[R-sig-Geo] [Soc] GRASS module for kriging - call for users [was: R-sig-Geo Digest, Vol 69, Issue 21]
Anne Ghisla Insubriae
a.ghisla at studenti.uninsubria.it
Sat May 23 19:59:49 CEST 2009
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Ebrahim Jahanshiri a écrit:
> Dear Anne,
Ebrahim,
> Thanks for the enquiry. I think we should have done this long before. I
> havent done any geostatistics with GRASS but I did alot in ArcGIS and also
> in R (variography). I have to tell you that ArcGIS is for those who want to
> have a surface only by just clicking on "finish" button trought its
> powerfull interface. That is, it does not provide a good scientific
> backgroud for you to check the procedure. for example how it fitted the
> variogram model or how exactly it does the "validation". That is why the
> "Geostatistical package" objects or classes are not available for the
> programmers to program with (there is a kriging in "Spatial analyst" package
> though that its object is programmable and I personally did some with it.
> but it lacks the variogram modeling). I think they are still working on it.
> In short I dont recommend ArcGIS for the so called scientific kriging.
I was afraid of this. Therefore I guess an interface with too many
mandatory options would be considered overcomplicated.
There should be as more options as needed for a flexible calculations,
and also proper defaults to clik on Ok and get an acceptable result.
What do you think about this solution?
> In
> the other hand R is very powerfull in that it gives you freedom to do your
> own style through coding. I worked with "GeoR" pakcage and it is pretty nice
> both in terms of variography and kriging. There are other package like
> "Gstat" that I havent worked with but have good qualities. GeoR implements
> the so called "model based geostatistics" which is the application of
> bayesian statististics to the geostistics I guess and it is quite new.
I'm presently having a look at both geoR and gstat, and also the wrapper
package automap.
I guess that the first users of the new module would be already familiar
with R and GRASS, so their feedback about most used functions is very
important.
> I hope these comments were helpful and please let me know if you need any
> further explanation from me,
Very helpful, thank you very much!
> Ebrahim
>
best regards,
Anne
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