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von Landesberger T, Brodkorb F, Roskosch P, et al. MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering. IEEE Trans Vis Comput Graph. 2016;22(1):11-20doi: 10.1109/TVCG.2015.2468111.
von Landesberger, T., Brodkorb, F., Roskosch, P., Andrienko, N., Andrienko, G., & Kerren, A. (2016). MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering. IEEE transactions on visualization and computer graphics, 22(1), 11-20. https://doi.org/10.1109/TVCG.2015.2468111
von Landesberger, Tatiana, et al. "MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering." IEEE transactions on visualization and computer graphics vol. 22,1 (2016): 11-20. doi: https://doi.org/10.1109/TVCG.2015.2468111
von Landesberger T, Brodkorb F, Roskosch P, Andrienko N, Andrienko G, Kerren A. MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering. IEEE Trans Vis Comput Graph. 2016 Jan;22(1):11-20. doi: 10.1109/TVCG.2015.2468111. PMID: 26529684.
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IEEE Trans Vis Comput Graph. 2016 Jan;22(1):11-20. doi: 10.1109/TVCG.2015.2468111.

MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering.

IEEE transactions on visualization and computer graphics

Tatiana von Landesberger, Felix Brodkorb, Philipp Roskosch, Natalia Andrienko, Gennady Andrienko, Andreas Kerren

PMID: 26529684 DOI: 10.1109/TVCG.2015.2468111

Abstract

Learning more about people mobility is an important task for official decision makers and urban planners. Mobility data sets characterize the variation of the presence of people in different places over time as well as movements (or flows) of people between the places. The analysis of mobility data is challenging due to the need to analyze and compare spatial situations (i.e., presence and flows of people at certain time moments) and to gain an understanding of the spatio-temporal changes (variations of situations over time). Traditional flow visualizations usually fail due to massive clutter. Modern approaches offer limited support for investigating the complex variation of the movements over longer time periods.

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