Ensemble Tool for Predictions from Species Distribution Models [R package eSDM version 0.4.4]

Sam Woodman

eSDM: Ensemble Tool for Predictions from Species Distribution Models

A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.

Version: 0.4.4

Depends: R (≥ 4.0.0)

Imports: dplyr (≥ 1.1), magrittr, methods, purrr, rlang, ROCR, sf (≥ 1.0), shiny, stats, units

Suggests: colorRamps, colourpicker, dichromat, DT, knitr, leafem, leaflet, maps, raster, RColorBrewer, rmarkdown, shinybusy, shinydashboard, shinyjs, testthat (≥ 2.1.0), tmap (≥ 2.3), viridis, zip

Published: 2024年10月07日

DOI: 10.32614/CRAN.package.eSDM

Author: Sam Woodman ORCID iD [aut, cre]

Maintainer: Sam Woodman <sam.woodman at noaa.gov>

BugReports: https://github.com/swfsc/eSDM/issues/

License: Apache License (== 2)

URL: https://github.com/swfsc/eSDM/, https://swfsc.github.io/eSDM/

NeedsCompilation: no

Citation: eSDM citation info

Materials: NEWS

CRAN checks: eSDM results

Documentation:

Reference manual: eSDM.html , eSDM.pdf

Vignettes: Example analysis - Woodman et al 2019 (source, R code)

Downloads:

Package source: eSDM_0.4.4.tar.gz

Windows binaries: r-devel: eSDM_0.4.4.zip, r-release: eSDM_0.4.4.zip, r-oldrel: eSDM_0.4.4.zip

macOS binaries: r-release (arm64): eSDM_0.4.4.tgz, r-oldrel (arm64): eSDM_0.4.4.tgz, r-release (x86_64): eSDM_0.4.4.tgz, r-oldrel (x86_64): eSDM_0.4.4.tgz

Old sources: eSDM archive

Linking:

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