Analyse species-habitat associations in R. Therefore, information about the location of the species is needed and about the environmental conditions. 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: | 1.1 |
Depends: | R (≥ 3.1) |
Imports: | classInt, graphics, grDevices, methods, raster, spatstat, stats, utils, Rcpp |
LinkingTo: | Rcpp |
Suggests: | covr, dplyr, testthat (≥ 2.1.0), knitr, rmarkdown |
Published: | 2019-11-15 |
Author: | Maximillian H.K. Hesselbarth [aut, cre], Marco Sciaini [aut] |
Maintainer: | Maximillian H.K. Hesselbarth <maximilian.hesselbarth at uni-goettingen.de> |
BugReports: | https://github.com/r-spatialecology/shar/issues |
License: | GPL-3 |
URL: | https://r-spatialecology.github.io/shar |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | shar results |
Reference manual: | shar.pdf |
Vignettes: |
Get started |
Package source: | shar_1.1.tar.gz |
Windows binaries: | r-devel: shar_1.1.zip, r-release: shar_1.1.zip, r-oldrel: shar_1.1.zip |
macOS binaries: | r-release: shar_1.1.tgz, r-oldrel: shar_1.1.tgz |
Old sources: | shar archive |
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