Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/17270
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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
Wildfires |
| 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 |
| URI: | http://www.springer.com/gp/book/9783319161174
http://hdl.handle.net/10174/17270 |
| ISBN: | 978-3-319-16118-1 |
| Type: | bookPart |
| Appears in Collections: | CIMA - Publicações - Capítulos de Livros
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