Next Article in Journal
A Content-Based Remote Sensing Image Change Information Retrieval Model
Next Article in Special Issue
Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data
Previous Article in Journal
Overview of the OGC CDB Standard for 3D Synthetic Environment Modeling and Simulation
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(10), 307; doi:10.3390/ijgi6100307

The Local Colocation Patterns of Crime and Land-Use Features in Wuhan, China

1
,
1,2
,
3
and
1,2,4,*
1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
3
Department of Geography, Kent State University, Kent, OH 44242-0001, USA
4
Key Laboratory of Police Geographic Information Technology, Ministry of Public Security, Changzhou 213022, China
*
Author to whom correspondence should be addressed.
Received: 22 August 2017 / Revised: 25 September 2017 / Accepted: 16 October 2017 / Published: 17 October 2017
(This article belongs to the Special Issue Place-Based Research in GIScience and Geoinformatics)
View Full-Text   |   Download PDF [1915 KB, uploaded 25 October 2017]   |  

Abstract

Most studies of spatial colocation patterns of crime and land-use features in geographical information science and environmental criminology employ global measures, potentially obscuring spatial inhomogeneity. This study investigated the relationships of three types of crime with 22 types of land-use in Wuhan, China. First, global colocation patterns were examined. Then, local colocation patterns were examined based on the recently-proposed local colocation quotient, followed by a detailed comparison of the results. Different types of crimes were encouraged or discouraged by different types of land-use features with varying intensity, and the local colocation patterns demonstrated spatial inhomogeneity. View Full-Text
Keywords: crime; land-use feature; colocation; spatial inhomogeneity crime; land-use feature; colocation; spatial inhomogeneity
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Yue, H.; Zhu, X.; Ye, X.; Guo, W. The Local Colocation Patterns of Crime and Land-Use Features in Wuhan, China. ISPRS Int. J. Geo-Inf. 2017, 6, 307.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top