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 |