Spatio-temporal Analysis of Forest Fires in Portugal
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136527163326464 |