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Cause-specific Spatial Point Pattern Analysis of Forest Fire in Korea.

Cause-specific Spatial Point Pattern Analysis of Forest Fire in Korea. 
Hanbin Kwak¹, Woo kyun Lee¹*,Si Young Lee², Myung Soo Won³, Kyo sang Koo³,
 Byungdoo Lee³ and Myung Bo Lee³
ABSTRACT: Forest fire occurence in korea is highly related to human activities and spatial distribution shows a strong spatial dependency with cluster pattern. in this study, we analyzed spatial distibutin pattern of forest fire with point pattern analysis considering spatial dependency. Distributional pattern was derived from Ripley's K-function according to causes and distances. Spatial clusterd intensity was found out using Kenel intensity estimation. As a result, foresst fire in korea show clusterd pattern, although the degree of clustering for each cause are different. Futhermore, spatial clustering pattern can be classified into two groups in terms of degrees of clustering and distantce. The first group shows the national-wide cluster pattern related to the human activity near forest, such as human-induced accidental fire in mountain and field incineration. Another group shows localized cluster pattern which is clusterd within a short distance. It is associated with the smoker fire, arson, accidental by children. the range of localized clustering was 30Km. Beyond of this range, the patterns of forest fire became random distribution gradually. Kernel intensity analysis showed that the latter group, which have localized cluster pattern, was occurend in near Seoul with high densed population
Keywords: spatial distribution, forest fire, point pattern, spatial analysis