jakteristics

jakteristics is an open-source Python library specifically developed for the computation of geometric features from point cloud datasets. This tool enables users to extract meaningful characteristics from individual points within a cloud, such as linearity, planarity, and sphericity, by analyzing their local neighborhood structures. These features are fundamental for advanced geospatial analysis tasks.

The library's capabilities are particularly valuable in applications involving LiDAR data processing, 3D urban modeling, and environmental monitoring. By providing a programmatic way to derive these geometric properties, jakteristics supports researchers and developers in building more sophisticated algorithms for point cloud classification, segmentation, and object recognition. Its Python-based nature ensures ease of integration into existing data science workflows.