@InCollection{CâmaraEFAQSJV:2014:FiGeDa,
               author = "C{\^a}mara, Gilberto and Egenhofer, Max J. and Ferreira, Karine 
                         Reis and Andrade, Pedro Ribeiro de and Queiroz, Gilberto Ribeiro 
                         de and Sanchez, Alber and Jones, Jim and Vinhas, L{\'u}bia",
                title = "Fields as a Generic Data Type for Big Spatial Data",
            booktitle = "Geographic Information Science: 8th International Conference, 
                         GIScience 2014, Vienna Austria, September 24-26, 2014, 
                         Proceedings",
            publisher = "Springer",
                 year = "2014",
               editor = "Duckham, M. and Pebesma, E. and Stewart, K. and Frank, A. U.",
                pages = "159--172",
             keywords = "field data type, spatial fields, spatiotemporal data, big spatial 
                         data.",
             abstract = "This paper defines the Field data type for big spatial data. Most 
                         big spatial data sets provide information about properties of 
                         reality in continuous way, which leads to their representation as 
                         fields. We develop a generic data type for fields that can 
                         represent di\↵erent types of spatiotemporal data, such as 
                         trajectories, time series, remote sensing and, climate data. To 
                         assess its power of generality, we show how to represent existing 
                         algebras for spatial data with the Fields data type. The paper 
                         also argues that array databases are the best support for 
                         processing big spatial data and shows how to use the Fields data 
                         type with array databases.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {} and {} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)}",
                  doi = "10.1007/978-3-319-11593-1_11",
                  url = "http://dx.doi.org/10.1007/978-3-319-11593-1_11",
                 isbn = "9783319115924",
                label = "lattes: 3800022078311584 4 CamaraEFAQSJV:2014:FiGeDa",
             language = "en",
           targetfile = "LATTES giscience2014_paper75_final.pdf",
                  url = "http://link.springer.com/10.1007/978-3-319-11593-1_11",
               volume = "8728",
        urlaccessdate = "27 abr. 2024"
}