[R-sig-Geo] R vs GSLIB

[Edzer J. Pebesma]

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
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