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A survey of competitive sports data visualization and visual analysis
Journal of Visualization ( IF 1.7 ) Pub Date : 2020-08-18 , DOI: 10.1007/s12650-020-00687-2
Meng Du , Xiaoru Yuan

Competitive sports data visualization is an increasingly important research direction in the field of information visualization. It is also an important basis for studying human behavioral pattern and activity habits. In this paper, we provide a taxonomy of sports data visualization and summarize the state-of-the-art research from four aspects of data types, main tasks and visualization techniques and visual analysis. Specifically, we first put sports data into two categories: spatiotemporal information and statistical information. Then, we propose three main tasks for competitive sports data visualization: feature presentation, feature comparison and feature prediction. Furthermore, we classify competitive sports data visualization techniques based on data characteristics into five categories: high-dimensional data visualization, time-series visualization, graph (network) visualization, glyph visualization and other visualization, and we analyze the relationship between major tasks and visualization techniques. We also introduce visual analysis research work of competitive sports, propose the features and limitations of competitive sports data, summarize multimedia visualization in competitive sports and finally discuss visual analysis evaluation. In this survey, we attempt to help readers to find appropriate techniques for different data types and different tasks. Our paper also intends to provide guidelines and references for future researchers when they study human behavior and moving patterns.

中文翻译:

竞技体育数据可视化与可视化分析综述

竞技体育数据可视化是信息可视化领域越来越重要的研究方向。它也是研究人类行为模式和活动习惯的重要依据。在本文中,我们提供了体育数据可视化的分类法,并从数据类型、主要任务和可视化技术以及可视化分析四个方面总结了最新研究。具体来说,我们首先将体育数据分为两类:时空信息和统计信息。然后,我们提出了竞技体育数据可视化的三个主要任务:特征呈现、特征比较和特征预测。此外,我们根据数据特征将竞技体育数据可视化技术分为五类:高维数据可视化、时间序列可视化、图(网络)可视化、字形可视化等可视化,我们分析了主要任务和可视化技术之间的关系。我们还介绍了竞技体育的可视化分析研究工作,提出了竞技体育数据的特点和局限性,总结了竞技体育中的多媒体可视化,最后讨论了可视化分析评估。在本次调查中,我们试图帮助读者找到适合不同数据类型和不同任务的技术。我们的论文还旨在为未来研究人类行为和运动模式的研究人员提供指导和参考。我们还介绍了竞技体育的可视化分析研究工作,提出了竞技体育数据的特点和局限性,总结了竞技体育中的多媒体可视化,最后讨论了可视化分析评估。在本次调查中,我们试图帮助读者找到适合不同数据类型和不同任务的技术。我们的论文还旨在为未来研究人类行为和运动模式的研究人员提供指导和参考。我们还介绍了竞技体育的可视化分析研究工作,提出了竞技体育数据的特点和局限性,总结了竞技体育中的多媒体可视化,最后讨论了可视化分析评估。在本次调查中,我们试图帮助读者找到适合不同数据类型和不同任务的技术。我们的论文还旨在为未来研究人类行为和运动模式的研究人员提供指导和参考。
更新日期:2020-08-18
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