Next Article in Journal
Representing Time-Dynamic Geospatial Objects on Virtual Globes Using CZML—Part II: Impact, Comparison, and Future Developments
Previous Article in Journal
Do Charitable Foundations Spend Money Where People Need It Most? A Spatial Analysis of China
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2018, 7(3), 101; doi:10.3390/ijgi7030101

Investigating the Influences of Tree Coverage and Road Density on Property Crime

Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu 610059, China
Mobile Sensing and Geodata Science Lab, Department of Geography and Environmental Management, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada
Author to whom correspondence should be addressed.
Received: 22 December 2017 / Revised: 18 February 2018 / Accepted: 12 March 2018 / Published: 14 March 2018
View Full-Text   |   Download PDF [1735 KB, uploaded 14 March 2018]   |  


With the development of Geographic Information Systems (GIS), crime mapping has become an effective approach for investigating the spatial pattern of crime in a defined area. Understanding the relationship between crime and its surrounding environment reveals possible strategies for reducing crime in a neighborhood. The relationship between vegetation density and crime has long been under debate. The convenience of a road network is another important factor that can influence a criminal’s selection of locations. This research is conducted to investigate the correlations between tree coverage and property crime, and road density and property crime in the City of Vancouver. High spatial resolution airborne LiDAR data and road network data collected in 2013 were used to extract tree covered areas for cross-sectional analysis. The independent variables were inserted into Ordinary Least-Squares (OLS) regression, Spatial Lag regression, and Geographically Weighted Regression (GWR) models to examine their relationships to property crime rates. The results of the cross-sectional analysis provide statistical evidence that there are negative correlations between property crime rates and both tree coverage and road density, with the stronger correlations occurring around Downtown Vancouver. View Full-Text
Keywords: crime mapping; GIS; urban vegetation; road density; spatial lag; geographically weighted regression crime mapping; GIS; urban vegetation; road density; spatial lag; geographically weighted regression

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

Ye, C.; Chen, Y.; Li, J. Investigating the Influences of Tree Coverage and Road Density on Property Crime. ISPRS Int. J. Geo-Inf. 2018, 7, 101.

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



[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