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. (in press - contact author for paper).

Version: 0.3.0
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 (≥ 2.1), units, viridis, zip
Suggests: knitr, leafem, maps, maptools, rmarkdown, testthat (≥ 2.1.0)
Published: 2019-08-19
Author: Sam Woodman [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 (in press) - Example analysis
Package source: eSDM_0.3.0.tar.gz
Windows binaries: r-devel: eSDM_0.3.0.zip, r-release: eSDM_0.3.0.zip, r-oldrel: eSDM_0.3.0.zip
OS X binaries: r-release: eSDM_0.3.0.tgz, r-oldrel: eSDM_0.3.0.tgz
Old sources: eSDM archive

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