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:

Reference manual:	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

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