Spatio-temporal Analysis of Forest Fires in Portugal

Detalhes bibliográficos
Autor(a) principal: Silva, Giovani Loiola
Data de Publicação: 2011
Outros Autores: Dias, Maria Inês
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/10429
Resumo: In the last decade, forest fires have become a natural disaster in Portugal, causing great forest devastation, leading to both economic and environmental losses and putting at risk populations and the livelihoods of the forest itself. In this work, we present Bayesian hierarchical models to analyze spatio-temporal fire data on the proportion of burned area in Portugal, by municipalities and over three decades. Mixture of distributions was employed to model jointly the proportion of area burned and the excess of no burned area for early years. For getting estimates of the model parameters, we used Monte Carlo Markov chain methods.
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spelling Spatio-temporal Analysis of Forest Fires in PortugalForest firesSpatio-temporal dataBayesian analysisIn the last decade, forest fires have become a natural disaster in Portugal, causing great forest devastation, leading to both economic and environmental losses and putting at risk populations and the livelihoods of the forest itself. In this work, we present Bayesian hierarchical models to analyze spatio-temporal fire data on the proportion of burned area in Portugal, by municipalities and over three decades. Mixture of distributions was employed to model jointly the proportion of area burned and the excess of no burned area for early years. For getting estimates of the model parameters, we used Monte Carlo Markov chain methods.2014-01-30T14:27:59Z2014-01-302011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/10429http://hdl.handle.net/10174/10429porSilva, G.L. and Dias M.I. (2011). Spatio-temporal Analysis of Forest Fires in Portugal. In Proceedings of XIII Spanish Biometry Conference and III Ibero-American Biometry Meeting, Barcelona - Spain, September 7-9, 2011 (electronic edition)ndmisd@uevora.ptProceedings of XIII Spanish Biometry Conference and III Ibero-American Biometry Meeting336Silva, Giovani LoiolaDias, Maria Inêsinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:53:11Zoai:dspace.uevora.pt:10174/10429Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:04:16.613568Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Spatio-temporal Analysis of Forest Fires in Portugal
title Spatio-temporal Analysis of Forest Fires in Portugal
spellingShingle Spatio-temporal Analysis of Forest Fires in Portugal
Silva, Giovani Loiola
Forest fires
Spatio-temporal data
Bayesian analysis
title_short Spatio-temporal Analysis of Forest Fires in Portugal
title_full Spatio-temporal Analysis of Forest Fires in Portugal
title_fullStr Spatio-temporal Analysis of Forest Fires in Portugal
title_full_unstemmed Spatio-temporal Analysis of Forest Fires in Portugal
title_sort Spatio-temporal Analysis of Forest Fires in Portugal
author Silva, Giovani Loiola
author_facet Silva, Giovani Loiola
Dias, Maria Inês
author_role author
author2 Dias, Maria Inês
author2_role author
dc.contributor.author.fl_str_mv Silva, Giovani Loiola
Dias, Maria Inês
dc.subject.por.fl_str_mv Forest fires
Spatio-temporal data
Bayesian analysis
topic Forest fires
Spatio-temporal data
Bayesian analysis
description In the last decade, forest fires have become a natural disaster in Portugal, causing great forest devastation, leading to both economic and environmental losses and putting at risk populations and the livelihoods of the forest itself. In this work, we present Bayesian hierarchical models to analyze spatio-temporal fire data on the proportion of burned area in Portugal, by municipalities and over three decades. Mixture of distributions was employed to model jointly the proportion of area burned and the excess of no burned area for early years. For getting estimates of the model parameters, we used Monte Carlo Markov chain methods.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01T00:00:00Z
2014-01-30T14:27:59Z
2014-01-30
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/10429
http://hdl.handle.net/10174/10429
url http://hdl.handle.net/10174/10429
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Silva, G.L. and Dias M.I. (2011). Spatio-temporal Analysis of Forest Fires in Portugal. In Proceedings of XIII Spanish Biometry Conference and III Ibero-American Biometry Meeting, Barcelona - Spain, September 7-9, 2011 (electronic edition)
nd
misd@uevora.pt
Proceedings of XIII Spanish Biometry Conference and III Ibero-American Biometry Meeting
336
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