A Bayesian Modelling of Wildfires in Portugal

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dc.contributor.authorSilva, Giovani L.
dc.contributor.authorSoares, Paulo
dc.contributor.authorMarques, Susete
dc.contributor.authorDias, Inês M.
dc.contributor.authorOliveira, Manuela M.
dc.contributor.authorBorges, Guilherme J.
dc.contributor.editorBourguignon, J-P
dc.contributor.editorJeltsch, R.
dc.contributor.editorPinto, A. A.
dc.contributor.editorViana, M.
dc.date.accessioned2016-02-03T18:43:29Z
dc.date.available2016-02-03T18:43:29Z
dc.date.issued2015-09-09
dc.description.abstractIn 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 thpor
dc.identifier.authoremailgiovani.silva@tecnico.ulisboa.pt
dc.identifier.authoremailpaulo.soares@tecnico.ulisboa.pt
dc.identifier.authoremailsmarques@isa.ulisboa.pt
dc.identifier.authoremailmisd@uevora.pt
dc.identifier.authoremailmmo@uevora.pt
dc.identifier.authoremailjoseborges@isa.ulisboa.pt
dc.identifier.citationJ.-P. Jeltsch,R., Pinto, A. A. and Viana, M. (Eds) Dynamics, Games and Science, Springer CIM Series in Mathematical Sciences 1: 723-733por
dc.identifier.doi10.1007/978-3-319-16121-1_1por
dc.identifier.isbn978-3-319-16118-1
dc.identifier.scientificarea336por
dc.identifier.urihttp://www.springer.com/gp/book/9783319161174
dc.identifier.urihttp://hdl.handle.net/10174/17270
dc.language.isoengpor
dc.publisherIn: Bourguignonpor
dc.rightsopenAccesspor
dc.subjectBayesian Modellingpor
dc.subjectWildfirespor
dc.titleA Bayesian Modelling of Wildfires in Portugalpor
dc.typebookPartpor
degois.publication.firstPage723por
degois.publication.lastPage733por
degois.publication.titleDynamics, Games and Science, Springer CIM Series in Mathematical Sciencespor
degois.publication.volume1por

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