[adegenet-forum] SPCA with cost distances as matrix of spatial weights
nevil.amos at gmail.com
Fri Jun 22 17:23:31 CEST 2012
I have run a series of spca with square matrix of 1/(resistance+1) as the spatial weight for a range of alternative landscape resistance matrices. (pdf output attached, model names are in the second line of the plot of Global.rtest). GEOG represents 1/(geographic distance +1). Am I correct in interpreting those showing the greatest positive spatial autocorrelation in lambda 1 as the "best landscape model" . Thus if any of the models with greater s.a. for lambda 1 than the GEOG model are explaining more than geographic distance alone?( in the attached case none have a greater s.a than GEOG.
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