Package: intSDM 2.1.1

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.tar.gz
intSDM_2.1.1.zip(r-4.7)intSDM_2.1.1.zip(r-4.6)intSDM_2.1.1.zip(r-4.5)
intSDM_2.1.1.tgz(r-4.6-any)intSDM_2.1.1.tgz(r-4.5-any)
intSDM_2.1.1.tar.gz(r-4.7-any)intSDM_2.1.1.tar.gz(r-4.6-any)
intSDM_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
intSDM/json (API)
NEWS

# 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:

5.42 score 7 stars 25 scripts 511 downloads 4 exports 108 dependencies

Last updated from:ee6bed0f22. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK333
source / vignettesOK259
linux-release-x86_64OK289
macos-release-arm64OK221
macos-oldrel-arm64OK277
windows-develOK242
windows-releaseOK236
windows-oldrelOK256
wasm-releaseOK168

Exports:obtainRichnesssdmWorkflowspecies_modelstartWorkflow

Dependencies:abindaskpassautomapbase64encblockCVbriocallrclassclassIntclicountrycodecowplotcpp11crayoncrulcurldata.tableDBIdescdiffobjdplyre1071evaluatefarverfmesherFNNfsgenericsgeodataggplot2giscoRgluegstatgtablehttpcodehttrhttr2inlabruintervalsisobandjsonliteKernSmoothlabelinglatticelazyevallifecyclemagrittrMASSMatrixMatrixModelsmimeoaiopensslpillarpkgbuildpkgconfigpkgloadplyrPointedSDMspraiseprocessxproxypspurrrR.devicesR.methodsS3R.ooR.utilsR6rappdirsrasterRColorBrewerRcppreshapergbifrlangrprojroots2S7scalessfsftimespspacetimesplancsstarsstringistringrsysterratestthattibbletidyrtidyselecttidyterratriebeardunitsurltoolsutf8vctrsviridisLitewaldowhiskerwithrwkxml2xtszoo

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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