[adegenet-forum] SPCA with cost distances as matrix of spatial weights

[Nevil Amos]

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.

cheers

Nevil Amos

MERG
Monash University
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