A Survey of Infectious Disease Transmission Data Visual Analysis

被引：0
|
作者：
Chen X. [1 ]
Xu L. [2 ]
Ge L. [1 ]
Zhang B. [1 ]
Che S. [1 ]
Liu H. [1 ]
机构：
[1] Institute of Data and Target Engineering, Information Engineering University, Zhengzhou
[2] Institute of Geospatial Information, Information Engineering University, Zhengzhou
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2020年 / 32卷 / 10期
关键词：
Infectious disease transmission data; Information visualization; Visual analysis;
D O I：
10.3724/SP.J.1089.2020.18490
中图分类号：
学科分类号：
摘要：
Infectious disease transmission data is a data set composed of multiple data types, with spatial attribute characteristics, time series attribute characteristics and semantic attribute characteristics. Recently, the visualization of infectious disease transmission data has been widely introduced for spatio-temporal distribution characteristics analyzing, related factors analyzing and propagation trends prediction. This paper introduces the characteristics of infectious disease transmission data, and summarizes the related work from two aspects, namely, visualization methods and visual analysis of infectious disease transmission data. For the first issue, four categories are classified: map-based, space time cube-based, time series-based and relationship-based. For the second issue, three visual analysis tasks are summarized: spatio-temporal distribution analysis, correlation factor analysis, trend monitoring and prediction. Then, the existing visual analysis tools are introduced from the perspective of these visual analysis tasks. Finally, the challenges and development trends of infectious disease data visualization are summarized and prospected. © 2020, Beijing China Science Journal Publishing Co. Ltd. All right reserved.
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页码：1581 / 1593
页数：12
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