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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: | 0.4.2 |
Depends: | R (≥ 4.0.0) |
Imports: | dplyr (≥ 0.7-0), magrittr, methods, purrr, rlang, ROCR, sf (≥ 0.9-0), 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: | 2024-07-12 |
DOI: | 10.32614/CRAN.package.eSDM |
Author: | Sam Woodman |
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 |
Reference manual: | eSDM.pdf |
Vignettes: |
Example analysis - Woodman et al 2019 |
Package source: | eSDM_0.4.2.tar.gz |
Windows binaries: | r-devel: eSDM_0.4.2.zip, r-release: eSDM_0.4.2.zip, r-oldrel: eSDM_0.4.2.zip |
macOS binaries: | r-release (arm64): eSDM_0.4.2.tgz, r-oldrel (arm64): eSDM_0.4.2.tgz, r-release (x86_64): eSDM_0.4.2.tgz, r-oldrel (x86_64): eSDM_0.4.2.tgz |
Old sources: | eSDM archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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