README.md

In rspatial/disdat: Data for Comparing Species Distribution Modeling Methods

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. 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.

rspatial/disdat documentation built on Feb. 14, 2023, 4:27 a.m.