[R-sig-Geo] Factor Analysis using R and grass

[Brian Cooper]

Thanks for the response; the data sets are centroid based with 20 to 30
variables per centroid. What has been suggested will work with rasters but
not with vectors. What I need to know it is possible to conduct a PCA on
vector data sets and store the results as additional variables. I am
interested in the impact of the nearest neighbour on the particular score. I
work with human services planning data and am looking at developing more
effective measures for local area planning. Theoretically speaking a
geo-statistical approach will give a truer result that current aspatial
approaches.

Brian Cooper

-----Original Message-----
From: r-sig-geo-bounces at stat.math.ethz.ch
[mailto:r-sig-geo-bounces at stat.math.ethz.ch] On Behalf Of Brian Cooper
Sent: Thursday, 26 March 2009 12:27 AM
To: r-sig-geo at stat.math.ethz.ch
Subject: [R-sig-Geo] Factor Analysis using R and grass

I am new to both R and Grass. I need to duplicate the Principal Component
Analysis approach used in SPSS with GRASS and R. Is this possible?
 
brian Cooper

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