๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Efficacy of standard deviational ellipses in the application of criminal geographic profiling

โœ Scribed by Joshua Kent; Michael Leitner


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
153 KB
Volume
4
Category
Article
ISSN
1544-4759

No coin nor oath required. For personal study only.

โœฆ Synopsis


Abstract

The premise for this study is that the physical and cultural landscape has a deterministic effect on the location and distribution of serial crime. As a consequence, the distribution of linked crime scenes should exhibit a shape and orientation that is consistent with the underlying landscape. Geographic Profiling models that are able to account for these effects will provide more accurate results than those models that do not. Utilizing basic geographic principles of central tendency and spatial diffusion, this research first analyzed the output of circular and elliptical profile models generated for 30 serial burglaries (nโ€‰=โ€‰164) and 67 serial robberies (nโ€‰=โ€‰370) in Baltimore, Maryland between 1994 and 1997. A comparative analysis of the model output reveals that the Standard Deviational Ellipse is significantly (pโ€‰=โ€‰0.000) better able to predict the home location of a serial offender than profiles generated from circles. Next, the relationship between the orientation of elliptical profiles and the mean linear orientation of the corresponding landscape was assessed to reveal a moderate but significant correlation (rโ€‰=โ€‰0.511, pโ€‰<โ€‰0.001). Together, these findings demonstrate that landscape does impact the locations of crime, and is a measurable parameter that can improve the efficacy of geographic profiling. Copyright ยฉ 2008 John Wiley & Sons, Ltd.


๐Ÿ“œ SIMILAR VOLUMES


A comparison of the efficacy of differen
โœ David Canter; Laura Hammond ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 157 KB

Many studies have shown that distributions of the distances that offenders travel in the commission of their offences are typically characterised by a decay function. However, there are few empirical comparisons of the different mathematical functions which may characterise such distributions. Furth