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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: |
2.3 |
| 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: |
2024-02-14 |
| 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 |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=shar
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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