Re: AI-GEOSTATS: sparse data problem
- Thank you Umberto,
this definitely sounds as an interesting solution. Can
you advise something to read about this method?
--- Umberto Fracassi <fracassi@...> 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,
> 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
> >fit to the main correlation line between original
> >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
> >Many thanks in advance for your help,
> >Gali Sirkis
> Umberto Fracassi
> Istituto Nazionale di Geofisica e Vulcanologia--------------------------------------------------------
> Via di Vigna Murata, 605
> 00143 Roma
> Tel: +39-06-51860557
> Fax: +39-06-5041181
> Email: fracassi@...
> WWW: http://www.ingv.it/paleo/fracassi/
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