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dc.contributor.authorGómez Mourelo, Pablo
dc.contributor.authorGinovart Gisbert, Marta
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III
dc.date.accessioned2014-10-02T17:02:29Z
dc.date.available2014-10-02T17:02:29Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationGómez-Mourelo, P.; Ginovart, M. A connection between discrete individual-based and continuous population-based models: A forest modelling case study. "Artificial Intelligence Research", 2013, vol. 2, núm. 2, p. 28-46.
dc.identifier.issn1927-6974
dc.identifier.urihttp://hdl.handle.net/2117/24214
dc.description.abstractModelling is perceived as a way of dealing with real life activities. The aim of this work is to compare two approaches to study forest dynamics, namely discrete individual-based and continuous population-based models, in order to contribute to an improvement in their use among researchers. An analysis of the strengths, weaknesses, opportunities and threats of the two different approaches, jointly with a mention of the state-of-the-art, allows us to illustrate this discussion. We will also provide a bridge or connection between these two modelling methodologies. This link will be developed in detail in a particular study case. Firstly, an individual-tree based model to deal with dynamics of forests is presented. Secondly, this model is scaled up to a system of partial differential equations, which represents the limiting behaviour of the individualbased model.
dc.format.extent19 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcshIndividual-based model
dc.subject.otherIndividual-based model
dc.subject.otherPopulation-based model
dc.subject.otherDiscrete versus continuous model
dc.subject.otherForest dynamics
dc.subject.otherTree population
dc.titleA connection between discrete individual-based and continuous population-based models: A forest modelling case study
dc.typeArticle
dc.subject.lemacAnàlisi espacial (Estadística)
dc.contributor.groupUniversitat Politècnica de Catalunya. SC-SIMBIO - Sistemes complexos. Simulació discreta de materials i de sistemes biològics
dc.identifier.doi10.5430/air.v2n2p28
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://dx.doi.org/10.5430/air.v2n2p28
dc.rights.accessOpen Access
drac.iddocument11500071
dc.description.versionPostprint (published version)
upcommons.citation.authorGómez-Mourelo, P.; Ginovart, M.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameArtificial Intelligence Research
upcommons.citation.volume2
upcommons.citation.number2
upcommons.citation.startingPage28
upcommons.citation.endingPage46


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