Title:	SELECTION OF VULNERABLE FIREFIGHTING AREAS USING SPATIAL REGRESSION ANALYSIS MODEL
Author(s):	Yonghee Shin, Jiyoung Kim and Kiyun Yu
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	Spatial Regression Model, Spatial Data Mining, Spatial Autocorrelation, Quantification of Spatial Data
Type:	Short Paper
First Page:	311
Last Page:	314
Language:	English
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Paper Abstract:	In this study, fire incident damage data is considered as a dependent variable of a spatial regression model. First, we investigate previous fire case analysis studies and select the factors that affect firefighting activity. Next, the spatial regression model is estimated by performing spatial regression analysis with these factors as numerical values appropriate for target spatial unit. Finally, we use a spatial regression analysis model to select fire-vulnerable areas.
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