The document describes a study that used spatial statistics methods to analyze fear of crime and vulnerability to residential burglary in a central European city. The study used survey data from 1,505 citizens about their fear of burglary and security measures in their homes. Spatial analysis techniques like kernel density estimation and nearest neighbor clustering were used to identify "hot spots" of high fear and vulnerability, finding a fear hot spot in the Westside and a vulnerability hot spot downtown. The analysis helped understand patterns of crime risk across the city.