@InProceedings{TeixeiraSoNeCoOlMa:2017:AbMo,
               author = "Teixeira, Isabella Lorenzini da Silva and Soares Filho, Britaldo 
                         Silveira and Nero, Marcelo Antonio and Costa, William Leles Souza 
                         and Oliveira, Amanda Ribeiro de and Machado, Lilian Aline",
                title = "Avalia{\c{c}}{\~a}o da qualidade de dados geoespaciais: uma 
                         abordagem moderna",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "257--264",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Spatial information is essential for urban planning, public 
                         services, management and security. To be successfully a spatial 
                         data needs to be aware of the quality of information. In a context 
                         of popularization through the internet, increased demand and 
                         widespread use of digital spatial data, it is necessary specific 
                         research on data quality. This paper proposes the qualification of 
                         information given by the Brazilian Institute of Geography and 
                         Statistics, National Spatial Data Infrastructure and the Center of 
                         Remote Sensing of the Federal University of Minas Gerais based on 
                         the analysis of positional accuracy standards, accuracy attribute, 
                         completeness, metadata and logical consistency. It is also 
                         evaluated the web design. By selecting three maps of each 
                         institution it was rated the quality level of the information 
                         provided by them, in order to better understand the rules, data 
                         quality standards, metadata, the mistakes and how the violation of 
                         these elements impair the quality and reduce the credibility of 
                         the information provided.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60077",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS43M2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS43M2",
           targetfile = "60077.pdf",
                 type = "Mapeamento",
        urlaccessdate = "27 abr. 2024"
}