Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems: Using Computer Simulations and Geographic Information Systems

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Liu, Lin
IGI Global, Jan 31, 2008 - Business & Economics - 508 pages
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In the last decade there has been a phenomenal growth in interest in crime pattern analysis. Geographic information systems are now widely used in urban police agencies throughout industrial nations. With this, scholarly interest in understanding crime patterns has grown considerably.

Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems discusses leading research on the use of computer simulation of crime patterns to reveal hidden processes of urban crimes, taking an interdisciplinary approach by combining criminology, computer simulation, and geographic information systems into one comprehensive resource.

 

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Contents

An Overview of Crime Simulation
The Role of Simulation in Crime Research
The Need for Systematic Replication and Tests of Validity in Simulation
Realistic Spatial Backcloth is not that Important in Agent Based Simulation An Illustration from Simulating Perceptual Deterrence
Visualization of Criminal Activity in an Urban Population
GISBased Simulation and Visualization of Urban Landuse Change
Streets Networks and Crime Distribution
Modelling Pedestrian Movement to Measure OnStreet Crime Risk
Characterizing the SpatioTemporal Aspects of Routine Activities and the Geographic Distribution of Street Robbery
Mastermind Computational Modeling and Simulation of Spatiotemporal Aspects of Crime in Urban Environments
The Simulation of the Journey to Residential Burglary
Simulating Crime Against Properties Using Swarm Intelligence and Social Networks
FraudSim Simulating Fraud in a Public Delivery Program
Crime Justice Operation Simulations
Development of an Intelligent Patrol Routing System Using GIS and Computer Simulations
Drug Law Enforcement in an AgentBased Model Simulating the Disruption to StreetLevel Drug Markets

Core Models for StateoftheArt Microscopic Traffic Simulation and Key Elements for Applications
Simulating Urban Dynamics Using Cellular Antomata
SpaceTime Measures of Crime Diffusion
Crime Event and Pattern Simulations
Synthesis Over Analysis Towards an Ontology for Volume Crime Simulation
Offender Mobility and Crime Pattern Formation from First Principles
Crime Simulation Using GIS and Artificial Intelligent Agents
Using Varieties of Simulation Modeling for Criminal Justice System Analysis
Conclusion
Varieties of Artificial Crime Analysis Purpose Structure and Evidence in Crime Simulations
Compilation of References
About the Contributors
Index
Copyright

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About the author (2008)

Lin Liu is professor of geography at the University of Cincinnati. His main area of expertise is geographic information science (GIS) and its applications to urban-economic problems. He became interested in crime analysis and simulation in year 2000. Dr. Liu is a former president of the Association of the Chinese Professionals in GIS – Abroad. He currently serves in the advisory panel of the Geography and Regional Science program at the National Science Foundation. Dr. Liu received his bachelors and masters degrees from Peking University and his Ph.D. in Geography from the Ohio State University.

John Eck is professor of criminal justice at the University of Cincinnati. He has written extensively on police effectiveness, drug markets, crime patterns, and crime prevention. He is an individual affiliate of the Center for Problem-Oriented Policing and was a member of the National Academy of Sciences Committee to Review Research on Police Policy and Practices. Dr. Eck received his bachelors and masters degrees from the University of Michigan and his Ph.D. in Criminology from the University of Maryland. Before earning his doctorate, Eck directed research for the Police Executive Research Forum, a police research organization in Washington, D.C. [Editor]

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