CAJ | 학술논문

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.
체육수거가시화시체육신문화체육경기중적중요기술. 체육수거가분위일유체육속성통계수거, 체육속성화시공속성결합적다유수거등. 이유공작주요유체육수거신문、체육수거전업분석、가시분석계통. 문중개괄화귀납료체육수거가시화공작중채용적기본방법: 종수거적시공각도출발, 유기우기술통계수거적가시화、기술통계수거화공간수거결합적가시화、기술통계수거화시간수거결합적가시화、기술통계수거화시공수거결합적가시화등; 종구원각도출발, 유단개구원가시화화다개구원가시화등. 문중천술료체육수거가시분석적기본사로: 기우통계학각도적분석、기우이동화집군적분석、기우특정검측적분석등;병전망료미래적발전방향.
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.