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mapping introduction

On Saturday 24 November 2007 02:04:17 pm Tom Sgouros wrote:
Hi Tom, sorry to hear that you haven't discovered what you were looking for 
yet. Here are some comments / suggestions.
R is one of those applications which takes some time to get into. I have been 
a graduate student for a couple years now, and it took three attempts to get 
over the initial "activation energy" required for me to feel comfortable with 
R. That said, persistence was really the key factor in getting there.
Now that you are familiar with working in R, it might be a good idea to become 
familiar with basic GIS concepts. There are a number of open source tools 
which can be used for GIS work, and quite a large community in the form of 
mailing lists / IRC channels. There are a number of books which should be 
coming out in the next couple of months which cover the wide range of open 
source GIS software.
Most of what I have learned about spatial statistics in R has been from a 
collection of books on R, R newsletter articles, and misc. online tutorials. 
Here is a link to some tutorials which illustrate using GRASS and R:

http://casoilresource.lawr.ucdavis.edu/drupal/node/438
Since *most* R operations occur in memory, GIS operations on large datasets 
are best done in a dedicated GIS app like GRASS. For most of my work GRASS, 
GMT, PostGIS, R, and Mapserver are a tough combination to beat.
See above suggestions. There should be two books out soon which are dedicated 
to opensource GIS applications- I would keep an eye out for these.

Cheers,

Dylan