Pinpointing spatiotemporal interactions in wildfire patterns
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The spatial and spatiotemporal patterns of wildfire incidence and their relationship to various geographical and environmental variables are analyzed. Such relationships may be treated as components in particular point process models for wildfire activity. We show some of the techniques for the analysis of point patterns that have become available due to recent developments in point process modeling software. These developments permit convenient exploratory data analysis, model fitting, and model assessment. The discussion of these techniques is conducted jointly with and in the context of the analyses of a collection of data sets which are of considerable interest in their own right. These data sets consist of the complete records of wildfires occurred in Catalonia (northeastern Spain) during the years 2004–2008.
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 Title
 Pinpointing spatiotemporal interactions in wildfire patterns
 Journal

Stochastic Environmental Research and Risk Assessment
Volume 26, Issue 8 , pp 11311150
 Cover Date
 20121201
 DOI
 10.1007/s004770120568y
 Print ISSN
 14363240
 Online ISSN
 14363259
 Publisher
 SpringerVerlag
 Additional Links
 Topics

 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Computational Intelligence
 Earth Sciences, general
 Probability Theory and Stochastic Processes
 Math. Appl. in Environmental Science
 Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
 Keywords

 Environmental covariates
 Intensity
 Secondorder characteristics
 Spatial and spatiotemporal point processes
 Wildfires
 Industry Sectors
 Authors
 Author Affiliations

 1. Department of Mathematics, Universitat Jaume I, Campus Riu Sec, 12071, Castellón, Spain
 2. Research Group on Statistics, Applied Economics and Health (GRECS), University of Girona, Girona, Spain
 3. CIBER of Epidemiology and Public Health (CIBERESP), Barcelona, Spain