Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility
AbstractIn this study, the generalized linear model (GLM) and four ensemble methods (partial least squares (PLS), boosting, bagging, and Bayesian) were applied to predict forest fire hazard in the Chalus Rood watershed in the Mazandaran Province, Iran. Data from 108 historical forest fire events col...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Geomatics, Natural Hazards & Risk |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2023.2206512 |