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NCJRS Abstract

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NCJ Number: 182546 Find in a Library
Title: Crime, Space, and Place: An Analysis of Crime Patterns in Brooklyn (From Analyzing Crime Patterns: Frontiers of Practice, P 107-119, 2000, Victor Goldsmith, Philip G. McGuire, John H. Mollenkopf, and Timothy A. Ross, eds. -- See NCJ-182542)
Author(s): Thomas Kamber; John H. Mollenkopf; Timothy A. Ross
Date Published: 2000
Page Count: 13
Sponsoring Agency: Sage Publications, Inc
Thousand Oaks, CA 91320
Sale Source: Sage Publications, Inc
2455 Teller Road
Thousand Oaks, CA 91320
United States of America
Type: Report (Study/Research)
Format: Book (Softbound)
Language: English
Country: United States of America
Annotation: This chapter explores several techniques that allow for a better understanding of where crime incidents occur and the factors that are associated with particular crimes.
Abstract: Specifically, the chapter examines block aggregation, local indicators of spatial autocorrelation (LISA), and spatial regression to show how they can be used to identify crime clusters and to test theoretical explanations for the causes of crime. In addition to crime data provided by the New York City Police Department (NYPD), the study also incorporates data sets created by the U.S. Census Bureau. The chapter concludes that as a package, the techniques described permit the gleaning of a tremendous amount of information from raw crime data. The authors started by examining temporal clustering and then used aggregation techniques to identify individual polygons with high crime rates. This spatial clustering was augmented by LISA statistics to show areas of relative clustering, i.e., where high-crime polygons were located next to other high-crime polygons. Finally, the authors used spatial regression techniques to identify variables linked to the root causes of criminal behavior. Challenges for future research are discussed. 3 figures, 1 table, 6 notes, and 10 references
Main Term(s): Police crime analysis training
Index Term(s): Crime analysis; Crime patterns; Geographic distribution of crime; New York; Police management; Police resource allocation
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