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
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011 93 79 561 1765 [Roshan]
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Roger Bivand
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