A combined statistical and machine learning approach for spatial prediction of extreme wildfire freq...
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
About this item
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Publisher
New York: Springer US
Journal title
Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
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, bivariate, sparse spatial mo...
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Full title
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Authors, Artists and Contributors
Author / Creator
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TN_cdi_proquest_journals_2803102077
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2803102077
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ISSN
1386-1999
E-ISSN
1572-915X
DOI
10.1007/s10687-022-00460-8
