体育数据可视化综述

A Survey on Sports Data Visualization

体育数据可视化是体育新闻和体育竞技中的重要技术.体育数据可分为一维体育属性统计数据,体育属性和时空属性结合的多维数据等.已有工作主要有体育数据新闻、体育数据专业分析、可视分析系统.文中概括和归纳了体育数据可视化工作中采用的基本方法:从数据的时空角度出发,有基于技术统计数据的可视化、技术统计数据和空间数据结合的可视化、技术统计数据和时间数据结合的可视化、技术统计数据和时空数据结合的可视化等;从球员角度出发,有单个球员可视化和多个球员可视化等.文中阐述了体育数据可视分析的基本思路:基于统计学角度的分析、基于移动和集群的分析、基于特征检测的分析等;并展望了未来的发展方向.

Visualizing sport data is of great importance for sport news and gameplay. Sport data can be cate-gorized into simple one-dimensional statistical data of sports attributes, multi-dimensional data and time-space attribute. Existing work focuses on sport data journalism, professional data analysis and visual analytics system. This paper summarizes four classes of fundamental visualization approaches: spa-tio-temporal visualization (statistical data, statistical and spatial data, statistical and temporal data, statistical and spatio-temporal data). From the perspective of players, there are two kinds of methods: single player, and multi-players. We present visual analytics systems that emphasize on statistical aspects, movement and constellation, and feature detection, respectively. Finally, we outline future work for sport data visualization.