Journal of Computer Applications ›› 2020, Vol. 40 ›› Issue (9): 2719-2727.DOI: 10.11772/j.issn.1001-9081.2019111976

• Virtual reality and multimedia computing • Previous Articles     Next Articles

Visual analysis system for exploring spatio-temporal exhibition data

LIU Li, HU Haibo, YANG Tao   

  1. School of Big Data and Software, Chongqing University, Chongqing 400044, China
  • Received:2019-11-21 Revised:2020-01-24 Online:2020-09-10 Published:2020-06-29
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (U1836114), the Chongqing Research Program of Basic Science and Frontier Technology (cstc2017jcyjB0305).


刘黎, 胡海波, 杨涛   

  1. 重庆大学 大数据与软件学院, 重庆 400044
  • 通讯作者: 胡海波
  • 作者简介:刘黎(1992-),男,四川武胜人,硕士研究生,主要研究方向:大数据可视化、可视分析;胡海波(1977-),男,河南安阳人,副教授,博士,主要研究方向:大数据可视化、可视分析;杨涛(1997-),男,重庆九龙坡人,硕士研究生,主要研究方向:大数据可视化、可视分析。
  • 基金资助:

Abstract: The spatio-temporal data in the exhibition environment is complex, with high discreteness, discontinuity and incomplete records. In most cases, the spatio-temporal data itself not only contains time, longitude and latitude, but also contains additional attributes such as speed, acceleration and direction, which makes the analysis of such data challenging. Therefore, an interactive visual analytic system, Visual Analysis system for Spatio-Temporal Exhibition Data (VASTED) was proposed, which combines multiple interactions to analyze participants’ types and movement patterns, as well as possible abnormal events, for the whole and details. The system utilizes and further improves the 3D map and Gantt chart to effectively represent the various attributes of data. The dataset of ChinaVis2019 challenge1 was used for case study to prove the feasibility of the system.

Key words: exhibition environment, spatio-temporal data, visualization, visual analysis of correlation

摘要: 会展环境下的时空数据是复杂的,具有高度离散、不连续、记录不完整等特点。而大多情况下,时空数据本身不仅包含了时间、经度、纬度三维,还隐含速度、加速度、方向等附加属性,使得对这类数据的分析具有挑战。因此,提出一个交互式可视分析系统——会展时空数据可视分析系统(VASTED)。结合多种交互,面向整体与细节,关联分析参会人员的类型和移动规律以及可能的异常事件。该系统利用并进一步改进了三维地图和甘特图,有效地表示数据的多种属性。采用ChinaVis2019挑战1的数据集进行的案例研究,证明了该系统的可行性。

关键词: 会展环境, 时空数据, 可视化, 关联可视分析

CLC Number: