Analyse species-habitat associations in R. Therefore, information about the location of the species (as a point pattern) is needed together with environmental conditions (as a categorical raster). To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Version: 2.3.1 Depends: R (≥ 3.1.0) Imports: classInt, graphics, grDevices, methods, spatstat.explore, spatstat.geom, spatstat.model, spatstat.random, stats, terra, utils Suggests: covr, dplyr, knitr, rmarkdown, spatstat (≥ 2.0-0), testthat (≥ 3.0.0) Published: 2025-01-10 DOI: 10.32614/CRAN.package.shar Author: Maximilian H.K. Hesselbarth [aut, cre], Marco Sciaini [aut], Chris Wudel [aut], Zeke Marshall [ctb], Thomas Etherington [ctb], Janosch Heinermann [ctb] Maintainer: Maximilian H.K. Hesselbarth <mhk.hesselbarth at gmail.com> BugReports: https://github.com/r-spatialecology/shar/issues/ License: GPL (≥ 3) URL: https://r-spatialecology.github.io/shar/ NeedsCompilation: no Citation: shar citation info Materials: NEWS CRAN checks: shar resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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