Hi Robert,
A package I use for spatial statistics is gstat. It supports a method
called co-kriging that seems to fit your needs. To get a good overview
of the spatial capabilities of R a good place to start is the Spatial
Task View (http://cran.r-project.org/web/views/Spatial.html). If you
have more geo type questions the r-sig-geo list is a better forum
(https://www.stat.math.ethz.ch/mailman/listinfo/R-SIG-Geo/).
cheers
Paul
[EMAIL PROTECTED] wrote:
Hei,
I have two spatial datasets Sa and Sb, both with lat-lon coordinates and
from same geographic area, but from different localities within the area
(independent samples). Sa is biotoc data, Sb is some environmental
parameter (fertility). I 'know' that Sb affects Sa, but wonder on which
scale. I tried different interpolations by creating different grids of Sb
(e.g. 20x20 and 100x100 points using 'interp' ...) and found that a more
coarse grid did a better job in predicting Sa than a high resolution grid.
However, I wonder if there aren't more elegant ways, e.g. using kriging.
Just to avoid misunderstandings: I do not just want to get a spatial grid
of Sa and Sb, but I want to find on which Scale Sb affects Sa.
cheers,
Robert,
Robert Ptacnik
Norwegian Institute for Water Research (NIVA)
Gaustadalléen 21
NO-0349 Oslo
FON +47 982 277 81
FAX +47 221 852 00
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nyhetsbrev på www.niva.no).
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Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
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