ODMeans: An R package for global and local cluster detection for Origin–Destination GPS data

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The ODMeans R package implements the OD-Means model, a two-layer hierarchical clustering algorithm designed for extracting both global and local travel patterns from Origin–Destination Pairs (OD-Pairs). In contrast to existing models, OD-Means automates cluster determination and offers advantages such as smaller Within-Cluster Distance (WCD) and dual hierarchies. The package includes functions for applying the model and visualizing the results on maps. Using real taxi data from Santiago, Chile, we demonstrate the package's capabilities, showcasing its flexibility and impact on understanding urban mobility patterns.

Original languageEnglish
Article number101732
JournalSoftwareX
Volume26
DOIs
StatePublished - May 2024
Externally publishedYes

Keywords

  • Machine learning
  • Odmeans
  • R
  • k-means

Fingerprint

Dive into the research topics of 'ODMeans: An R package for global and local cluster detection for Origin–Destination GPS data'. Together they form a unique fingerprint.

Cite this