Skip to content

spatialData

1.0.1Package record

Spatial Datasets for Ecological Modeling

1packages depend
3.2Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.0.1
  • Fixed wrong doi in R/plantae.R and README.md.
  • Dataset vi_smol is now an sf dataframe.
  • plantae_extra(), vi_extra(), and trees_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

CRAN checks
13OK
Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK8 OK2026-04-22
Advisories

none known

Documentation

In release 1.0.1
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 1.0.1Citation fileYes · software entry onlyWebsiteYes · pkgdown

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

3.2K
CRAN downloads in the past year
Rank #6,620 · ~9/day · ~263/mo
Daily download trend is not available in this view yet.
42830 days
1.3K90 days
3.2K1 year
Compare downloads with other packages →
Also on94 r2u3 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
2Releases
88Commits
1Commit identities
datamodellingrspatialpackage
88 commits · Last activity 2026-10-14 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2026-05-18 · 12026-07-07 · 1
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-14 · The repository has a site deploy workflow

pkgdown site last built 2026-10-14

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 4.1.0
Imports (2)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • 1.0.1Latest
    record
    2026-05-17 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0
    record
    2026-04-21
  • R
    R 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for spatialData version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy