Build graphs for landscape genetics analysis. This set of functions can be used to import and convert spatial and genetic data initially in different formats, import landscape graphs created with 'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of isolation by distance relationships in order to choose how to build genetic graphs, create graphs with a large range of pruning methods, weight their links with several genetic distances, plot and analyse graphs, compare them with other graphs. It uses functions from other packages such as 'adegenet' (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et Nepusz, 2006) <https://igraph.org/>. It also implements methods commonly used in landscape genetics to create graphs, described by Dyer et Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et al., 2015) <doi:10.1038/hdy.2014.62>.
Version: 1.8.0 Depends: R (≥ 3.1.0) Imports: adegenet, ggplot2, stringr, igraph, stats, spatstat.geom, spatstat.linnet, Matrix, vegan, utils, methods, pegas, MASS, tidyr, sp, sf, hierfstat, rappdirs, gdistance, raster, foreign, ecodist, Rdpack Suggests: knitr, rmarkdown Published: 2023-01-30 DOI: 10.32614/CRAN.package.graph4lg Author: Paul Savary [aut, cre], Gilles Vuidel [ctb], Tyler Rudolph [ctb], Alexandrine Daniel [ctb] Maintainer: Paul Savary <psavary at protonmail.com> License: GPL-2 NeedsCompilation: no Citation: graph4lg citation info Materials: README NEWS CRAN checks: graph4lg results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=graph4lg to link to this page.
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