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2016 IEEE Pacific Visualization Symposium (PacificVis) (2016)
Taipei, Taiwan
April 19, 2016 to April 22, 2016
ISSN: 2165-8773
ISBN: 978-1-5090-1451-4
pp: 176-183
Robert Krueger , VIS, University of Stuttgart
Guodao Sun , Zhejiang University of Technology
Fabian Beck , VISUS, University of Stuttgart
Ronghua Liang , Zhejiang University of Technology
Thomas Ertl , VIS, University of Stuttgart
ABSTRACT
Geo-tagged microblog data covers billions of movement patterns on a global and local scale. Understanding these patterns could guide urban and traffic planning or help coping with disaster situations. We present a visual analytics system to investigate travel trajectories of people reconstructed from microblog messages. To analyze seasonal changes and events and to validate movement patterns against other data sources, we contribute highly interactive visual comparison methods that normalize and contrast trajectories as well as density maps within a single view. We also compute an adaptive hierarchical graph from the trajectories to abstract individual movements into higher-level structures. Specific challenges that we tackle are, among others, the spatio-temporal sparsity of the data, the volume of data varying by region, and a diverse mix of means of transportation. The applicability of our approach is presented in three case studies.
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CITATION
Robert Krueger, Guodao Sun, Fabian Beck, Ronghua Liang, Thomas Ertl, "TravelDiff: Visual comparison analytics for massive movement patterns derived from Twitter", 2016 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 176-183, 2016, doi:10.1109/PACIFICVIS.2016.7465266
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