Opentopia Directory Encyclopedia Tools

Crime mapping

Encyclopedia : C : CR : CRI : Crime mapping



 

Criminology and Penology
Theories
Anomie
Differential Association Theory
Deviance
Labelling Theory
Rational Choice Theory
Social Control Theory
Social Disorganisation Theory
Social Learning Theory
Strain Theory
Subcultural Theory
Symbolic Interactionism · Victimology
Types of crimes
Blue-collar crime · Corporate crime
Juvenile crime
Organised crime
Political crime · Public order crime
Public order case law in the U.S.
State crime · State-corporate crime
White-collar crime
Penology
Deterrence · Prison
Prison reform · Prisoner abuse
Prisoners' rights · Rehabilitation (penology)>Rehabilitation
Recidivism · Retributive justice>Retribution
Utilitarianism
[[Portal:Criminal justice|Criminal justice portal]]
See also: [[Wikibooks:Social Deviance]]

Crime mapping is a key component of crime analysis and the CompStat policing strategy. Mapping crime, using Geographic Information Systems (GIS), allows crime analysts to identify crime hot spots, along with other trends and patterns. GIS also allows analysts to overlay other datasets such as census demographics, locations of pawn shops, schools, etc., to better understand the underlying causes of crime and help law enforcement administrators to devise strategies to deal with the problem. GIS is also useful for law enforcement operations, such as allocating police officers and dispatching to emergencies.

Underlying theories that help explain spatial behavior of criminals include environmental criminology, which was devised in the 1980s by Patricia and Paul Brantingham, routine activity theory, developed by Lawrence Cohen and Marcus Felson and originally published in 1979, and rational choice theory, developed by Ronald V. Clarke and Derek Cornish, originally published in 1986. In recent years, crime mapping and analysis has incorporated spatial data analysis techniques that add statistical rigor and address inherent limitations of spatial data, including spatial autocorrelation and spatial heterogeneity. Spatial data analysis helps one analyze crime data and better understand why and not just where crime is occurring.

Crime analysts use that understanding to help law enforcement management (e.g. the police chief) to make better decisions, target resources, and formulate strategies, as well as for tactical analysis (e.g. crime forecasting, geographic profiling). New York City does this through the CompStat approach, though that way of thinking deals more with the short term. There are other, related approaches with terms including Information-led policing, Intelligence-led policing, Problem-oriented policing, and Community policing. In some law enforcement agencies, crime analysts work in civilian positions, while in other agencies, crime analysts are sworn officers

From a research and policy perspective, crime mapping is used to understand patterns of incarceration and recidivism, help target resources and programs, evaluate crime prevention or crime reduction programs (e.g. Project Safe Neighborhoods, Weed & Seed and as proposed in Fixing Broken Windows), and further understanding of causes of crime.

References

External links

 


From Wikipedia, the Free Encyclopedia. Original article here. Support Wikipedia by contributing or donating.
All text is available under the terms of the GNU Free Documentation License See Wikipedia Copyrights for details.


Search Titles
0123456789
ABCDEFGHIJ
KLMNOPQRST
UVWXYZ?

E-mail this article to:

Personal Message: