I am just getting started using R for spatial analysis. I am long-time
user of basic statistics through ESRI products, some SPSS, and a few
other code snippets here and there. However, I love what I see in R so
far. And there's a growing attraction to R in my organization, for geo
and non-geo purposes. I'm also looking into using R through some of the
GIS software I'm more familiar with, like Quantum GIS, GRASS, and SAGA.
I just downloaded R 2.7.2 and getting the basics going there. For
spatial analysis, which packages do I start with? Looking through the
list at http://lib.stat.cmu.edu/R/CRAN/ and reading
http://www.sal.uiuc.edu/tools/tools-sum/rgeo/r-spatial-projects, there
are so many. And my gut feeling tells me that some functions in these
packages are duplicated in others. Maybe some packages are obsolete now
with support pushed toward a newer, richer package.
The analysis I'll be doing are relatively common techniques. Things
like: interpolations/kriging, contour and DEM creation from points,
hillshade/aspect creation, spatial autocorrelation, regression, PCA,
cluster/hot-spot analysis, plotting/mapping, and basic grid algebra as
well. I'm sure I'll get into more as I work through. Which packages do
you recommend I start with?
- John
****************************************
John Callahan
Geospatial Application Developer
Delaware Geological Survey
University of Delaware
227 Academy St, Newark DE 19716-7501
Tel: (302) 831-3584
Email: [EMAIL PROTECTED]
http://www.dgs.udel.edu
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