Crime analysis mapping in the UK: a GIS analysis of burglaries in Leicestershire
Paper
Paper/Presentation Title | Crime analysis mapping in the UK: a GIS analysis of burglaries in Leicestershire |
---|---|
Presentation Type | Paper |
Authors | |
Author | Burnham, Jahnavi |
Editors | Moore, Antoni, Whyte, Brendan and Drecki, Igor |
Journal or Proceedings Title | Proceedings of the 42nd Australian and New Zealand Map Society Conference (GeoCart 2014) |
Number of Pages | 8 |
Year | 2014 |
Place of Publication | Auckland, New Zealand |
ISBN | 9780473298722 |
Conference/Event | 42nd Australian and New Zealand Map Society Conference (GeoCart 2014): Cartographic Journaeys through Space and Time |
Event Details | 42nd Australian and New Zealand Map Society Conference (GeoCart 2014): Cartographic Journaeys through Space and Time Event Date 03 to end of 05 Sep 2014 Event Location Auckland, New Zealand |
Abstract | Crime mapping studies have a history of more than 150 years. However, in the past, studies on Crime Analysis mapping have advanced due to the advent of GIS. GIS gives an array of suitable capabilities for crime analysis mapping. The present study utilises GIS to examine the relationships between burglaries and the socio-demographic characteristics in the context of Leicestershire County, UK, with a hypothesis that the socio-economic status can influence the crime patterns and crime rate of particular area. The factors such as population density, unemployment, and single households are considered for this study. The other factors such as types of houses, occupancy and tenure/ownership are also investigated. Using the regression analysis models - Geographically Weighted Regression (GWR) and Ordinary Least-Squares (OLS), the variations in the relationships are examined. The local and global significant variables are successfully identified and mapped. These variables are both locally and globally significant. The practical implication of the regression analysis techniques is that, by exploring the local processes that drive crime levels it is possible to implement crime prevention policies in different locations. |
Keywords | crime mapping; GIS; geographically weighted regression; ordinary least squares regression; socio-economic characteristics |
ANZSRC Field of Research 2020 | 490501. Applied statistics |
440211. Police administration, procedures and practice | |
401302. Geospatial information systems and geospatial data modelling | |
Public Notes | © New Zealand Cartographic Society Inc 2014. Permanent restricted access to published version due to publisher copyright policy. |
Byline Affiliations | Faculty of Health, Engineering and Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2yv4/crime-analysis-mapping-in-the-uk-a-gis-analysis-of-burglaries-in-leicestershire
1874
total views69
total downloads0
views this month0
downloads this month