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stdbscan

Lifecycle: experimental Codecov test coverage R-CMD-check

Overview

stdbscan provide a function for the ST-DBSCAN (Spatio-Temporal DBSCAN) algorithm developped by Birant & Kut (2007). It extends DBSCAN by adding a temporal parameter that allows spatio-temporal clustering.

The function is implemented in C++ via Rcpp for performance.

Installation

The package will be available on CRAN. Once released, install with:

install.packages("stdbscan")

In the meantime, you can install the development version from GitHub:

# install.packages("devtools")
devtools::install_github("MiboraMinima/stdbscan")

Usage

An example of the application of stdbscan is available in the vignette on stop identification.

Problems and Issues

System Requirements

stdbscan requires R v >= 3.5.0.

Alternatives

R :

python :

References

Birant, D., & Kut, A. (2007). ST-DBSCAN: An algorithm for clustering spatial–temporal data. Data & Knowledge Engineering, 60(1), 208–221. https://doi.org/10.1016/j.datak.2006.01.013

About

❗ This is a read-only mirror of the CRAN R package repository. stdbscan — Spatio-Temporal DBSCAN Clustering. Homepage: https://github.com/MiboraMinima/stdbscan/https://miboraminima.github.io/stdbscan/ Report bugs for this package: https://github.com/MiboraMinima/stdbscan/issues/

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