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Title: A Bayesian Modelling of Wildfires in Portugal
Authors: Silva, Giovani L.
Soares, Paulo
Marques, Susete
Dias, Inês M.
Oliveira, Manuela M.
Borges, Guilherme J.
Editors: Bourguignon, J-P
Jeltsch, R.
Pinto, A. A.
Viana, M.
Keywords: Bayesian Modelling
Issue Date: 9-Sep-2015
Publisher: In: Bourguignon
Citation: J.-P. Jeltsch,R., Pinto, A. A. and Viana, M. (Eds) Dynamics, Games and Science, Springer CIM Series in Mathematical Sciences 1: 723-733
Abstract: 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
ISBN: 978-3-319-16118-1
Type: bookPart
Appears in Collections:CIMA - Publicações - Capítulos de Livros

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