  
> >
> 
> -- 
> 
> 
> Umberto Fracassi
> 
>
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