[R] Spatial cluster analysis of continous outcome variable

[Mike Marchywka]

Did you post your data or hypothetical data?
Usually that helps make your problem more clear and more interesting
( likely to get a useful response to your post).



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From: tintin_jb at hotmail.com
To: r-help at r-project.org
Date: Thu, 17 Mar 2011 17:38:14 +0100
Subject: [R] Spatial cluster analysis of continous outcome variable



Dear R Users, R Core
Team,
I have a two dimensional space where I measure a numerical value in two situations at different points. I have measured the change and I would like to test if there are areas in this 2D-space where there is a different amount of change (no change, increase, decrease). I don´t know if it´s better to analyse the data just with the coordinates or if its better to group them in "pixels" (and obtain the mean value for each pixel) and then run the cluster analysis. I would like to know if there is a package/function that allows me to do these calculations.I would also like to know if it could be done in a 3D space (I have collapsed the data to 2D because I don´t have many points.
Thanks in advance





J Toledo
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