Evaluation and validation of multiple predictive models applied to post-wildfire debris-flow hazards
The combination of greater wildfire frequency and expansion of populations into the wildland-urban interface drives a need for accurate prediction of landslides and debris-flow hazards. Statistical methods are frequently used to rapidly assess landslide and debris-flow hazards for emergency planning and risk assessment. The U.S. Geological Survey is working to improve empirical logistic regression models for post-wildfire debris-flow probability and expand the regions in which they can be applied. Numerous methods have been used to evaluate predictive logistic regression models and there is ...
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