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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: |
0.4.1 |
| 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: |
2024-02-14 |
| 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://github.com/smwoodman/eSDM/,
https://connect.fisheries.noaa.gov/eSDM/ |
| NeedsCompilation: |
no |
| Citation: |
eSDM citation info |
| Materials: |
NEWS |
| CRAN checks: |
eSDM results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=eSDM
to link to this page.
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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