Try r-sig-geo

Look at spdep, geoR, splancs and sp packages for spatial autocorrelation.

 Also look at
http://cran.r-project.org/web/views/Spatial.html

On Mon, Aug 2, 2010 at 3:40 AM, nuncio m <nuncio.m@gmail.com> wrote:

> Hi list,
>          I am trying to fit arima model for a grid of 360x161x338 points,
> where 360x161 is the spatial dimension and 338 is the number of time steps
> I
> have, which is seasonal.  For this purpose I used the auto.arima function
> in
> forecast package. After fitting residuals at each grid in space, the auto
> correlations are still significant ( but < 0.2). This make me think that
> the
> data could be spatially correlated as well. In such case is it necesary to
> remove spatial autocorelations before fitting models in time and  are there
> some methods available in R to remove the spatial autocorrelations.
> Thanks
> nuncio
>
> --
> Nuncio.M
> Research Scientist
> National Center for Antarctic and Ocean research
> Head land Sada
> Vasco da Gamma
> Goa-403804
>
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>
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