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Activity Number:
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532
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #303894 |
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Title:
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Statistical Tools for Evaluating Spatial Seasonal Fire Potential Indices
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Author(s):
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Cindy S. Leary*+ and Jonathan M. Graham and Patricia L. Andrews and William M. Jolly
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Companies:
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University of Montana and University of Montana and USDA Forest Service and USDA Forest Service
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Address:
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Dept. of Mathematical Sciences, Missoula, MT, 59812,
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Keywords:
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Fire Potential Indices ; Spatial Correlation ; Spatial Scale ; Partial Mantel Test
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Abstract:
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Wildland fire managers have access to many spatial seasonal fire potential indices. Such indices are developed from satellite data and gridded weather models. Large diversity in landscapes around the country means different fire potential indices may be more informative in some vegetation types than in others. Evaluating a fire potential index is the process of comparing fire history with a map of fire potential readings. Methods developed to date have included both model and non-model-based techniques, but few have attempted to explicitly account for the spatial and temporal correlation present among the fire potential readings and the fire history observations. We present the use of a randomization method, a percentile method, and the Partial Mantel Test. For each of these methods, we also address the issue of spatial scale by considering multiple spatial resolutions of the data.
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