shar: Species-Habitat Associations

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: 1.3
Depends: R (≥ 3.1.0)
Imports: classInt, graphics, grDevices, methods, raster, spatstat.core, spatstat.geom, stats, utils
Suggests: covr, dplyr, future, future.apply, knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2021-12-06
Author: Maximillian H.K. Hesselbarth ORCID iD [aut, cre], Marco Sciaini ORCID iD [aut]
Maintainer: Maximillian 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

Documentation:

Reference manual: shar.pdf
Vignettes: Get started

Downloads:

Package source: shar_1.3.tar.gz
Windows binaries: r-devel: shar_1.2.1.zip, r-devel-UCRT: shar_1.2.1.zip, r-release: shar_1.2.1.zip, r-oldrel: shar_1.2.1.zip
macOS binaries: r-release (arm64): shar_1.2.1.tgz, r-release (x86_64): shar_1.2.1.tgz, r-oldrel: shar_1.2.1.tgz
Old sources: shar archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=shar to link to this page.