Abstract
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.
Original language | English |
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Pages (from-to) | 841-858 |
Journal | International journal of geographical information science |
Volume | 24 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2010 |
Keywords
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