ACM Computing Surveys (CSUR)
Cluster Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Simulating spatial-temporal pulse events in criminal site selection problems
Proceedings of the 2012 Symposium on Agent Directed Simulation
Geographic profiling of criminal groups for military cordon and search
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
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Spatial analysis looks for statistically significant patterns in observed events that occur at specified locations. Most examples of spatial analysis consider aggregate characteristics over a number of coarsely defined regions rather than point processes. However, criminal events are point processes and should be modeled as such. In this paper, we combine recent advances in discrete choice theory and data mining to develop point process models for spatial analysis. We use this new methodology to analyze and predict the spatial behavior of criminals, and more generally, latent decision makers. The paper compares the performance of this methodology to more traditional hot spot methods of crime analysis.