[R-sig-Geo] R vs GSLIB

[Paulo Justiniano Ribeiro Jr]

Thierry

Indeed many algorithms between GSLIB and some geostats packages in R (have
a look at the Spatial CRAN task view) are similar, although they can
produce sligtly different results in some cases.
This is specially valid for the "core" goestats algorithms (SK, OK, KTE,
UK)

However, there are algorithms in GSLIB without an analogue within the R
packages, and there are some implementations in R packages without
analogue in GSLIB.

E.g. some examples for the former are given by some variograms estimators,
p-Field, sasim, sisim, gtsim among others.
R is a language and therefore you can aways expand what is available with
some programming.
You can have similar versions in R for those GSLIB specific programs but
may require a bit of programming.



Paulo Justiniano Ribeiro Jr
LEG (Laboratório de Estatística e Geoinformação)
Departamento de Estatística
Universidade Federal do Paraná
Caixa Postal 19.081
CEP 81.531-990
Curitiba, PR  -  Brasil
Tel: (+55) 41 3361 3573
Fax: (+55) 41 3361 3141
e-mail: paulojus AT  ufpr  br
http://www.leg.ufpr.br/~paulojus

On Fri, 16 Feb 2007, 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
>
>
>
> ------------------------------------------------------------------------
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> ir. Thierry Onkelinx
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>
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