[R-sig-Geo] Continuous geostatistical approach to regression

[Paulo Justiniano Ribeiro Jr]

Hi Terry

The function likfit() in the package geoR allows you to do that.
You can specifiy a usual regression model in the argument "trend"
and the tyope of covariance structure.

For an example see the data set "hoef"

require(geoR)
data(hoef)
?hoef

best
P.J.



On Mon, 4 Sep 2006, Griffin, Terry W wrote:

> I want to perform inferential statistical regressions of spatial data
> and compare a few methods.  I have been working with the techniques to
> perform the discrete approach to spatial data, i.e. techniques in spdep,
> spatial econometric, etc., all along and want to broaden the available
> tools.  I would like to perform the continuous approach in addition to
> the discrete approach, i.e. geostatistical, direct representation,
> variogram, Cressie's REML, etc. in the same datasets.  For instance, I
> would like to regress dependent variables on a set of explanatory
> variables where OLS residuals were spatially autocorrelated.  From the
> regression, I wish to determine the effect of small changes of each
> explanatory variable on the dependent variable.
>
>
>
> Any suggestions are appreciated.
>
>
>
> Thank you,
>
>
> Terry
>
>
>
>
>
> Terry W. Griffin
>
> Graduate Research Assistant
>
> Agricultural Economics
>
> Purdue University
>
> 403 W State St
>
> West Lafayette, IN 47907
>
> 765-494-4257
>
> http://web.ics.purdue.edu/~twgriffi/
> <http://web.ics.purdue.edu/~twgriffi/>
>
>
>
>
>
>
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