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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Bibliographic Details
Main Author: Silva, Giovani L. (author)
Other Authors: Soares, Paulo (author), Marques, Susete (author), Dias, Inês M. (author), Oliveira, Manuela M. (author), Borges, Guilherme J. (author)
Format: bookPart
Language:eng
Published: 2016
Subjects:
Bayesian Modelling
Wildfires
Online Access:http://hdl.handle.net/10174/17270
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/17270
Description
Summary: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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