Welcome to the InfoSci Platform
Reference Hub2
Single Incident Geographical Profiling

Single Incident Geographical Profiling

Richard Z. Gore, Nikolas J. Tofiluk, Kenneth V. Griffiths
Copyright: © 2005 |Pages: 19
ISBN13: 9781591404538|ISBN10: 1591404533|ISBN13 Softcover: 9781591404545|EISBN13: 9781591404552
DOI: 10.4018/978-1-59140-453-8.ch007
Cite Chapter Cite Chapter

MLA

Gore, Richard Z., et al. "Single Incident Geographical Profiling." Geographic Information Systems and Crime Analysis, edited by Fahui Wang, IGI Global, 2005, pp. 118-136. https://doi.org/10.4018/978-1-59140-453-8.ch007

APA

Gore, R. Z., Tofiluk, N. J., & Griffiths, K. V. (2005). Single Incident Geographical Profiling. In F. Wang (Ed.), Geographic Information Systems and Crime Analysis (pp. 118-136). IGI Global. https://doi.org/10.4018/978-1-59140-453-8.ch007

Chicago

Gore, Richard Z., Nikolas J. Tofiluk, and Kenneth V. Griffiths. "Single Incident Geographical Profiling." In Geographic Information Systems and Crime Analysis, edited by Fahui Wang, 118-136. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-453-8.ch007

Export Reference

Mendeley
Favorite

Abstract

This chapter describes the results obtained by using simulation software to determine the ability to rank the suspects of a single incident based on the geographic information derived from arrest records. The current software uses three different geographic filters. These geographic filters were based on the standard distance decay curve (DDC), an incident based distance decay curve (IBDDC) and the incident-based offender residence probability surface (IBORPS). These filters were rated on their ability to order suspect lists. Boundary effects due to the crude core-periphery population gradient characteristic of cities and sub-areal heterogeneities were found to be associated with the standard DDC analysis. The results indicated a definite utility value in these filters, which tends to support crime theories based on the premise that criminal activity patterns are systematically influenced by an offender’s geographic setting. These results also have strategic significance in the formulation of policies that prescribe the assembly and processing of suspect lists and serve as the basis for geographic profiling based on a single incident.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.