wSTKDE: High-Performance Open-Source 3D Spatio-Temporal KDE
Overview: wSTKDE is an open-source Python/Numba project for high-performance spatio-temporal kernel density estimation.
Performance: Implements a custom algorithm that scales linearly with the number of input points, and processes a real-world dataset of 1.7 million points in just 0.5 seconds.
Background: Developed in part during a master's thesis in Geo-Information Science.
Availability: Released under MIT license on GitHub.