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CRAN: Package eSDM

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: 2024-10-07 DOI: 10.32614/CRAN.package.eSDM Author: Sam Woodman [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: Downloads: Linking:

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