Lecture notes from Research Skills: Spatiotemporal Data Analysis (800880-M-3) at Tilburg University, covering the foundational concepts of ST data and clustering techniques. The document introduces the three components of spatiotemporal analysis (spatial, temporal, data), explains ST data types (events, trajectories, lattice, point reference, raster), and details clustering algorithms including K-Means and DBSCAN. Essential for understanding autocorrelation, heterogeneity, and how to convert bet...