Tools
Predictive policing : the role of crime forecasting in law enforcement operations
- Author
- Perry, Walt L. author.
- Title
- Predictive policing : the role of crime forecasting in law enforcement operations / Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood.
- Format
- Book
- Published
- Santa Monica, CA : RAND, 2013.
- Description
- xxix, 155 pages : illustrations ; 26 cm.
- URL
- - (Link to electronic resource) http://www.rand.org/content/dam/rand/pubs/research_reports/RR200/RR233/RAND_RR233.pdf http://www.rand.org/pubs/research_reports/RR233.html
- Notes
- Includes bibliographical references.
- Contents
-
- 1. Introduction
- What is predictive policing?
- Criminological justification for predictive policing
- Nature of predictive policing
- Taxonomy of predictive methods
- Prediction-led policing process and practices
- Data collection
- Analysis
- Police operations
- Criminal response
- 2. Making predictions about potential crimes
- Hot spot analysis and crime mapping
- Grid mapping
- Covering ellipses
- Single and dual kernel density estimation
- Heuristic methods
- Regression methods
- Data mining (predictive analytics)
- Clustering
- Classification
- Near-repeat methods
- Spatiotemporal analysis
- Heat maps
- Seasonality
- Risk terrain analysis
- 3. Using predictions to support police operations
- Evidence-based policing
- Hot spots in Washington, D.C.
- Koper Curve application in Sacramento
- Investigating convenience store robberies in Chula Vista, California
- Predictive policing in context
- (Shreveport, LA, Memphis, TN, Nashville, TN, Baltimore, MD, Iraq, Minneapolis, MN, Charlotte-Mecklenburg County, NC
- Crime maps : community relations
- Police actions
- 4. Using predictions to support investigations of potential offenders
- Protecting privacy rights and civil liberties
- Predictive policing symposium assessment
- Privacy under the Fourth Amendment of the U.S. Constitution
- Privacy with respect to policing intelligence information systems
- Privacy resources for the law enforcement community
- Dealing with noisy and conflicting data : data fusion
- Risk assessment for individual criminal behavior
- Behavioral instruments
- Quebec, Canada : assessing criminogenic risks of gang members
- Pittsburgh, PA : predicting violence and homicide among young men
- Risk assessment for organized crime behavior
- Risk assessment instruments for domestic violence
- Risk assessment instruments for mental health
- Predictive methods : finding suspects
- Criminal intelligence in social network analysis format
- Links to Department of Motor Vehicle registries, pawn data, and other registries
- Anchor point analysis, or geographic profiling
- Modus Operandi similarity analysis
- Exploitation of sensor data
- Multisystem and network queries
- Identifying high-risk individuals
- Identifying the most likely suspects
- Prediction-based offender intervention in context
- Florida State Department of Juvenile Justice : preemptive efforts
- Predicting predator hunting patterns
- 5. Findings for practitioners, developers, and policymakers
- Predictive policing myths
- Predictive policing pitfalls
- Buyer's guide to predictive policing
- Developer's guide to predictive policing
- Crime fighter's guide to using predictive policing : emerging practices.
- Summary
- Predictive policing is the use of analytical techniques to identify promising targets for police intervention with the goal of preventing crime, solving past crimes, and identifying potential offenders and victims. These techniques can help departments address crime problems more effectively and efficiently. They are being used by law enforcement agencies across the United States and elsewhere, and these experiences offer valuable lessons for other police departments as they consider the available tools to collect data, develop crime-related forecasts, and take action in their communities. This guide is one in a series of resources sponsored by the National Institute of Justice to help police departments develop strategies to more effectively prevent crime or conduct investigations. It provides assessments of some of the most promising technical tools for making predictions and tactical approaches for acting on them, drawing on prior research, information from vendors and developers, case studies of predictive policing in practice, and lessons from the use of similar techniques in military operations. It also dispels some myths about predictive methods and explores some pitfalls to avoid in using these tools. Predictive policing is a topic of much enthusiasm and much concern, particularly with regard to civil liberties and privacy rights. As this guide shows, these tools are not a substitute for integrated approaches to policing, nor are they a crystal ball; the most effective predictive policing approaches are elements of larger proactive strategies that build strong relationships between police departments and their communities to solve crime problems.
- Subject headings
- Crime forecasting--United States. Crime prevention--United States. Criminal behavior, Prediction of--United States. Police--United States.
- ISBN
- 9780833081483 (pbk. : alk. paper) 0833081489 (pbk. : alk. paper)