Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns

► A spatial data mining framework for analyzing crime hotspots is introduced. ► A novel model (HOT) is developed to optimize the identification of crime hotspots. ► A similarity measure method is introduced to summarize GDPatterns. ► GDPattern clusters are used to study the characteristics of crime related variables.