divvy: Spatial Subsampling of Biodiversity Occurrence Data

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 ORCID iD [aut, cre, cph]
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-prerel: divvy_1.0.0.zip, r-release: divvy_1.0.0.zip, r-oldrel: divvy_1.0.0.zip
macOS binaries: r-prerel (arm64): divvy_1.0.0.tgz, r-release (arm64): divvy_1.0.0.tgz, r-oldrel (arm64): divvy_1.0.0.tgz, r-prerel (x86_64): divvy_1.0.0.tgz, r-release (x86_64): divvy_1.0.0.tgz


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