Table of Contents.
Detailed Table of Contents.
Preface: An Overview of Crime Simulation.
1: The Role of Simulation in Crime Research.
2: The Need for Systematic Replication and Tests of Validity in Simulation1.
3: Realistic Spatial Backcloth Is not that Important in Agent Based Simulation: An Illustration from Simulating Perceptual Deterrence.
4: Visualization of Criminal Activity in an Urban Population.
5: GIS–Based Simulation and Visualization of Urban Landuse Change.
6: Streets, Networks, and Crime Distribution.
7: Modelling Pedestrian Movement to Measure On–Street Crime Risk.
8: Core Models for State–of–the–Art Microscopic Traffic Simulation and Key Elements for Applications.
9: Simulating Urban Dynamics Using Cellular Antomata.
10: Space–Time Measures of Crime Diffusion.
11: Crime Event and Pattern Simulations.
12: Synthesis Over Analysis: Towards an Ontology for Volume Crime Simulation.
13: Offender Mobility and Crime Pattern Formation from First Principles.
14: Crime Simulation Using GIS and Artificial Intelligent Agents.
15: Characterizing the Spatio–Temporal Aspects of Routine Activities and the Geographic Distribution of Street Robbery.
16: Mastermind: Computational Modeling and Simulation of Spatiotemporal Aspects of Crime in Urban Environments.
17: The Simulation of the Journey to Residential Burglary.
18: Simulating Crime Against Properties Using Swarm Intelligence and Social Networks.
19: FraudSim: Simulating Fraud in a Public Delivery Program1.
20: Crime Justice Operation Simulations.
21: Development of an Intelligent Patrol Routing System Using GIS and Computer Simulations.
22: Drug Law Enforcement in an Agent–Based Model: Simulating the Disruption to Street–Level Drug Markets.
23: Using Varieties of Simulation Modeling for Criminal Justice System Analysis.
25: Varieties of Artificial Crime Analysis: Purpose, Structure, and Evidence in Crime Simulations.
Compilation of References.
About the Contributors.