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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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=stdbscan
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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