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:
divvy_1.0.0.9000.tar.gz
divvy_1.0.0.9000.zip(r-4.5)divvy_1.0.0.9000.zip(r-4.4)divvy_1.0.0.9000.zip(r-4.3)
divvy_1.0.0.9000.tgz(r-4.4-any)divvy_1.0.0.9000.tgz(r-4.3-any)
divvy_1.0.0.9000.tar.gz(r-4.5-noble)divvy_1.0.0.9000.tar.gz(r-4.4-noble)
divvy_1.0.0.9000.tgz(r-4.4-emscripten)divvy_1.0.0.9000.tgz(r-4.3-emscripten)
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
Last updated 1 years agofrom:69a3a5bcb2. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | NOTE | Nov 20 2024 |
R-4.4-mac | NOTE | Nov 20 2024 |
R-4.3-win | NOTE | Nov 20 2024 |
R-4.3-mac | NOTE | Nov 20 2024 |
Exports:banditclassRastclustrcookiesrangeSizesdSumryuniqify
Dependencies:classclassIntcliclustercolorspaceDBIe1071fansifarverggplot2gluegtableiNEXTisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepermutepillarpkgconfigplyrproxyR6rbibutilsRColorBrewerRcppRdpackreshape2rlangs2scalessfstringistringrterratibbleunitsutf8vctrsveganviridisLitewithrwk
Environmental and geographic standardisation case study
Rendered fromhabitat-rangesize-case-study.Rmd
usingknitr::rmarkdown
on Nov 20 2024.Last update: 2023-10-24
Started: 2023-07-14
Spatial subsampling tutorial
Rendered fromsubsampling-vignette.Rmd
usingknitr::rmarkdown
on Nov 20 2024.Last update: 2023-10-23
Started: 2022-04-21