1. 之江实验室,浙江 杭州 310012
2. 浙江大学计算机辅助设计与图形学国家重点实验室,浙江 杭州 310058
[ "曹安琪(1997- ),女,浙江大学计算机辅助设计与图形学国家重点实验室博士生,主要研究方向为体育数据可视化。" ]
[ "陈泓宇(2000- ),女,浙江大学计算机辅助设计与图形学国家重点实验室本科生,主要研究方向为数据可视化。" ]
[ "谢潇(1994- ),男,博士,浙江大学计算机辅助设计与图形学国家重点实验室助理研究员,主要研究方向为体育数据可视化和多媒体可视化。" ]
[ "巫英才(1983- ),男,博士,之江实验室特聘专家,浙江大学计算机辅助设计与图形学国家重点实验室教授、博士生导师,主要研究方向为可视分析、信息可视化、人机交互。" ]
网络首发:2021-03,
纸质出版:2021-03-15
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曹安琪, 陈泓宇, 谢潇, 等. 足球比赛数据可视分析[J]. 大数据, 2021,7(2):2021012.
Anqi CAO, Hongyu CHEN, Xiao XIE, et al. Visual analysis for soccer match data[J]. Big data research, 2021, 7(2): 2021012.
曹安琪, 陈泓宇, 谢潇, 等. 足球比赛数据可视分析[J]. 大数据, 2021,7(2):2021012. DOI: 10.11959/j.issn.2096-0271.2021012.
Anqi CAO, Hongyu CHEN, Xiao XIE, et al. Visual analysis for soccer match data[J]. Big data research, 2021, 7(2): 2021012. DOI: 10.11959/j.issn.2096-0271.2021012.
足球比赛数据可视分析能够帮助足球数据分析师清晰直观地发现比赛中隐藏的规律,吸引了众多研究人员的关注。首先对现有的足球比赛数据可视分析工作进行阐述,按照数据类别将其分为基于统计数据的分析、基于事件数据的分析、基于轨迹数据的分析;然后进一步讨论了足球比赛数据可视分析当前面临的挑战;最后对未来发展方向进行了展望。
Visual analysis for soccer match data can help soccer data analysts gain hidden insights in matches clearly and intuitively
which has attracted attention of a number of researchers.Firstly
current works on visual analysis for soccer match data were surveyed.According to data type
the works can be divided as statistic-based analysis
event-based analysis
and trajectory-based analysis.Secondly
the current facing challenges of visual analysis for soccer match data were discussed further.Finally
directions for future development were prospected.
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