JSM 2004 - Toronto

Abstract #300747

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Activity Number: 146
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #300747
Title: Exploring Lightning and Fire Ignition Data as Point Processes
Author(s): Willard J. Braun*+
Companies: University of Western Ontario
Address: Dept. of Statistical and Actuarial Sciences, London, ON, N6A 5B7, Canada
Keywords: lightning ; forest fires ; intensity ; exploratory data analysis ; data-sharpening
Abstract:

Lightning accounts for a high proportion of forest fires that cause substantial damage. Efforts are under way in the forest fire research community to better understand the relationship between lightning and fire ignition. Statistical models, such as those based on regression or generalized linear models, are being applied to large amounts of data on lightning strikes and fire ignitions. This talk will describe attempts to understand these data as point processes. It will attempt to answer some very basic questions. For example, is a Poisson cluster process model useful for modeling lightning strikes in a district? If so, what are the clusters, and how can they be identified? Once identified, what can we say about the spatial pattern of the lightning strikes in such a cluster? Viewing the lightning cluster centers, rain occurrence, and fire ignitions in the same district as temporal processes, can we use intensity functions and the notion of coherence to study the relationships among these processes?


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