Modeling spatio-temporal wildfire ignition point patterns

被引:0
|
作者
Amanda S. Hering
Cynthia L. Bell
Marc G. Genton
机构
[1] Texas A&M University,Department of Statistics
[2] University of Geneva,Department of Econometrics
关键词
Clustering; Diagnostics; Inhomogeneous; -function; Marked; Multitype; Point process; Residuals;
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学科分类号
摘要
We analyze and model the structure of spatio-temporal wildfire ignitions in the St. Johns River Water Management District in northeastern Florida. Previous studies, based on the K-function and an assumption of homogeneity, have shown that wildfire events occur in clusters. We revisit this analysis based on an inhomogeneous K-function and argue that clustering is less important than initially thought. We also use K-cross functions to study multitype point patterns, both under homogeneity and inhomogeneity assumptions, and reach similar conclusions as above regarding the amount of clustering. Of particular interest is our finding that prescribed burns seem not to reduce significantly the occurrence of wildfires in the current or subsequent year over this large geographical region. Finally, we describe various point pattern models for the location of wildfires and investigate their adequacy by means of recent residual diagnostics.
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页码:225 / 250
页数:25
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