Brunsdon, Chris and Corcoran, Jon (2006) Using circular statistics to analyse time patterns in crime incidence. Computers, Environment and Urban Systems, 30 (3). pp. 300-319. ISSN 0198-9715

Preview

Download (3MB) | Preview

Abstract

A set of techniques referred to as circular statistics has been developed for the analysis of direc- tional and orientational data. The unit of measure for such data is angular (usually in either degrees or radians), and the statistical distributions underlying the techniques are characterised by their cyc- lic nature—for example, angles of 359.9 � are considered close to angles of 0 � . In this paper, we assert that such approaches can be easily adapted to analyse time-of-day and time-of-week data, and in particular daily cycles in the numbers of incidents reported to the police. We begin the paper by describing circular statistics. We then discuss how these may be modified, and demonstrate the approach with some examples for reported incidents in the Cardiff area of Wales.

Item Type:	Article
Keywords:	Circular statistics; Public disorder; Kernel density;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	6151
Identification Number:	https://doi.org/10.1016/j.compenvurbsys.2005.11.001
Depositing User:	Prof. Chris Brunsdon
Date Deposited:	26 May 2015 14:55
Journal or Publication Title:	Computers, Environment and Urban Systems
Publisher:	Elsevier
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads