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.html , 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 |
Linking:
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