[R-sig-Geo] R vs GSLIB

[Thomas Adams]

Thierry

I have used used both GSTAT and GSLIB a lot and from a usability point 
of view, I much prefer GSTAT because of it's ability to interface with 
with GRASS GIS. This is particularly true of the standalone version of 
GSTAT. I began using GSLIB, and while I continue to make use of it, I 
fing GSTAT fits my needs better.

Another factor is that when ever I have encountered problems, Edzer has 
been very helpful to me — thank you Edzer!

Regards,
Tom


Edzer J. Pebesma wrote:
> Hi Thierry,
>
> I think spatstat covers point pattern analysis, which is mostly not 
> covered by gslib. I have seen either no or small differences between 
> gstat and gslib, but never differences that I could not explain. They 
> may for instance relate to how you integrate covariances over a block; 
> there's many ways you can do this, all approximate. Other issues are 
> neighbourhood selections that may be non-unique (e.g. take the nearest 
> 20 neighbours).
>
> I don't know of anyone who did a systematic comparison; you may want to 
> ask on ai-geostats.  I also don't know how to address the gslib 
> community, if there is one. Has the open source version ever been 
> updated since the printing of the 2nd edition of the book? Who to 
> address with bugs or issues?
> --
> Edzer
>
> ONKELINX, Thierry wrote:
>   
>> Dear useRs,
>>
>>  
>>
>> Currently I'm taking a course on spatial statistics. We use GSLIB in the
>> exercises. Maybe I could convince the professor to let the R aficionados
>> do their homework with R. So I was wondering if someone had already
>> compared the algorithms used in R packages like spatstat and gstat
>> versus the algorithms of GSLIB. If both R and GSLIB use similar
>> algorithm and hence yield the same results, then we probably can switch
>> to R.
>>
>>  
>>
>> Best regards,
>>
>>  
>>
>> Thierry
>>
>>  
>>
>> ------------------------------------------------------------------------
>> ----
>>
>> ir. Thierry Onkelinx
>>
>> Instituut voor natuur- en bosonderzoek / Reseach Institute for Nature
>> and Forest
>>
>> Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
>> methodology and quality assurance
>>
>> Gaverstraat 4
>>
>> 9500 Geraardsbergen
>>
>> Belgium
>>
>> tel. + 32 54/436 185
>>
>> Thierry.Onkelinx at inbo.be <mailto:Thierry.Onkelinx at inbo.be> 
>>
>> www.inbo.be <http://www.inbo.be/>  
>>
>>  
>>
>> Do not put your faith in what statistics say until you have carefully
>> considered what they do not say.  ~William W. Watt
>>
>> A statistical analysis, properly conducted, is a delicate dissection of
>> uncertainties, a surgery of suppositions. ~M.J.Moroney
>>
>>  
>>
>>
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>>
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>
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-- 
Thomas E Adams
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