Package: intSDM 2.1.1.9000

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]

intSDM_2.1.1.9000.tar.gz
intSDM_2.1.1.9000.zip(r-4.7)intSDM_2.1.1.9000.zip(r-4.6)intSDM_2.1.1.9000.zip(r-4.5)
intSDM_2.1.1.9000.tgz(r-4.6-any)intSDM_2.1.1.9000.tgz(r-4.5-any)
intSDM_2.1.1.9000.tar.gz(r-4.7-any)intSDM_2.1.1.9000.tar.gz(r-4.6-any)
intSDM_2.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
intSDM/json (API)

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

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

On CRAN:

Conda:

5.77 score 7 stars 28 scripts 545 downloads 5 exports 109 dependencies

Last updated from:c10b5d439b. Checks:2 NOTE, 6 OK, 1 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE324
source / vignettesOK243
linux-release-x86_64NOTE266
macos-release-arm64OK207
macos-oldrel-arm64ERROR282
windows-develOK207
windows-releaseOK202
windows-oldrelOK275
wasm-releaseOK168

Exports:getPriorsobtainRichnesssdmWorkflowspecies_modelstartWorkflow

Dependencies:abindaskpassautomapbase64encblockCVbriocallrclassclassIntclicountrycodecowplotcpp11crayoncrulcurldata.tableDBIdescdiffobjdplyre1071evaluatefarverfmesherFNNfsgenericsgeodataggplot2giscoRgluegstatgtablehttpcodehttrhttr2inlabruintervalsisobandjsonliteKernSmoothlabelinglatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmimeoaiopensslotelpillarpkgbuildpkgconfigpkgloadplyrPointedSDMspraiseprocessxproxypspurrrR.devicesR.methodsS3R.ooR.utilsR6rappdirsrasterRColorBrewerRcppreshapergbifrlangrprojroots2S7scalessfsftimespspacetimesplancsstarsstringistringrsysterratestthattibbletidyrtidyselecttidyterratriebeardunitsurltoolsutf8vctrsviridisLitewaldowhiskerwithrwkxml2xtszoo

intSDM: R package to produce species distribution models in a reproducible framework
Introduction | Workflow setup | Select area | Adding occurrence data | Adding covariate data | Metadata | Creating an fm_mesh_2d object | Specify priors | Bias field | Model options | Running workflow | Maps

Last update: 2026-06-10
Started: 2023-06-06

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Species richness example

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