Spatial Datasets for Ecological Modeling
Overview
Provides spatial datasets ready to use for ecological modelling and raster companion data for prediction: Neanderthal presence during the Last Interglacial (Benito et al. 2017 doi:10.1111/jbi.12845); Plant diversity metrics for the World's Ecoregions (Maestre et al. 2021 doi:10.1111/nph.17398); tree richness across the Americas (Benito et al. 2013 doi:10.1111/2041-210X.12022); plant communities from the Sierra Nevada (Spain) with future climate scenarios (Benito et al. 2013 doi:10.1111/2041-210X.12022); butterfly-plant interaction data from Sierra Nevada (Spain) (Benito et al. 2011 doi:10.1007/s10584-010-0015-3); plant species occurrences in Andalusia (Spain) (Benito et al. 2014 doi:10.1111/ddi.12148); presence of the plant Linaria nigricans and greenhouses (Benito et al. 2009 doi:10.1007/s10531-009-9604-8); global NDVI and environmental predictors, and European oak species occurrences. All datasets include pre-processed environmental predictors ready for statistical modelling.
- Fixed wrong doi in
R/plantae.RandREADME.md. - Dataset
vi_smolis now ansfdataframe. plantae_extra(),vi_extra(), andtrees_extra()now cache their result in memory for the duration of the R session. Subsequent calls within the same session return the cached object instantly without re-reading from disk.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK8 OK2026-04-22
Documentation
The repository also keeps web-only articles.
- Help pages
- 41
- Examples that run
- 100%30 run in a plain check
- Exported functions with examples
- 0%
- Documented parameters
- not tracked
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
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8 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/blasbenito/spatialdata on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-10-14 · The repository has a site deploy workflow
pkgdown site last built 2026-10-14
Dependencies
Installing spatialData adds 10 packages (9 with compiled code, 18 MB of source tarballs). Heaviest: sf 9.3 MB, s2 2.8 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.0.1Latest
- RR 4.6.0 released · 2026-04-24
- 1.0.02026-04-21
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-21
- Total releases
- 2 / 1 yrs
- License
- CC BY 4.0
- Minimum R
- ≥ 4.1.0
- Bundled data
- 4.1 MB / 30 files
- Download size
- 4.1 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("spatialData")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.5281/zenodo.19508673.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.