skip navigation

PUBLICATIONS

Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.

 

NCJ Number: 229474 Find in a Library
Title: Spatial Dependency of Crime Increase Dispersion
Journal: Security Journal  Volume:23  Issue:1  Dated:February 2010  Pages:18-36
Author(s): Jerry H. Ratcliffe
Date Published: February 2010
Page Count: 19
Document: HTML
Publisher: http://www.palgrave.com 
Type: Report (Study/Research)
Format: Article
Language: English
Country: United States of America
Annotation: In this article, a combination of the order of areal units from a dispersion analysis with a measure of the local level of spatial association is used to develop a tool that can identify clustered areas of emerging crime problems.
Abstract: A number of analytical techniques (such as the Gini coefficient and the Lorenz curve) can identify unequal distributions in crime frequency among sub-areas within a study region; however, these tools are often aspatial and say nothing about the relationships between spatial units. Using dispersion analysis, a technique that measures the relative dispersion of a crime increase across a region allows for the identification of particular spatial units that are sufficiently influential to drive up the overall jurisdictional crime rate. The identification of second-order spatial processes may be beneficial to police departments and crime prevention practitioners who are interested in the identification of statistically significant clusters of emerging crime hotspots. The process is demonstrated with an example of robbery rates in police sectors of Philadelphia, PA. 1 table, 4 figures, and 86 references (Publisher Abstract)
Main Term(s): Crime prevention planning
Index Term(s): Geographic distribution of crime; Geographic information systems (GIS); Mathematical modeling; Pennsylvania; Police management; Police planning
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=251503

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.