Skip to main content

Identifying factors of influence in the spatial distribution of domestic fires

Buy Article:

$55.00 plus tax (Refund Policy)

Domestic fires at the city level, being causes for casualties and causing significant material damages, are stored as a point pattern in a GIS. In this paper we apply a statistical point pattern analysis to derive major causes from related layers of information. We fit a G-function to analyse neighbourhood relations and a Strauss process for inferring causal relations. Using open-source software we find significant differences in patterns and explaining factors between the different parts of the day, in particular for different building types and income groups. We conclude that a quantitative spatial model can be fitted and that this provides a useful opportunity for fire brigades to improve planning their efforts.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: G-function; domestic fires; non-stationary Strauss process; point pattern analysis

Document Type: Research Article

Affiliations: 1: Department of Surveying, Faculty of Engineering and Architecture, Helsinki University of Technology, Espoo, Finland 2: ITC International Institute for GeoInformation Science and Earth Observation, Enschede, The Netherlands

Publication date: 2010-06-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more