The site selection of sports facilities is a pivotal link in the construction of city livable environment and the development of sports business in digital-twinning cities. Recent years have witnessed data mining and visualization technologies bringing the convenience as well as opportunities for intelligent site selection. However, the lack of effective and reliable systematic analysis leads to difficulties in developing sports facilities planning schemes and constructing the site-selection system. In this article, we design Sport facility Visual analysis system (SpoVis), an interactive visual analysis system for planning sports facilities as well as site selection. SpoVis provides users with the distribution status and statistical analysis of various sports facilities. Based on a comprehensive consideration of city population distribution, construction cost, existing sports facilities, traffic situation, and development potential, SpoVis provides users with a reasonable site-selection scheme of sports facilities from both macro and microperspectives and recommends results through topology and map. Meanwhile, based on the distribution of existing sports facilities and city influencing factors, a set of visual analysis components are designed to facilitate users to evaluate the status and information of existing sports facilities. We have carried out extensive experiments on a real platform with real-world data. The experimental results show that the proposed site-selection models and algorithms have excellent accuracy and operation efficiency.

中文翻译：

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SpoVis：数字友好城市体育设施选址决策支持系统


体育设施选址是数字孪生城市宜居环境建设和体育事业发展的关键环节。近年来，数据挖掘和可视化技术为智能选址带来了便利和机遇。然而，由于缺乏有效、可靠的系统分析，导致体育设施规划方案制定和选址体系构建困难重重。在本文中，我们设计了体育设施可视化分析系统（SpoVis），这是一个用于体育设施规划和选址的交互式可视化分析系统。 SpoVis为用户提供各类体育设施的分布状况和统计分析。 SpoVis综合考虑城市人口分布、建设成本、现有体育设施、交通状况和发展潜力，从宏观和微观角度为用户提供合理的体育设施选址方案，并通过拓扑和地图推荐结果。同时，根据现有体育设施的分布情况和城市影响因素，设计了一套可视化分析组件，方便用户评估现有体育设施的状况和信息。我们在真实平台上利用真实世界的数据进行了广泛的实验。实验结果表明，所提出的选址模型和算法具有良好的精度和运行效率。