VAUD

A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data

Wei Chen, Zhaosong Huang, Feiran Wu, Minfeng Zhu, Huihua Guan, Ross Maciejewski

Research output: Contribution to journal › Article

12 Citations (Scopus)

Abstract

Urban data is massive, heterogeneous, and spatio-temporal, posing a substantial challenge for visualization and analysis. In this paper, we design and implement a novel visual analytics approach, Visual Analyzer for Urban Data (VAUD), that supports the visualization, querying, and exploration of urban data. Our approach allows for cross-domain correlation from multiple data sources by leveraging spatial-temporal and social inter-connectedness features. Through our approach, the analyst is able to select, filter, aggregate across multiple data sources and extract information that would be hidden to a single data subset. To illustrate the effectiveness of our approach, we provide case studies on a real urban dataset that contains the cyber-, physical-, and socialinformation of 14 million citizens over 22 days.

Original languageEnglish (US)
JournalIEEE Transactions on Visualization and Computer Graphics
DOIs
StateAccepted/In press - Sep 29 2017

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Keywords

  • Cognition
  • Data visualization
  • Heterogeneous
  • Public transportation
  • Spatio-temporal
  • Trajectory
  • Urban areas
  • Urban data
  • Visual Analysis
  • Visual analytics
  • Visual Reasoning

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Cite this

VAUD : A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data. / Chen, Wei; Huang, Zhaosong; Wu, Feiran; Zhu, Minfeng; Guan, Huihua; Maciejewski, Ross.

In: IEEE Transactions on Visualization and Computer Graphics, 29.09.2017.

Research output: Contribution to journal › Article

Chen, W, Huang, Z, Wu, F, Zhu, M, Guan, H & Maciejewski, R 2017, 'VAUD: A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data', IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2017.2758362
Chen W, Huang Z, Wu F, Zhu M, Guan H, Maciejewski R. VAUD: A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data. IEEE Transactions on Visualization and Computer Graphics. 2017 Sep 29. https://doi.org/10.1109/TVCG.2017.2758362
Chen, Wei ; Huang, Zhaosong ; Wu, Feiran ; Zhu, Minfeng ; Guan, Huihua ; Maciejewski, Ross. / VAUD : A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data. In: IEEE Transactions on Visualization and Computer Graphics. 2017.
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