stdbscan: Spatio-Temporal DBSCAN Clustering

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>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	Rcpp
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown, readr, testthat, ggplot2, lubridate, plotly, covr, MetBrewer
Published:	2026-01-27
DOI:	10.32614/CRAN.package.stdbscan (may not be active yet)
Author:	Antoine Le Doeuff [aut, cre]
Maintainer:	Antoine Le Doeuff <antoine.ldoeuff at gmail.com>
BugReports:	https://github.com/MiboraMinima/stdbscan/issues/
License:	GPL (≥ 3)
URL:	https://github.com/MiboraMinima/stdbscan/, https://miboraminima.github.io/stdbscan/
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	stdbscan results

Documentation:

Reference manual:	stdbscan.html , stdbscan.pdf
Vignettes:	Stop identification with ST-DBSCAN (source, R code)

Downloads:

Package source:	stdbscan_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stdbscan to link to this page.