Exploratory and inferential methods for spatio-temporal analysis of residential fire clustering in urban areas

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Date

2013-05-01

Author

CEYHAN, ELVAN
ERTUĞAY, KIVANÇ
Duzgun, Sebnem

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The spatio-temporal analysis of residential fires could allow decision makers to plan effective resource allocations in fire management according to fire clustering levels in space and time. In this study, we provide guidelines for the use of various methods in detecting the differences in clustering patterns of fire and non-fire (i.e., background residential) locations and how these patterns change over time. As a preliminary analysis step, various exploratory data analysis methods, such as, intensity plots (i.e., kernel density estimates) are used. Moreover, the use of Diggle's-function (a second order analysis technique) is proposed for detecting the clustering of residential fire locations (if any) and whether there is additional clustering (or regularity) in the locations of the fires compared to background residential pattern. A test for trend over time (in years, months, and weeks) of the fire location patterns are provided with a space-time interaction analysis by the spatio-temporal-function. Residential fire data from Cankaya Municipality of Ankara, Turkey is used as an illustrative example. The presented methodology is also applicable to residential fire data from similar urban settings.

Subject Keywords

General Physics and Astronomy, General Materials Science, General Chemistry, Safety, Risk, Reliability and Quality

URI

https://hdl.handle.net/11511/66957

Journal

FIRE SAFETY JOURNAL

DOI

https://doi.org/10.1016/j.firesaf.2013.01.024

Collections

Department of Mathematics, Article

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Citation Formats

E. CEYHAN, K. ERTUĞAY, and S. Duzgun, “Exploratory and inferential methods for spatio-temporal analysis of residential fire clustering in urban areas,” FIRE SAFETY JOURNAL, pp. 226–239, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66957.