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 results |