Spatial Pattern Detection in Genetic Distance Data Using Moran's Eigenvector Maps

Can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation. Has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.


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install.packages("memgene")

1.0.1 by Paul Galpern, 6 months ago


Browse source code at https://github.com/cran/memgene


Authors: Pedro Peres-Neto , Paul Galpern


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ade4, raster, gdistance, vegan

Suggests adegenet, geosphere, knitr


See at CRAN