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: |
1.3.2 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
classInt, graphics, grDevices, methods, raster, spatstat.core, spatstat.geom, spatstat.random, stats, utils |
| Suggests: |
covr, dplyr, future, future.apply, knitr, rmarkdown, spatstat (≥ 2.0.0), testthat (≥ 2.1.0) |
| Published: |
2022-03-08 |
| Author: |
Maximillian H.K. Hesselbarth
 [aut, cre],
Marco Sciaini
[aut],
Zeke Marshall
[ctb],
Thomas Etherington
[ctb] |
| 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 |