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dc.contributor.authorGARGIULO, F.pt_BR
dc.contributor.authorTERNES, S.pt_BR
dc.contributor.authorHUET, S.pt_BR
dc.contributor.authorDEFFUANT, G.pt_BR
dc.contributor.otherFLORIANA GARGIULO, LISC/CEMAGREF; SONIA TERNES, CNPTIA, LISC/CEMAGREF; SYLVIE HUET, LISC/CEMAGREF; GUILLAUME DEFFUANT, LISC/CEMAGREF.pt_BR
dc.date.accessioned2011-04-09T17:47:41Z-
dc.date.available2011-04-09T17:47:41Z-
dc.date.created2010-10-13pt_BR
dc.date.issued2010pt_BR
dc.identifier.other15168pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/864056pt_BR
dc.descriptionBackground. Many different simulation frameworks, in different topics, need to treat realistic datasets to initialize and calibrate the system. A precise reproduction of initial states is extremely important to obtain reliable forecast from the model. Methodology/Principal Findings. This paper proposes an algorithm to create an artificial population where individuals are described by their age, and are gathered in households respecting a variety of statistical constraints (distribution of household types, sizes, age of household head, difference of age between partners and among parents and children). Such a population is often the initial state of microsimulation or (agent) individual-based models. To get a realistic distribution of households is often very important, because this distribution has an impact on the demographic evolution. Usual techniques from microsimulation approach cross different sources of aggregated data for generating individuals. In our case the number of combinations of different households (types, sizes, age of participants) makes it computationally difficult to use directly such methods. Hence we developed a specific algorithm to make the problem more easily tractable. Conclusions/Significance. We generate the populations of two pilot municipalities in Auvergne region (France) to illustrate the approach. The generated populations show a good agreement with the available statistical datasets (not used for the generation) and are obtained in a reasonable computational time.pt_BR
dc.description.uribitstream/item/23288/1/journal.pone.0008828.pdfpt_BR
dc.languageenpt_BR
dc.language.isoengeng
dc.publisherPLoS ONE, San Francisco, v. 5, n. 1, 2010.pt_BR
dc.relation.ispartofEmbrapa Informática Agropecuária - Artigo em periódico indexado (ALICE)pt_BR
dc.rightsopenAccesspt_BR
dc.subjectAlgoritmopt_BR
dc.subjectPopulação x tarefas do larpt_BR
dc.subjectProjeto PRIMApt_BR
dc.subjectAlgorithmpt_BR
dc.subjectPrototypical Policy Impacts on Multifunctional Activities - PRIMApt_BR
dc.subjectSimulationpt_BR
dc.subjectPopulation distributed in householdspt_BR
dc.subjectArtificial populationpt_BR
dc.subjectSynthetic population.pt_BR
dc.titleAn iterative approach for generating statistically realistic populations of households.pt_BR
dc.typeArtigo em periódico indexado (ALICE)pt_BR
dc.date.updated2011-04-10T11:11:11Zpt_BR
dc.subject.thesagroSimulação.pt_BR
dc.format.extent2p. 1-9.pt_BR
dc.ainfo.id864056pt_BR
dc.ainfo.lastupdate2010-11-05pt_BR
dc.identifier.doi10.1371/journal.pone.0008828.t002pt_BR
Appears in Collections:Artigo em periódico indexado (CNPTIA)

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