%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2019/09.13.16.07
%2 sid.inpe.br/sibgrapi/2019/09.13.16.07.11
%@doi 10.1109/SIBGRAPI.2019.00014
%T eSTIMe: Towards an All-in-One Geovisualization Environment for Daily Mobility Analysis
%D 2019
%A Menin, Aline,
%A Chardonnel, Sonia,
%A Davoine, Paule-Annick,
%A Nedel, Luciana,
%@affiliation Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, France
%@affiliation Univ. Grenoble Alpes, CNRS, Science Po Grenoble, PACTE, 38000 Grenoble, France
%@affiliation Univ. Grenoble Alpes, CNRS, Science Po Grenoble, PACTE and Grenoble INP, LIG, 38000 Grenoble, France
%@affiliation Federal University of Rio Grande do Sul, Institute of Informatics, Porto Alegre, Brazil
%E Oliveira, Luciano Rebouças de,
%E Sarder, Pinaki,
%E Lage, Marcos,
%E Sadlo, Filip,
%B Conference on Graphics, Patterns and Images, 32 (SIBGRAPI)
%C Rio de Janeiro, RJ, Brazil
%8 28-31 Oct. 2019
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K geovisualization, daily mobility analysis, movement data, geovisual analysis.
%X 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.
%@language en
%3 SIBGRAPI2019.pdf