Item: Application of Classification and Regression Trees: Selection of Avalanche Activity Indices at Mammoth Mountain
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Title: Application of Classification and Regression Trees: Selection of Avalanche Activity Indices at Mammoth Mountain
Proceedings: Proceedings of the 1994 International Snow Science Workshop, Snowbird, Utah, USA
Authors:
- Robert E. Davis
- Kelly Elder
Date: 1994
Abstract: We focus on the the importance of the parameters describing the degree of avalanche activity. Classification and regression trees were trained on weather, snow plot and avalanche occurrence observations from the Sierra Nevada, California, a maritime influenced region. Avalanche activity was characterized by the total number of releases, the sum of the sizes and the maximum size class. The number of cases for the data set was 482. We show that the accuracy of overall classification depended on which activity parameter was selected, while the ranking of the critical input variables remained identical. The probability of correct classification was the highest for the maximum size class, followed by the sum of the sizes, and the total number of releases."
Object ID: issw-1994-285-294.pdf
Language of Article: English
Presenter(s): Unknown
Keywords: regression trees, snow plot, hazard
Page Number(s): 285-294
Subjects: avalanche activity avalanche hazard avalanche release
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