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: 0.3.1
Depends: R (≥ 3.5.0)
Imports: colorRamps, colourpicker, dichromat, dplyr (≥ 0.7-0), DT, leaflet, lwgeom, methods, purrr, raster, rlang, RColorBrewer, ROCR, shiny, shinycssloaders, shinydashboard, shinyjs, sf (≥ 0.6-3), stats, tmap (≥ 2.3), units, viridis, zip
Suggests: knitr, leafem, maps, maptools, rmarkdown, testthat (≥ 2.1.0)
Published: 2019-10-17
Author: Sam Woodman ORCID iD [aut, cre]
Maintainer: Sam Woodman <sam.woodman at noaa.gov>
BugReports: https://github.com/smwoodman/eSDM/issues
License: GPL-3
URL: https://github.com/smwoodman/eSDM
NeedsCompilation: no
Citation: eSDM citation info
Materials: NEWS
CRAN checks: eSDM results

Downloads:

Reference manual: eSDM.pdf
Vignettes: Woodman et al 2019 - Example analysis
Package source: eSDM_0.3.1.tar.gz
Windows binaries: r-devel: eSDM_0.3.1.zip, r-devel-gcc8: eSDM_0.3.1.zip, r-release: eSDM_0.3.1.zip, r-oldrel: eSDM_0.3.1.zip
OS X binaries: r-release: eSDM_0.3.1.tgz, r-oldrel: eSDM_0.3.1.tgz
Old sources: eSDM archive

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