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Application of Fractional Techniques in the Analysis of Forest Fires

dc.contributor.authorLopes, António M.
dc.contributor.authorMachado, J.A.Tenreiro
dc.date.accessioned2017-01-26T15:03:19Z
dc.date.embargo2117-10
dc.date.issued2016-10
dc.description.abstractIn 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1515/ijnsns-2016-0026pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/9447
dc.language.isoengpt_PT
dc.publisherDe Gruyterpt_PT
dc.relation.ispartofseriesInternational Journal of Nonlinear Sciences and Numerical Simulation;Vol. 17, Issue 7-8
dc.relation.publisherversionhttps://www.degruyter.com/view/j/ijnsns.2016.17.issue-7-8/ijnsns-2016-0026/ijnsns-2016-0026.xmlpt_PT
dc.subjectFractional Fourier transformpt_PT
dc.subjectFractal dimensionpt_PT
dc.subjectEntropypt_PT
dc.subjectFractional calculuspt_PT
dc.subjectForest firespt_PT
dc.subjectComplex phenomenapt_PT
dc.titleApplication of Fractional Techniques in the Analysis of Forest Firespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage390pt_PT
oaire.citation.issue7-8pt_PT
oaire.citation.startPage381pt_PT
oaire.citation.titleInternational Journal of Nonlinear Sciences and Numerical Simulationpt_PT
oaire.citation.volume17pt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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