Package: intSDM 2.1.0
intSDM: Reproducible Integrated Species Distribution Models Across Norway using 'INLA'
Integration of disparate datasets is needed in order to make efficient use of all available data and thereby address the issues currently threatening biodiversity. Data integration is a powerful modeling framework which allows us to combine these datasets together into a single model, yet retain the strengths of each individual dataset. We therefore introduce the package, 'intSDM': an R package designed to help ecologists develop a reproducible workflow of integrated species distribution models, using data both provided from the user as well as data obtained freely online. An introduction to data integration methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.
Authors:
intSDM_2.1.0.tar.gz
intSDM_2.1.0.tar.gz(r-4.5-noble)intSDM_2.1.0.tar.gz(r-4.4-noble)
intSDM_2.1.0.tgz(r-4.4-emscripten)intSDM_2.1.0.tgz(r-4.3-emscripten)
intSDM.pdf |intSDM.html✨
intSDM/json (API)
NEWS
# Install 'intSDM' in R: |
install.packages('intSDM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:6e4c5540cd. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 21 2024 |
R-4.5-linux | OK | Oct 21 2024 |
Exports:sdmWorkflowspecies_modelstartWorkflow
Dependencies:askpassbase64encblockCVclassclassIntclicolorspacecountrycodecpp11crulcurldata.tableDBIdplyre1071fansifarverfmeshergenericsgeodatageojsonsfgeometriesggplot2giscoRgluegtablehttpcodehttrinlabruisobandjsonifyjsonliteKernSmoothlabelinglatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmgcvmimemunsellnlmeoaiopensslpillarpkgconfigplyrPointedSDMsproxypurrrR.devicesR.methodsS3R.ooR.utilsR6rapidjsonrrappdirsrasterRColorBrewerRcpprgbifrlangs2scalessfsfheadersspstringistringrsysterratibbletidyrtidyselecttidyterratriebeardunitsurltoolsutf8vctrsviridisLitewhiskerwithrwkxml2
intSDM: R package to produce species distribution models in a reproducible framework
Rendered fromRedList.Rmd
usingknitr::rmarkdown
on Oct 21 2024.Last update: 2024-08-22
Started: 2023-08-17
Building a worklfow for Warblers acorss Pennsylvania state
Rendered fromPennsylvaniaWarbler.Rmd
usingknitr::rmarkdown
on Oct 21 2024.Last update: 2024-08-22
Started: 2023-10-11
Species richness example
Rendered fromRichness.Rmd
usingknitr::rmarkdown
on Oct 21 2024.Last update: 2024-08-22
Started: 2024-08-22