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SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-4761-8601
University of Konstanz, Germany.
Linköping University, The Tema Institute, Department of Water and Environmental Studies. Linköping University, Faculty of Arts and Sciences.
University of Bonn, Germany.
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2015 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 21, no 1, 107-121 p.Article in journal (Refereed) Published
Abstract [en]

Movement data sets collected using todays advanced tracking devices consist of complex trajectories in terms of length, shape, and number of recorded positions. Multiple additional attributes characterizing the movement and its environment are often also included making the level of complexity even higher. Simplification of trajectories can improve the visibility of relevant information by reducing less relevant details while maintaining important movement patterns. We propose a systematic stepwise methodology for simplifying and thematically enhancing trajectories in order to support their visual analysis. The methodology is applied iteratively and is composed of: (a) a simplification step applied to reduce the morphological complexity of the trajectories, (b) a thematic enhancement step which aims at accentuating patterns of movement, and (c) the representation and interactive exploration of the results in order to make interpretations of the findings and further refinement to the simplification and enhancement process. We illustrate our methodology through an analysis example of two different types of tracks, aircraft and pedestrian movement.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2015. Vol. 21, no 1, 107-121 p.
Keyword [en]
Visual analysis; trajectories; simplification; thematic enhancement; clustering
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Earth and Related Environmental Sciences
URN: urn:nbn:se:liu:diva-113165DOI: 10.1109/TVCG.2014.2337333ISI: 000345907200011OAI: diva2:780354
Available from: 2015-01-14 Created: 2015-01-12 Last updated: 2015-06-02

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Vrotsou, KaterinaNavarra, Carlo
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Media and Information TechnologyThe Institute of TechnologyDepartment of Water and Environmental StudiesFaculty of Arts and Sciences
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Electrical Engineering, Electronic Engineering, Information EngineeringEarth and Related Environmental Sciences

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