JSM 2005 - Toronto

Abstract #304646

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 108
Type: Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #304646
Title: Methods for Evaluating Spatial Fire Potential Indicators
Author(s): Jonathan Graham*+ and Patricia L. Andrews
Companies: University of Montana and U.S.D.A. Forest Service
Address: Department of Math Sciences, Missoula, MT, 59812, United States
Keywords: wildfire ; potential ; spatial ; autologistic ; Mantel
Abstract:

In the last 15-20 years, numerous indices have been developed at multiple spatial scales in an effort to measure wildfire potential based on telemetry data and other environmental information. Efforts to assess and compare these fire potential indicators have relied primarily on logistic models of fire events, correlative methods, and simple chi-square analyses. Such methods do not typically account for the inherent spatial correlation present in these index values and do not consider the effects of the spatial scale at which the index is measured. Using relative greenness (RG) and departure from average (DA) values derived from NDVI satellite data in the form of a lattice and the associated fire history point process for the state of Nevada between 1989 and 2000, spatially explicit methods of assessing these fire potential indicators were considered. Specifically, the use of autologistic models and the Mantel statistic for quantifying the association between a fire index and a corresponding fire history at multiple spatial scales will be presented.

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