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.


Reference manual

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1.0.1 by Paul Galpern, 2 years ago

Browse source code at

Authors: Pedro Peres-Neto , Paul Galpern

Documentation:   PDF Manual  

GPL (>= 2) license

Imports ade4, raster, gdistance, vegan

Suggests adegenet, geosphere, knitr

See at CRAN