@InProceedings{MeninCharDavoNede:2019:ToAlGe,
               author = "Menin, Aline and Chardonnel, Sonia and Davoine, Paule-Annick and 
                         Nedel, Luciana",
          affiliation = "Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, 
                         France and Univ. Grenoble Alpes, CNRS, Science Po Grenoble, PACTE, 
                         38000 Grenoble, France and Univ. Grenoble Alpes, CNRS, Science Po 
                         Grenoble, PACTE and Grenoble INP, LIG, 38000 Grenoble, France and 
                         Federal University of Rio Grande do Sul, Institute of Informatics, 
                         Porto Alegre, Brazil",
                title = "eSTIMe: Towards an All-in-One Geovisualization Environment for 
                         Daily Mobility Analysis",
            booktitle = "Proceedings...",
                 year = "2019",
               editor = "Oliveira, Luciano Rebou{\c{c}}as de and Sarder, Pinaki and Lage, 
                         Marcos and Sadlo, Filip",
         organization = "Conference on Graphics, Patterns and Images, 32. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "geovisualization, daily mobility analysis, movement data, 
                         geovisual analysis.",
             abstract = "Daily mobility data describe individual displacements over 24 
                         hours and make up an important source of information to help 
                         identify the real rhythm of a city which serve as a support for 
                         decision-making regarding transportation policies and other 
                         investments. Designing effective geovisualization environment for 
                         exploring this data evoke multiple challenges, since the analysis 
                         requires a simultaneous exploration of various mobility indicators 
                         at different spatial and temporal granular levels. Visual data 
                         analysis largely use coordinate \\& multiple views (CMV) since 
                         they support the combination of space and time, and cartographic 
                         and graphic views. In this paper, we propose a multi-screen 
                         environment embedding customizable dashboards, which gives the 
                         user freedom to arrange views in useful and meaningful ways. We 
                         address the well-known issue of time representation by integrating 
                         a handheld device as a second screen which holds menus and widgets 
                         to communicate with the dashboards, and a movement-based 
                         interaction technique to control the time dimension of the data.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "28-31 Oct. 2019",
                  doi = "10.1109/SIBGRAPI.2019.00014",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2019.00014",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/3U38M7S",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/3U38M7S",
           targetfile = "SIBGRAPI2019.pdf",
        urlaccessdate = "2024, Apr. 28"
}