@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 = "An user-friendly Python application for exploratory and structural 
                         spatial dependence analysis for sample points of spatial 
                         attributes",
            booktitle = "Anais... do 20º 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, 20. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "This article describes the functionalities and implementation 
                         details 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. 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 semivariograms. The 
                         functionalities of the developed application are illustrated with 
                         a set of real elevation data sampled in a region of 
                         Jacare{\'{\i}} city of S{\~a}o Paulo state, Brazil.",
  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/3UFDD9H",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFDD9H",
           targetfile = "25-35.pdf",
        urlaccessdate = "26 abr. 2024"
}