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dc.contributor.authorLampe, Ove Daaeen_US
dc.contributor.authorKehrer, Johannesen_US
dc.contributor.authorHauser, Helwigen_US
dc.contributor.editorReinhard Koch and Andreas Kolb and Christof Rezk-Salamaen_US
dc.date.accessioned2014-02-01T16:18:49Z
dc.date.available2014-02-01T16:18:49Z
dc.date.issued2010en_US
dc.identifier.isbn978-3-905673-79-1en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE/VMV/VMV10/315-322en_US
dc.description.abstractMovement data consisting of a large number of spatio-temporal agent trajectories is challenging to visualize, especially when all trajectories are attributed with multiple variates. In this paper, we demonstrate the visual exploration of such movement data through the concept of interactive difference views. By reconfiguring the difference views in a fast and flexible way, we enable temporal trend discovery. We are able to analyze large amounts of such movement data through the use of a frequency-based visualization based on kernel density estimates (KDE), where it is also possible to quantify differences in terms of the units of the visualized data. Using the proposed techniques, we show how the user can produce quantifiable movement differences and compare different categorical attributes (such as weekdays, ship-type, or the general wind direction), or a range of a quantitative attribute (such as how two hours' traffic compares to the average). We present results from the exploration of vessel movement data from the Norwegian Coastal Administration, collected by the Automatic Identification System (AIS) coastal tracking. There are many interacting patterns in such movement data, both temporal and other more intricate, such as weather conditions, wave heights, or sunlight. In this work we study these movement patterns, answering specific questions posed by Norwegian Coastal Administration on potential shipping lane optimizations.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleVisual Analysis of Multivariate Movement Data using Interactive Difference Viewsen_US
dc.description.seriesinformationVision, Modeling, and Visualization (2010)en_US


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    ISBN 978-3-905673-79-1

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