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|a eng
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1 |
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|a von Landesberger, Tatiana
|e verfasserin
|4 aut
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| 245 |
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|a MobilityGraphs
|b Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering
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|c 2016
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|a Text
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|a Date Completed 05.02.2016
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|a Date Revised 04.11.2015
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a 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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|a Brodkorb, Felix
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|4 aut
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|a Roskosch, Philipp
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Andrienko, Natalia
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Andrienko, Gennady
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kerren, Andreas
|e verfasserin
|4 aut
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|t IEEE transactions on visualization and computer graphics
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|g 22(2016), 1 vom: 24. Jan., Seite 11-20
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