Package: divvy 1.0.0.9000
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>.
Authors:
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divvy.pdf |divvy.html✨
divvy/json (API)
NEWS
| # Install 'divvy' in R: |
| install.packages('divvy', repos = c('https://gawainantell.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gawainantell/divvy/issues
Pkgdown site:https://gawainantell.github.io
Last updated 1 years agofrom:69a3a5bcb2. Checks:9 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | FAIL | Mar 27 2025 |
| R-4.5-win | ERROR | Mar 27 2025 |
| R-4.5-mac | ERROR | Mar 27 2025 |
| R-4.5-linux | ERROR | Mar 27 2025 |
| R-4.4-win | ERROR | Mar 27 2025 |
| R-4.4-mac | ERROR | Mar 27 2025 |
| R-4.4-linux | ERROR | Mar 27 2025 |
| R-4.3-win | ERROR | Mar 27 2025 |
| R-4.3-mac | ERROR | Mar 27 2025 |
Exports:banditclassRastclustrcookiesrangeSizesdSumryuniqify
Dependencies:classclassIntcliclustercolorspaceDBIe1071fansifarverggplot2gluegtableiNEXTisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepermutepillarpkgconfigplyrproxyR6rbibutilsRColorBrewerRcppRdpackreshape2rlangs2scalessfstringistringrterratibbleunitsutf8vctrsveganviridisLitewithrwk
