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stdbscan

0.2.0Package record

Spatio-Temporal DBSCAN Clustering

0packages dependsuggested by 1
10.3Kdownloads / year
100.0%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.2.0

Changes

  • st_dbscan() now uses dbscan hunder the hood.

New features

  • Add a fonction for prediction predict(<stdbcsan>).
  • Add a fonction to check if points are corepoints st_dbscan_corepoint().
  • Add a class (stdbscan) for the clustering object based on the dbscan class.

Breaking changes

  • Input is now a matrix (x, y and t) like in dbscan::dbscan()

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-17
Show 1 earlier changeHide 1 earlier change
  • WARNING13 OK, 1 WARNING2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 184 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsiteYes · pkgdown
Help pages
5 (1 internal)includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
20%

Downloads

10.3K
CRAN downloads in the past year
Rank #2,700 · ~28/day · ~862/mo
Daily download trend is not available in this view yet.
1.9K30 days
5.7K90 days
10.3K1 year
Compare downloads with other packages →
Also on272 r2u2 autocran

Repository

3Stars
0Forks
1Open issues
0Open PRs
1Releases
69Commits
1Commit identities
clusteringdbscanspatio-temporalrrcppcran
License file reads as GPL-3.0 · 69 commits · Last activity 2026-03-14 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
15
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2026-01-30 · 12026-07-07 · 3
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/miboraminima/stdbscan on 2026-10-22.

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 (3)
pkgdown

GitHub Pages site last deployed 2026-03-14 · The repository has a site deploy workflow

pkgdown site last built 2026-03-14

Coverage (1)
Coverage reporting
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing stdbscan adds 3 packages (2 with compiled code, 5.6 MB of source tarballs). Heaviest: dbscan 3.8 MB, Rcpp 1.8 MB, generics 46 KB.

Depends (1)
R >= 3.5.0
Imports (2)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0Latest
    record
    2026-03-14 · current release · diff ↗ ·
    added 1 export
    st_dbscan_corepoint
  • 0.1.0
    record
    2026-01-27
  • 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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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