Application of Fractional Techniques in the Analysis of Forest Fires

Detalhes bibliográficos
Autor(a) principal: Lopes, António M.
Data de Publicação: 2016
Outros Autores: Machado, J.A.Tenreiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/9447
Resumo: In this paper we study the global behavior of forest fires (FFs) in the Continental United States for the period 1984–2013. The data are obtained from a public domain catalog maintained by the Monitoring Trends in Burn Severity project. First we adopt clustering analysis to reduce the information dimensionality. Then we adopt mathematical tools commonly used in the analysis of dynamical systems, namely fractal dimension, entropy and fractional Fourier transform. The fractional techniques unveil FF patterns embedded in the data.
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spelling Application of Fractional Techniques in the Analysis of Forest FiresFractional Fourier transformFractal dimensionEntropyFractional calculusForest firesComplex phenomenaIn this paper we study the global behavior of forest fires (FFs) in the Continental United States for the period 1984–2013. The data are obtained from a public domain catalog maintained by the Monitoring Trends in Burn Severity project. First we adopt clustering analysis to reduce the information dimensionality. Then we adopt mathematical tools commonly used in the analysis of dynamical systems, namely fractal dimension, entropy and fractional Fourier transform. The fractional techniques unveil FF patterns embedded in the data.De GruyterRepositório Científico do Instituto Politécnico do PortoLopes, António M.Machado, J.A.Tenreiro2016-102117-10-01T00:00:00Z2016-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/9447eng10.1515/ijnsns-2016-0026metadata only accessinfo: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:RCAAP2023-03-13T12:50:49Zoai:recipp.ipp.pt:10400.22/9447Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:30:02.297462Repositório 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 Application of Fractional Techniques in the Analysis of Forest Fires
title Application of Fractional Techniques in the Analysis of Forest Fires
spellingShingle Application of Fractional Techniques in the Analysis of Forest Fires
Lopes, António M.
Fractional Fourier transform
Fractal dimension
Entropy
Fractional calculus
Forest fires
Complex phenomena
title_short Application of Fractional Techniques in the Analysis of Forest Fires
title_full Application of Fractional Techniques in the Analysis of Forest Fires
title_fullStr Application of Fractional Techniques in the Analysis of Forest Fires
title_full_unstemmed Application of Fractional Techniques in the Analysis of Forest Fires
title_sort Application of Fractional Techniques in the Analysis of Forest Fires
author Lopes, António M.
author_facet Lopes, António M.
Machado, J.A.Tenreiro
author_role author
author2 Machado, J.A.Tenreiro
author2_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Lopes, António M.
Machado, J.A.Tenreiro
dc.subject.por.fl_str_mv Fractional Fourier transform
Fractal dimension
Entropy
Fractional calculus
Forest fires
Complex phenomena
topic Fractional Fourier transform
Fractal dimension
Entropy
Fractional calculus
Forest fires
Complex phenomena
description In this paper we study the global behavior of forest fires (FFs) in the Continental United States for the period 1984–2013. The data are obtained from a public domain catalog maintained by the Monitoring Trends in Burn Severity project. First we adopt clustering analysis to reduce the information dimensionality. Then we adopt mathematical tools commonly used in the analysis of dynamical systems, namely fractal dimension, entropy and fractional Fourier transform. The fractional techniques unveil FF patterns embedded in the data.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
2016-10-01T00:00:00Z
2117-10-01T00:00:00Z
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dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv De Gruyter
publisher.none.fl_str_mv De Gruyter
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