[R-sig-Geo] Comprehensive R package for Spatial Stats

[Roger Bivand]

On Sat, 11 Feb 2012, Tom Gottfried wrote:

> 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
>> 
>> ____________
>> Rich Heimann
>> @rheimann
>> 
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-- 
Roger Bivand
Department of Economics, NHH Norwegian School of Economics,
Helleveien 30, N-5045 Bergen, Norway.
voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: Roger.Bivand at nhh.no