Introduction | Occurrence points | Background points | Predictors | Model tuning | Prediction in the Alps | Conclusion | Appendix: A runnable mini-example | References
Package: envar 0.1.1
Andrea Simoncini
envar: Download and Process Environmental Variables
Provides a unified interface to download, harmonise and extract a wide range of environmental and socio-economic variables from established open data web services (such as 'WorldClim' <https://www.worldclim.org/>, 'CHELSA' <https://chelsa-climate.org/> and 'Bio-ORACLE' <https://www.bio-oracle.org/>, among others) for use in macroecology and biogeography. The package handles spatial subsetting to a study area, reprojection to a common coordinate reference system, and extraction of values at sampling points, so that predictors from heterogeneous sources can be assembled within a single reproducible workflow. Helper functions for collinearity checking and variable exploration are also included.
Authors:
envar_0.1.1.tar.gz
envar_0.1.1.zip(r-4.7-any)envar_0.1.1.zip(r-4.6-any)envar_0.1.1.zip(r-4.5-any)
envar_0.1.1.tgz(r-4.6-any)envar_0.1.1.tgz(r-4.5-any)
envar_0.1.1.tar.gz(r-4.7-any)envar_0.1.1.tar.gz(r-4.6-any)
envar_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
envar/json (API)
| # Install 'envar' in R: |
| install.packages('envar', repos = c('https://animalbiodiversitylab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/animalbiodiversitylab/envar/issues
Pkgdown/docs site:https://animalbiodiversitylab.github.io
biogeographyconservationdistribution-modellingecologyenvironmentmacroecologyprioritizationsdmvariablevariable-selection
Last updated from:989ff1df52. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 257 | ||
| source / vignettes | OK | 295 | ||
| linux-release | OK | 257 | ||
| macos-release | OK | 283 | ||
| macos-oldrel | OK | 235 | ||
| windows-devel | OK | 230 | ||
| windows-release | OK | 198 | ||
| windows-oldrel | OK | 238 | ||
| wasm-release | OK | 136 |
Exports:%>%accessibilityariditybiooraclechelsaclear_cacheclimatezonescloudcovercorr_checkearthenvlandcoverextr_checkfreshwatergcamlandcovergdppastgeososlandcoverhabitatheterogeneityhybridlandcovermelcmetadatapar_setpftlandcoverpopulationprotectionroadssoilsoilclimatespectretopographyworldclim
Dependencies:abindalphahullaskpassclassclassIntclicorrplotcpp11curlDBIdeldirdigestdplyre1071farverfsgenericsggplot2gluegtablehttrinterpisobandjsonliteKernSmoothlabelinglatticelifecyclemagrittrMatrixmimeopensslpbapplypillarpkgconfigpolyclipproxyR.methodsS3R.ooR.utilsR6rangeBuilderrasterRColorBrewerRcppRcppEigenrlangrnaturalearths2S7scalessfsgeostatspspatstat.dataspatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssplancsstringisystensorterratibbletidyselectunitsusdmutf8vctrsviridisLitewithrwk
Species distribution modelling
Last update: 2026-08-20
Started: 2025-12-17
Package overview
1. Introduction | 2. Load the package | 3. Set study area | 3.1. Global data | 3.1.1. Single layer | 3.1.2. Multiple layers with different extents | 3.2. Country/continent | 3.2.1. Country | 3.2.2. Continent | 3.2.3. Set the scale | 3.3. Ecological boundary | 3.3.1. Ecoregions | 3.3.2. Zoogeographic regions | 3.3.3. Mountain regions | 3.3.4. CMEC mountain regions | 3.3.5. Glacier regions | 3.3.6. Freshwater ecoregions | 3.3.7. Marine regions | 3.4. Custom shapefile | 3.4.1. Points | 3.4.2. Polygon | 3.5. Data frame of points | 3.6. Buffer | 3.6.1. Apply a buffer to a shape | 3.6.2. Apply a buffer when using points | 3.7. Further options | 3.7.1. Land mask | 3.7.2. Species range | 4. Project to another reference system | 5. Aggregate to a different resolution | 6. Correlation check | 6.1. Add a correlation check when retrieving rasters | 6.2. Add a correlation check when using points | 7. Extrapolation check | 7.1. With rasters | 7.2. With points | 8. Set NAs | 9. Save results | 9.1. Save results as raster | 9.2. Save results as table | 10. Conclusion | 11. Appendix: A runnable mini-example | 12. References
Last update: 2026-08-05
Started: 2025-11-26
Variables
Introduction | Load package | Climate | CHELSA | WorldClim | Climate zones | Cloud cover | Aridity | Land cover | EarthEnv land cover | Macroecological Land Cover | Hybrid land cover | GeoSOS land cover | PFT land cover | GCAM land cover | Landscape heterogeneity | Habitats | Soil characteristics | Harmonized World Soil Database | Soil climate | Topography | Freshwater environments | Marine environments | Human impact | SPECTRE | Accessibility | GDP past | Population | Roads | Protected areas | IUCN protected areas | Conclusion | Appendix: A runnable mini-example | References
Last update: 2026-08-05
Started: 2025-12-17
Get started
Package aims | First use: installation | Load the library | Full working example | Output overview | Conclusion | Appendix: A runnable mini-example | References
Last update: 2026-07-22
Started: 2025-11-26
