Spatio-Temporal DBSCAN Clustering
Overview
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
st_dbscan()now usesdbscanhunder 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 thedbscanclass.
Breaking changes
- Input is now a
matrix(x,yandt) like indbscan::dbscan()
From NEWS.md in the release
Install
Health
- 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
Documentation
- 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
Repository
- 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
Releases over time
Issues over time
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.
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GitHub Pages site last deployed 2026-03-14 · The repository has a site deploy workflow
pkgdown site last built 2026-03-14
Dependencies
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.
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
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- 0.1.02026-01-27
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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
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