stmeasures — Measure similarity between trajectories
GitHub | PyPI | Documentation
stmeasures is a Python library designed to help researchers, data scientists, and GIS professionals analyze and compare trajectories efficiently. It provides a variety of algorithms for measuring trajectory similarity, supporting applications in clustering, pattern discovery, and outlier detection.
Key Features
Comprehensive Algorithms: Includes Hausdorff, Frechet, DTW, LCSS, Euclidean, and SPAD distance measures.
Flexible and Extensible: Allows integration with larger workflows and customization for specific trajectory data.
Research-Driven Design: Developed to support GIS and movement analysis in academic and practical contexts.
Applications
Group trajectories with similar movement patterns.
Identify anomalies or outliers in trajectory datasets.
Match and compare paths for logistics, navigation, or ecological research.
Contents
Below find the documented contents where you will find how to use this package and how to also extend it if needed.