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@InProceedings{SilvaValeJureSant:2016:CoNeGe,
               author = "Silva, Beatriz Marques Moreira da and Valerio, Lucas de Oliveira 
                         and Jurema, Maria Carolina Barbosa and Santos, Leonardo B. L.",
          affiliation = "{Faculdade de Tecnologia Prof. Jessen Vidal (FATEC)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (Cemaden)}",
                title = "Complex network into geographical information systems",
                 year = "2016",
         organization = "International Conference on Nonlinear Science and Complexity, 6.",
             keywords = "Complex Networks, Geographic Information Systems, Urban mobility, 
                         Hydrography.",
             abstract = "Geographic Information Systems allow geographic data visualization 
                         and handling of geographical data, as traffic zone vectors 
                         (polygons adopted as a unit of urban mobility study) and 
                         hydrography (set of water courses in a region). The data structure 
                         representation of complex networks (set of nodes and edges 
                         representing a complex system) can be made considering, for 
                         example, the traffic zone centroids as the nodes, connected each 
                         other in accord of people flow, and rivers headwater and outlet as 
                         the nodes and water courses as edges. The current work shows a 
                         computational schema to a complex network representation in a 
                         Geographic Information System.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "16-20 May",
             language = "en",
           targetfile = "silva_complex.pdf",
        urlaccessdate = "27 abr. 2024"
}


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