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@InProceedings{FelgueirasOrtiCama:2019:UsPyAp,
               author = "Felgueiras, Carlos Alberto and Ortiz, Jussara de Oliveira and 
                         Camargo, Eduardo Celso Gerbi",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "PyESSDA - An User-friendly Python Application for Exploratory and 
                         Structural Spatial Dependence Analysis for Sample Points of 
                         Spatial Attributes",
            booktitle = "Anais... do 20 Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
                 year = "2019",
               editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "This article describes the functionalities, for demonstration 
                         purposes, of the PyESSDA, an easy to use Python application, that 
                         allows for performing exploratory and structural spatial 
                         dependence analysis on a set of sample points representing 
                         geographic attributes. The PyESSDA exploratory analysis makes it 
                         possible to view the sample set in 2D and 3D projections, to 
                         report its univariate statistics and to generate its histogram. A 
                         semivariogram map can be generated to evaluate the isotropic or 
                         anisotropic spatial behavior of the investigated attribute. The 
                         analyzes of spatial dependencies, for determining the attribute 
                         spatial correlation structures, comprise the interactive creation 
                         of experimental and mathematical, or conceptual, semivariograms.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "11 -13 nov. 2019",
                 issn = "2179-4847",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3UFEHU5",
                  url = "http://urlib.net/rep/8JMKD3MGPDW34R/3UFEHU5",
           targetfile = "307-309.pdf",
        urlaccessdate = "19 jan. 2020"
}


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