R help - Aug 2010 - removing spatial auto correlation

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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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
>
>        [[alternative HTML version deleted]]
>
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> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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