2604.01421 Spatiotemporal Gaussian Process Models for Crime Hotspot Detection Outperform Kernel Density Estimation by 24% in Hit Rate
Crime hotspot prediction is central to evidence-based policing, yet KDE treats crime as static. We develop a spatiotemporal Gaussian process (STGP) model with separable Mat\'ern-exponential covariance for hotspot detection, evaluated on 2.