https://github.com/rspatial/disdat
https://github.com/rspatial/disdat
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/rspatial/disdat
- Owner: rspatial
- License: lgpl-3.0
- Created: 2019-04-04T14:31:56.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-07T22:04:08.000Z (over 3 years ago)
- Last Synced: 2025-05-05T11:54:46.408Z (about 1 year ago)
- Language: R
- Size: 10.5 MB
- Stars: 8
- Watchers: 3
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# disdat
## Data for Evaluating Species Distribution Modelling Methods
This package consists of a collection of datasets that can be used to compare species distribution models. There are data for 6 regions in the world, for a total of 226 anonymised species including birds, vascular plants, reptiles and bats. Each data set has presence-only (and optionally background) training data to build models, and presence/absence data to evaluate models.
## Installation
The package is [available from CRAN](https://cran.r-project.org/web/packages/disdat/index.html). You can install it with `install.packages("disdat")`.
To install the github development version, you can use the `remotes` package like this
```
library(remotes)
remotes::install_github("rspatial/disdat")
```
## Citation
To cite the use of the data and the **disdat** package in publications, please use:
Elith, J., Graham, C.H., Valavi, R., Abegg, M., Bruce, C., Ferrier, S., Ford, A., Guisan, A., Hijmans, R.J., Huettmann, F., Lohmann, L.G., Loiselle, B.A., Moritz, C., Overton, J.McC., Peterson, A.T., Phillips, S., Richardson, K., Williams, S., Wiser, S.K., Wohlgemuth, T. & Zimmermann, N.E., (2020). **Presence-only and presence-absence data for comparing species distribution modeling methods.** Biodiversity Informatics 15: 69-80.