Package: priorCON 0.1.2
priorCON: Graph Community Detection Methods into Systematic Conservation Planning
An innovative tool-set that incorporates graph community detection methods into systematic conservation planning. It is designed to enhance spatial prioritization by focusing on the protection of areas with high ecological connectivity. Unlike traditional approaches that prioritize individual planning units, 'priorCON' focuses on clusters of features that exhibit strong ecological linkages. The 'priorCON' package is built upon the 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using commercial and open-source exact algorithm solvers that ensure optimal solutions to prioritization problems.
Authors:
priorCON_0.1.2.tar.gz
priorCON_0.1.2.zip(r-4.5)priorCON_0.1.2.zip(r-4.4)priorCON_0.1.2.zip(r-4.3)
priorCON_0.1.2.tgz(r-4.4-any)priorCON_0.1.2.tgz(r-4.3-any)
priorCON_0.1.2.tar.gz(r-4.5-noble)priorCON_0.1.2.tar.gz(r-4.4-noble)
priorCON_0.1.2.tgz(r-4.4-emscripten)priorCON_0.1.2.tgz(r-4.3-emscripten)
priorCON.pdf |priorCON.html✨
priorCON/json (API)
NEWS
| # Install 'priorCON' in R: |
| install.packages('priorCON', repos = c('https://cadam00.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cadam00/priorcon/issues
Last updated 13 days agofrom:8f9c2d2605. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win | OK | Nov 06 2024 |
| R-4.5-linux | OK | Nov 06 2024 |
| R-4.4-win | OK | Nov 06 2024 |
| R-4.4-mac | OK | Nov 06 2024 |
| R-4.3-win | OK | Nov 06 2024 |
| R-4.3-mac | OK | Nov 06 2024 |
Exports:basic_scenarioconnectivity_scenarioget_cost_rasterget_features_rasterget_metricsget_outputspreprocess_graphs
Dependencies:abindapeassertthatbackportsbase64encBHbrainGraphbslibcachemcheckmateclassclassIntclicodetoolscolorspacecpp11crosstalkdata.tableDBIdichromatdigestdoParallele1071evaluateexactextractrfansifarverfastmapfontawesomeforeachfsgeojsonsfgeometriesgluehighrhighshtmltoolshtmlwidgetsigraphiteratorsjquerylibjsonifyjsonliteKernSmoothknitrlabelinglatticelazyevalleafemleafletleaflet.providersleafsynclifecyclelwgeommagrittrMASSMatrixmemoisemimemunsellnlmepermutepillarpkgconfigpngprioritizrproxypurrrR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadillorlangrmarkdowns2sassscalessfsfheadersslamspstarsterratibbletinytextmaptmaptoolsunitsutf8vctrsviridisLitewidgetframewithrwkxfunXMLyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Basic scenario problem | basic_scenario |
| Connectivity scenario problem | connectivity_scenario |
| Cost raster example | get_cost_raster |
| Features raster example | get_features_raster |
| Detect graph communities for each biodiversity feature. | get_metrics |
| Evaluate outputs | get_outputs |
| Read connectivity data from multiple sub-folders. | preprocess_graphs |
