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stdbscan

0.2.0

Spatio-Temporal DBSCAN Clustering

1packages depend
6.7Kdownloads / year
100.0%test coverage
13/13checks pass

Overview

About
Maintained by Antoine Le DoeuffFirst published 2026-01-272 releasesCRAN page ↗GitHub ↗

Implements the ST-DBSCAN (spatio-temporal density-based spatial clustering of applications with noise) clustering algorithm for detecting spatially and temporally dense regions in point data, with a fast C++ backend via 'Rcpp'. Birant and Kut (2007) doi:10.1016/j.datak.2006.01.013.

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.50
100.0%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-17
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • WARNING2026-03-10
    13 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 184 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
20%

Downloads

6.7K
CRAN downloads in the past year
Rank #2,898 · ~18/day · ~558/mo
Daily download trend is not available in this view yet.
2.3K30 days
4.9K90 days
6.7K1 year
Compare downloads with other packages →
Also on254 r2u17 autocran

Repository

Repository
3Stars
0Forks
1Open issues
0Open PRs
1Releases
69Commits
1Contributors
clusteringdbscanspatio-temporalrrcppcran
License GPL-3.0 · 69 commits · Last activity 2026-03-14 · 0% stars, 30d

Stars over time

2026-01-30 · 12026-07-07 · 3

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/miboraminima/stdbscan on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (2)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0Latest
    2026-03-14 · current release · diff ↗
  • 0.1.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-27
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
7.3 KB / 1 file
Download size
1.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("stdbscan")
Le Doeuff, A. (2026). stdbscan: Spatio-Temporal DBSCAN Clustering (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.stdbscan

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 stdbscan version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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