A Bayesian Modelling of Wildfires in Portugal

In the last decade wildfires became a serious problem in Portugal due to different issues such as climatic characteristics and nature of Portuguese forest. In order to analyse wildfire data, we employ beta regression for modelling the proportion of burned forest area, under a Bayesian perspective. O...

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Detalhes bibliográficos
Autor principal: Silva, Giovani L. (author)
Outros Autores: Soares, Paulo (author), Marques, Susete (author), Dias, Inês M. (author), Oliveira, Manuela M. (author), Borges, Guilherme J. (author)
Formato: bookPart
Idioma:eng
Publicado em: 2016
Assuntos:
Bayesian Modelling
Wildfires
Texto completo:http://hdl.handle.net/10174/17270
País:Portugal
Oai:oai:dspace.uevora.pt:10174/17270
Descrição
Resumo:In the last decade wildfires became a serious problem in Portugal due to different issues such as climatic characteristics and nature of Portuguese forest. In order to analyse wildfire data, we employ beta regression for modelling the proportion of burned forest area, under a Bayesian perspective. Our main goal is to find out fire risk factors that influence the proportion of area burned and what may make a forest type susceptible or resistant to fire. Then, we analyse wildfire data in Portugal during 1990-1994 through Bayesian beta models th

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