Mapping Averaged Pairwise Information (MAPI) is an exploratory method providing graphical representations summarizing the spatial variation of pairwise metrics (eg. distance, similarity coefficient, ...) computed between georeferenced samples.
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1.0.1 by Sylvain Piry, 4 months ago
https://www1.montpellier.inra.fr/CBGP/software/MAPI/
Browse source code at https://github.com/cran/mapi
Authors: Sylvain Piry [aut, cre] , Thomas Campolunghi [aut] , Florent Cestier [aut] , Karine Berthier [aut]
Documentation: PDF Manual
GPL-3 license
Imports Rcpp, data.table, sf, parallel, pbapply
Suggests ggplot2, grDevices, latticeExtra, sp, progress
Linking to Rcpp
See at CRAN