Comprehensive R package for Spatial Stats

have a look on CRAN. At the bottom of the "Task Views" page is a description 
how to install complete views. Doing that with task view "Spatial" might 
yield what you are looking for.
Exactly. If you install ctv first:

install.packages("ctv")
library(ctv)

you use:

install.views("Spatial", coreOnly=TRUE)

or:

download.views("Spatial", coreOnly=TRUE, destdir="spatial_tv")

or similar. These will also examine package dependencies on the download 
system, so for portability - to include the full dependency tree, run on a 
fresh installation of R. If coreOnly=FALSE, you pull in everything in the 
task view and all their dependencies, which can be quite a lot.

If there are suggestions for moving packages into/out of core, I'd be 
interested to hear.

Of course, OSX users should setRepositories(ind=1:2) before 
install.views() to pick up rgdal and rgeos from CRAN extras.

Unix/Linux users will need to provide the external dependencies to 
packages failing to install with unsatisfied dependencies.

Roger
regards,
Tom

Am 11.02.2012 05:21, schrieb Rich Heimann:
Hello all,

I am working in a disconnected environment and will be using R to do much
on my spatial analysis. I wondered if there was one complete download
encompassing all of the R packages for spatial stats. I am primarily
interested in mapping, lattice/areal data, and some point process but will
also take geostatistical packages if they are included as well. Does such a
package exist?

Regards,
Rich

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Roger Bivand
Department of Economics, NHH Norwegian School of Economics,
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Comprehensive R package for Spatial Stats

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