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Journal of Graphics ›› 2022, Vol. 43 ›› Issue (1): 1-10.DOI: 10.11996/JG.j.2095-302X.2022010001

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Visual analysis of origin-destination data

  

  1. 1. Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi Xinjiang 830011, China;  2. University of Chinese Academy of Sciences, Beijing 100049, China;  3. Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi Xinjiang 830011, China
  • Online:2022-02-28 Published:2022-02-16
  • Supported by:
    Major Project of Xinjiang Uygur Autonomous Region (2020A03004-4)

Abstract: Origin-destination data was a kind of trajectory data composed of start point, end point, time, and some other attributes. It was a typical spatio-temporal data, which was generated in such fields as urban transportation management, population migration, and social media. Visual analysis technology was widely employed to study the spatio-temporal pattern of large-scale origin-destination data, accomplishing the deep exploration of data. Firstly, we introduced the characteristics of origin-destination data and the tasks of visual analysis. Secondly, we reviewed the existing visualization methods, interaction technologies, and visualization systems of origin-destination data in recent years, and presented the application cases in different fields. Finally, we summarized the problems and challenges in relevant research, and envisioned the prospect of the research on visualization of origin-destination data, shedding new light on future research. 

Key words:  origin-destination data, spatio-temporal data, visual analysis 

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