@InProceedings{JorgeCostSant:2020:GeCoNe,
               author = "Jorge, Aurelienne Aparecida Souza and Costa, Izabelly Carvalho da 
                         and Santos, Leonardo B. L.",
          affiliation = "{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 = "Geographical Complex Networks applied to describe meteorological 
                         data",
            booktitle = "Anais...",
                 year = "2020",
               editor = "Carneiro, Tiago Garcia de Senna (UFOP) and Felgueiras, Carlos 
                         Alberto (INPE)",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 21. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "banon.",
             abstract = "ComplexNetworkshavebeenwidelyappliedtoclimatedataanalysis, 
                         identifying relations and patterns in the atmosphere on a 
                         long-term scale. How- ever, a few investigations have made use of 
                         Complex Networks to study meteo- rology (dealing with short-term 
                         changes in the atmosphere). With this in mind, the purpose of the 
                         present work is to make some progress in the spatial anal- ysis of 
                         metrics in meteorological networks, specifically in precipitation 
                         events. We present some results for a study case comprising the 
                         Tamanduate \́\ı basin, in which we could analyze the 
                         spatial dependence intrinsic in the network struc- ture.",
  conference-location = "On-line",
      conference-year = "30 nov. a 03 dez. 2020",
                 issn = "2179-4847",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/43PQU8E",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/43PQU8E",
           targetfile = "s17.pdf",
                 type = "Geoinforma{\c{c}}{\~a}o",
        urlaccessdate = "28 abr. 2024"
}