[R-sig-Geo] [Soc] GRASS module for kriging - call for users [was: R-sig-Geo Digest, Vol 69, Issue 21]

[Dylan Beaudette]

On Thu, May 28, 2009 at 1:21 AM, Anne Ghisla Insubriae
<a.ghisla at studenti.uninsubria.it> wrote:
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> Dylan Beaudette ha scritto:
> [snip]
>> Hi. It is alway nice to see people working GRASS SoC projects, thank you!
>>
>> I would just add-- I think that all efforts to build onto existing
>> libraries would be a good thing. That is to say, try and work with
>> GRASS-R-gstat: this is by far one of the best implementations of
>> geostatistics available. Paul's automap would be another likely
>> candidate .
>
> Hi Dylan, and sorry for late response,
>
> there are two packages that provide kriging in R, and the discussion in
> this thread leads to use one of them to avoid the differences in results
> coming from implementation differences. On your advice I'll choose gstat
> and automap, even if geoR looked very complete.
> Maybe I could offer the user the choice bteween the two packages, in a
> 2.x release of the plugin. This could allow R users keep using their
> preferred algorithms, what do you think?

Hi. Thank you for considering my suggestion, but note that I am by no
means an authority on the implementation of geostatistical routines. I
wouldn't want to upset the author of geoR over my personal
preferences. That said, I have found the features, ease of use, and
support for gstat ideal. Giving users a choice is always a good
thing-- I think that there will be many happy users if both
implementations are available.

>
>> The real problem with a single GRASS module for 'kriging' is that the
>> operation requires careful thought and familiarity with the data-- not
>> really something that can be easily generalized to the conceptual
>> basis of a single GRASS module. Perhaps asking Edzer about room for
>> user-interface improvements in the gstat code would yield some good
>> starting points.
>
> Good - I'll ask him soon.

Great. The points brought up down-thread by G. Allegri (although
partially implemented in gstat) would be a good starting point for
development of interactive variogram analysis.

Cheers,
Dylan


> cheers,
> Anne
>
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