Data for Comparing Species Distribution Modeling Methods
Overview
Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) doi:10.17161/bi.v15i2.13384 to compare species distribution modelling methods.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 90%9 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 64%
Downloads
Dependencies
Installing disdat adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.1-0Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0-12023-02-07 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0-02020-09-17
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-09-17
- Total releases
- 3 / 6 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 3.8 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("disdat")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.