Package: webSDM 1.1-5

Giovanni Poggiato

webSDM: Including Known Interactions in Species Distribution Models

A collection of tools to fit and work with trophic Species Distribution Models. Trophic Species Distribution Models combine knowledge of trophic interactions with Bayesian structural equation models that model each species as a function of its prey (or predators) and environmental conditions. It exploits the topological ordering of the known trophic interaction network to predict species distribution in space and/or time, where the prey (or predator) distribution is unavailable. The method implemented by the package is described in Poggiato, Andréoletti, Pollock and Thuiller (2022) <doi:10.22541/au.166853394.45823739/v1>.

Authors:Giovanni Poggiato [aut, cre, cph], Jérémy Andréoletti [aut]

webSDM_1.1-5.tar.gz
webSDM_1.1-5.tar.gz(r-4.5-noble)webSDM_1.1-5.tar.gz(r-4.4-noble)
webSDM_1.1-5.tgz(r-4.4-emscripten)webSDM_1.1-5.tgz(r-4.3-emscripten)
webSDM.pdf |webSDM.html✨
webSDM/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/giopogg/websdm/issues

Datasets:
  • G - Simulated environemntal covariates G
  • X - Simulated environmental covariates X
  • Y - Simulated species distribution Y

8 exports 2.78 score 148 dependencies 9 scripts 226 downloads

Last updated 3 months agofrom:8a7a8d995b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 23 2024
R-4.5-linuxOKSep 23 2024

Exports:computeVariableImportanceevaluateModelFitplotGplotG_inferredpredictPotentialSDMfittrophicSDMtrophicSDM_CV

Dependencies:abindbackportsbase64encbayesplotBHbootbridgesamplingbrmsBrobdingnagbroombroom.mixedbslibcachemcallrcheckmateclicodacodetoolscolorspacecolourpickercommonmarkcpp11crayoncrosstalkdescdigestdismodistributionaldplyrDTdygraphsevaluatefansifarverfastmapfontawesomeforcatsforeachfsfurrrfuturefuture.applygenericsGGallyggplot2ggridgesggstatsglmnetglobalsgluegridExtragtablegtoolshighrhmshtmltoolshtmlwidgetshttpuvigraphinlineisobanditeratorsjquerylibjsonlitejtoolsknitrlabelinglaterlatticelazyevallifecyclelistenvlme4loomagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimeminiUIminqamunsellmvtnormnleqslvnlmenloptrnumDerivpanderparallellypatchworkpillarpkgbuildpkgconfigplyrposteriorprettyunitsprocessxprogresspromisespspurrrQuickJSRR6rappdirsrasterRColorBrewerRcppRcppEigenRcppParallelreshape2rlangrmarkdownrstanrstanarmrstantoolssandwichsassscalesshapeshinyshinyjsshinystanshinythemessourcetoolsspStanHeadersstringistringrsurvivaltensorAterrathreejstibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtablextsyamlzoo

Composite variables and biotic-abiotic interactions

Rendered fromComposite_variables.Rmdusingknitr::rmarkdownon Sep 23 2024.

Last update: 2024-06-25
Started: 2022-11-25

Introduction to trophic SDM

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Sep 23 2024.

Last update: 2024-06-25
Started: 2022-11-25

Subtle and obvious differences between SDM and trophic SDM

Rendered fromDifferences_with_SDMs.Rmdusingknitr::rmarkdownon Sep 23 2024.

Last update: 2024-06-25
Started: 2022-11-25