@InProceedings{Monteiro:2016:ExFoBi,
               author = "Monteiro, Diego Vilela",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Extending r for big trajectory data access",
                 year = "2016",
         organization = "Workshop de Computa{\c{c}}{\~a}o Aplicada, 16. (WORCAP)",
             abstract = "Spatiotemporal data is everywhere, being gathering from different 
                         devices such as Earth Observation and GPS satellites, sensor 
                         networks and mobile gadgets. Data collected from those devices 
                         might contain valuable information about different subjects, such 
                         as weather monitoring or mobility. Among these themes, moving 
                         object trajectory data has a particular interest in this work. In 
                         order to process this kind of data, there is a need for high-level 
                         programming environments that allow users to access big trajectory 
                         data sets and to develop new algorithms to analyze them. In this 
                         work, we propose a framework that extends the R environment for 
                         big trajectory data handling. We present an R package that can 
                         access big trajectory data from different types of sources.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "25-26 out.",
             language = "en",
           targetfile = "monteiro_extending.pdf",
        urlaccessdate = "17 maio 2024"
}