This chapter examines the potential of GIS in combination with spatial statisticsin an exploratory analysis of urban geography of offenses in two Scandinavian cities.The term exploratory analysis implies here the use of techniques for detection ofpatterns in data (clusters) as well as statistical modeling. Techniques such as Kmeansportioning and Kulldorff’s scan test are used to provide a simplified representationof where significant statistical concentrations of offenses occur across thecity, while regression models are applied to explain such clusters. Three clustertechniques are applied to data on pickpocketing in Copenhagen, the capital ofDenmark. This is followed by an attempt to explain patterns of vandalism usingdemographic, socioeconomic, and land use covariates in Malmö, the third largestSwedish city. The chapter concludes with a discussion of the strengths and limitationsof these techniques for local planning.