2021
DOI: 10.48550/arxiv.2112.14920
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A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes

Abstract: Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge we propose a method based on statistics and machine learning for the spatial prediction of extreme wildfire frequencies and sizes. This method is tailored to handle large datasets, including missing observations. Our approach relies on a four-stage high-dimensional bivariate sparse spatial model for zero-inflated data, which is developed using stochastic partial differential equations (SPDE). In Stage 1, the observations are categorized in … Show more

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