@InProceedings{SantosFerrQueiVinh:2016:SpDaRe,
               author = "Santos, Lorena A. and Ferreira, Karine Reis and Queiroz, Gilberto 
                         Ribeiro de and Vinhas, L{\'u}bia",
          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 = "Spatiotemporal data representation in R",
            booktitle = "Anais...",
                 year = "2016",
         organization = "Brazilian Symposium on GeoInformatics, 17. (GEOINFO)",
             abstract = "Recent advances in devices that collect geospatial information 
                         have produced massive spatiotemporal data sets. Earth observation 
                         and GPS satellites, sensor networks and mobile gadgets are 
                         examples of technologies that have created large data sets with 
                         better spatial and temporal resolution than ever. This scenario 
                         brings a challenge for Geoinformatics: we need software tools to 
                         represent, process and analyze these large data sets efficiently. 
                         R is a environment widely used for data analysis. In this work, we 
                         present a study of spatiotemporal data representation in R. We 
                         evaluate R packages to access and create three spatiotemporal data 
                         types as different views on the same observation set: time series, 
                         trajectories and coverage.",
  conference-location = "Campos do Jord{\~a}o, SP",
      conference-year = "27-30 nov. 2016",
             language = "en",
                  ibi = "8JMKD3MGP3W34P/3N2U9TH",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3N2U9TH",
           targetfile = "santos_spatiotemporal.pdf",
        urlaccessdate = "28 abr. 2024"
}