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: |
0.3.7 |
| Depends: |
R (≥ 3.5.0) |
| 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, maptools, raster, RColorBrewer, rmarkdown, shinybusy, shinydashboard, shinyjs, testthat (≥ 2.1.0), tmap (≥ 2.3), viridis, zip |
| Published: |
2021-05-04 |
| 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://smwoodman.github.io/eSDM/,
https://github.com/smwoodman/eSDM/ |
| NeedsCompilation: |
no |
| Citation: |
eSDM citation info |
| Materials: |
NEWS |
| CRAN checks: |
eSDM results |