Package: intSDM 2.1.0

Philip Mostert

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:Philip Mostert [aut, cre], Angeline Bruls [aut], Ragnhild {Bjørkås} [aut], Wouter Koch [aut], Ellen Martin [aut]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.56 score 12 scripts 244 downloads 3 exports 88 dependencies

Last updated 3 months agofrom:6e4c5540cd. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-linuxOKOct 21 2024

Exports:sdmWorkflowspecies_modelstartWorkflow

Dependencies:askpassbase64encblockCVclassclassIntclicolorspacecountrycodecpp11crulcurldata.tableDBIdplyre1071fansifarverfmeshergenericsgeodatageojsonsfgeometriesggplot2giscoRgluegtablehttpcodehttrinlabruisobandjsonifyjsonliteKernSmoothlabelinglatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmgcvmimemunsellnlmeoaiopensslpillarpkgconfigplyrPointedSDMsproxypurrrR.devicesR.methodsS3R.ooR.utilsR6rapidjsonrrappdirsrasterRColorBrewerRcpprgbifrlangs2scalessfsfheadersspstringistringrsysterratibbletidyrtidyselecttidyterratriebeardunitsurltoolsutf8vctrsviridisLitewhiskerwithrwkxml2

intSDM: R package to produce species distribution models in a reproducible framework

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