Location

University of Nevada Las Vegas, Greenspun Hall

Description

Police typically rely on retrospective hotspot maps to informe prevention strategies aimed at reducing future crime. The current study reviews environmental crime theories that help to identify casual factors associated with rish of auto theft. Map layers are created from data that operationalize these risk factors. These layers are combined using spatial analysis techniques to produce a "risk density" map. Analysis of crime data are used to determing wheter our "risk density" map better predicts subsequetnt theft events than a traditional retrospective hotspot map.

Keywords

Automobile theft – Forecasting; Automobile theft—Prevention; Crime prevention

Disciplines

Criminology and Criminal Justice | Quantitative, Qualitative, Comparative, and Historical Methodologies | Social Control, Law, Crime, and Deviance | Statistics and Probability

Language

English

 
Apr 20th, 1:00 PM Apr 20th, 2:00 PM

Risk auto theft: Predicting spatial distributions of crime events

University of Nevada Las Vegas, Greenspun Hall

Police typically rely on retrospective hotspot maps to informe prevention strategies aimed at reducing future crime. The current study reviews environmental crime theories that help to identify casual factors associated with rish of auto theft. Map layers are created from data that operationalize these risk factors. These layers are combined using spatial analysis techniques to produce a "risk density" map. Analysis of crime data are used to determing wheter our "risk density" map better predicts subsequetnt theft events than a traditional retrospective hotspot map.