@InProceedings{FelgueirasCamaOrtiRosi:2012:UsSpUn,
               author = "Felgueiras, Carlos Alberto and Camargo, Eduardo Celso Gerbi and 
                         Ortiz, Jussara de Oliveira and Rosim, S{\'e}rgio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Using Spatial Uncertainties to Create Probability Maps for 
                         Continuous Attributes",
            booktitle = "Proceedings...",
                 year = "2012",
                pages = "299--304",
         organization = "International Symposium on Spatial Accuracy Assessment in Natural 
                         Resources and Environmental Sciences, 10.",
            publisher = "AGNUS",
                 note = "Setores de Atividade: Outras atividades profissionais, 
                         cient{\'{\i}}ficas e t{\'e}cnicas.",
             keywords = "uncertainty modeling, indicator geostatistics, kriging, 
                         simulation, probability maps.",
             abstract = "This work presents a methodology to create probability maps for 
                         spatial continuous attributes based on indicator geostatistical 
                         approaches. The indicator kriging and the indication simulation 
                         approaches can be used to infer approximations of conditional 
                         cumulative distribution functions (cdf) for continuous attributes 
                         at different spatial locations of interest. The cdfs are 
                         conditioned to a set of spatial points containing continuous 
                         attribute values and sampled in a geographic region of interest. 
                         The conditional cdfs are then used to infer probability maps of 
                         exceeding, or being smaller than, a given threshold, or a 
                         predefined attribute, value. In this work it was used an elevation 
                         data set sampled in Florian{\'o}polis Island, the capital of 
                         Brazilian state Santa Catarina, as a case study to illustrate the 
                         methodology to create such probability maps.",
  conference-location = "Florian{\'o}polis, SC, Brazil Florian{\'o}polis",
      conference-year = "2012",
                label = "lattes: 2916855460918534 1 FelgueirasCamaOrtiRosi:2012:UsSpUn",
             language = "en",
           targetfile = "felgueira_using.pdf",
                  url = "http://www.accuracy2012.ufsc.br/",
               volume = "1",
        urlaccessdate = "30 abr. 2024"
}