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