Interpolated map using pca axes

Question

I have done between group pca in R. I want to make an interpolated map using the eigen values of the first three pc axes.

I want to produce a map using each of the three pc axes and finally combine the three maps to produce a final interpolated map.

This is too general a question to give much useful advice. See perhaps the guerry r package and associated vignette for some examples. Also see this answer by whuber to a different question (that gives extension r tutorials of PCA - albeit geographically weighted PCA). — Andy W, Jan 14 '13 at 18:20
Most of this sounds routine when you break it into its component steps: your PCA produces an ordered triple of eigenvalues at a discrete set of sample points. You will interpolate them (separately or with a vector procedure such as cokriging) onto three grids. What is unclear is how you propose to "combine" those three grids. Could you perhaps indicate the purpose of this exercise? — whuber, Jan 14 '13 at 19:01

score 2 · Answer 1 · answered Jan 15 '13 at 12:39

2

I think that what you are looking for is the adegenet-spca package, that lets you interpolate principal components:

answered Jan 15 '13 at 12:39

Gago-Silva

1 Answers1