Hi Candan,
As a more general remark, there is a mailing list for spatial data,
including interpolation, r-sig-geo. This question would be more
appropriate there. I gave some answers in-line below from what I could
come up with. Reposting on r-sig-geo would be a good idea to get more
response.
cheers,
Paul
Candan Soykan wrote:
Hello,
I'm interested in doing Bayesian kriging using R. I see that the
package geoR has a function that will allow one to do this
(krige.bayes). However, my data are not in the form of points, but
rather they are blocks that represent spatial averages (i.e., the
number of fishing hooks per month in a given lat x long square). I am
therefore interested in treating the data as spatial blocks, rather
than points. I see that package gstat has a function that will allow
one to do block kriging (krige). However, I cannot find a function
that will allow me to do both, Bayesian and block kriging at the same
time. My questions are:
1) Can the function "krige.bayes" be made to accommodate data in areal
form (rather than point data)? or
possibly, I've never used krige.bayes
2) Does the function "krige" allow for Bayesian inference (i.e.,
priors, posteriors)? or
to my knowledge, no
3) Is there another package that can do both? or
I think not
4) Is there a method for combining functions to do what I would like
to do?
write a new function that combines both things you want (you question is
a bit vague)
A response to any and/or all of these questions would be greatly
appreciated. Thank you in advance.
Candan Soykan
candan.soy...@noaa.gov
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