Package: stdbscan
Title: Spatio-Temporal DBSCAN Clustering
Version: 0.2.0
Authors@R: 
    person("Antoine", "Le Doeuff", , "antoine.ldoeuff@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0008-8807-3816"))
Description: 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>.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://github.com/MiboraMinima/stdbscan/,
        https://miboraminima.github.io/stdbscan/
BugReports: https://github.com/MiboraMinima/stdbscan/issues/
LinkingTo: Rcpp
Imports: Rcpp, dbscan
Suggests: knitr, rmarkdown, readr, testthat, ggplot2, plotly, covr,
        MetBrewer
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-03-14 15:23:16 UTC; miboraminima
Author: Antoine Le Doeuff [aut, cre] (ORCID:
    <https://orcid.org/0009-0008-8807-3816>)
Maintainer: Antoine Le Doeuff <antoine.ldoeuff@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-14 15:40:02 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2026-03-22 20:57:02 UTC; unix
Archs: stdbscan.so.dSYM
