Divide taxonomic occurrence data into geographic regions of fair comparison, with three customisable methods to standardise area and extent. Calculate common biodiversity and range-size metrics on subsampled data. Background theory and practical considerations for the methods are described in Antell and others (2023) <doi:10.31223/X5997Z>.
Version: | 1.0.0 |
Depends: | R (≥ 4.0) |
Imports: | iNEXT (≥ 3.0.0), Rdpack, sf, terra, units, vegan |
Suggests: | knitr, rnaturalearth, rnaturalearthdata, ggplot2, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-10-26 |
Author: | Gawain Antell |
Maintainer: | Gawain Antell <gawainantell at gmail.com> |
BugReports: | https://github.com/GawainAntell/divvy/issues |
License: | GPL (≥ 3) |
URL: | https://gawainantell.github.io/divvy/, https://github.com/GawainAntell/divvy |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | divvy results |
Reference manual: | divvy.pdf |
Vignettes: |
Environmental and geographic standardisation case study Spatial subsampling tutorial |
Package source: | divvy_1.0.0.tar.gz |
Windows binaries: | r-devel: divvy_1.0.0.zip, r-release: divvy_1.0.0.zip, r-oldrel: divvy_1.0.0.zip |
macOS binaries: | r-release (arm64): divvy_1.0.0.tgz, r-oldrel (arm64): divvy_1.0.0.tgz, r-release (x86_64): divvy_1.0.0.tgz, r-oldrel (x86_64): divvy_1.0.0.tgz |
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