| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6333115 | Science of The Total Environment | 2013 | 14 Pages |
Abstract
⺠The burned area in the Mediterranean EU was modeled by using the Canadian fire weather index. ⺠Machine learning techniques gave better results than classical regression analysis. ⺠A Multivariate Adaptive Regression Splines model (R2 0.75) was used for burned area projections in future weather conditions. ⺠In Mediterranean EU, 66% to 140% increases in burned areas are projected according to various scenarios.
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Authors
Giuseppe Amatulli, Andrea Camia, Jesús San-Miguel-Ayanz,