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Visual analytics tools for analysis of movement data

Published: 01 December 2007 Publication History

Abstract

With widespread availability of low cost GPS devices, it is becoming possible to record data about the movement of people and objects at a large scale. While these data hide important knowledge for the optimization of location and mobility oriented infrastructures and services, by themselves they lack the necessary semantic embedding which would make fully automatic algorithmic analysis possible. At the same time, making the semantic link is easy for humans who however cannot deal well with massive amounts of data. In this paper, we argue that by using the right visual analytics tools for the analysis of massive collections of movement data, it is possible to effectively support human analysts in understanding movement behaviors and mobility patterns. We suggest a framework for analysis combining interactive visual displays, which are essential for supporting human perception, cognition, and reasoning, with database operations and computational methods, which are necessary for handling large amounts of data. We demonstrate the synergistic use of these techniques in case studies of two real datasets.

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Published In

cover image ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter  Volume 9, Issue 2
Special issue on visual analytics
December 2007
105 pages
ISSN:1931-0145
EISSN:1931-0153
DOI:10.1145/1345448
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2007
Published in SIGKDD Volume 9, Issue 2

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Author Tags

  1. aggregation
  2. cluster analysis
  3. exploratory data analysis
  4. interactive displays
  5. movement behavior
  6. movement data
  7. movement patterns
  8. trajectory
  9. visual analytics
  10. visualization

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  • (2023)Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real‐World EnvironmentsComputer Graphics Forum10.1111/cgf.1483842:3(385-396)Online publication date: 27-Jun-2023
  • (2023)RCMVis: A Visual Analytics System for Route Choice ModelingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.313182429:3(1799-1817)Online publication date: 1-Mar-2023
  • (2023)Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative StudyIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.332353536:5(2191-2212)Online publication date: 10-Oct-2023
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