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图学学报

图学学报 ›› 2022, Vol. 43 ›› Issue (1): 1-10.DOI: 10.11996/JG.j.2095-302X.2022010001

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起止点数据可视分析研究

  

  1. 1. 中国科学院新疆理化技术研究所，新疆 乌鲁木齐 830011；  2. 中国科学院大学，北京 100049；  3. 新疆民族语音语言信息处理研究室，新疆 乌鲁木齐 830011
  • 出版日期:2022-02-28 发布日期:2022-02-16
  • 基金资助:
    新疆维吾尔自治区重大专项(2020A03004-4) 

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)

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摘要： 起止点数据是一种由起点、终点、起止点时间及一些其他属性构成的轨迹数据。其是一类非常 典型的时空数据，大量产生于城市交通管理、人口迁移、社交媒体等领域。可视分析技术目前被广泛用于研究 大规模起止点数据的时空模式，能够实现对数据深层次的探索。首先介绍了起止点数据特征以及可视分析的任 务，其次梳理了近年来起止点数据可视分析中的可视化方法、交互技术和可视化系统，并对不同领域的应用案 例进行介绍。最后，对起止点数据可视研究中面临的问题进行总结，对起止点数据可视化研究的前景做出了展 望，以期为未来的研究提供新的思路。

关键词: 起止点数据, 时空数据, 可视分析

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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