Package: intSDM 2.1.0.9000

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]

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intSDM.pdf |intSDM.html
intSDM/json (API)
NEWS

# Install 'intSDM' in R:
install.packages('intSDM', repos = c('https://philipmostert.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/philipmostert/intsdm/issues

On CRAN:

6.47 score 5 stars 14 scripts 277 downloads 4 exports 89 dependencies

Last updated 23 hours agofrom:cf2988f08c. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winERRORNov 22 2024
R-4.5-linuxERRORNov 22 2024
R-4.4-winERRORNov 22 2024
R-4.4-macERRORNov 22 2024
R-4.3-winERRORNov 22 2024
R-4.3-macERRORNov 22 2024

Exports:obtainRichnesssdmWorkflowspecies_modelstartWorkflow

Dependencies:askpassbase64encblockCVclassclassIntclicolorspacecountrycodecpp11crulcurldata.tableDBIdplyre1071fansifarverfmesherFNNgenericsgeodatageojsonsfgeometriesggplot2giscoRgluegtablehttpcodehttrinlabruisobandjsonifyjsonliteKernSmoothlabelinglatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmgcvmimemunsellnlmeoaiopensslpillarpkgconfigplyrPointedSDMsproxypurrrR.devicesR.methodsS3R.ooR.utilsR6rapidjsonrrappdirsrasterRColorBrewerRcpprgbifrlangs2scalessfsfheadersspstringistringrsysterratibbletidyrtidyselecttidyterratriebeardunitsurltoolsutf8vctrsviridisLitewhiskerwithrwkxml2

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

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Building a worklfow for Warblers acorss Pennsylvania state

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Species richness example

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