可视分析科学与技术是信息领域的新热点，大数据时代数据分析的复杂性、网络分布协同的普遍性、及融合云计算的必然性，给可视分析带来了新问题和挑战。本项目研究云环境下网络分布协同可视分析的理论和方法。探究网络空间群体分布协同可视分析的知识生成机理，建立网络分布协同可视分析过程的活动模型和交互任务模型，提出一种支持网络分布协同可视分析的云用户界面模型，并提出一套基于云用户界面的智能协同可视分析方法和技术，研发一个支持网络分布协同可视分析的云平台原型，并面向航天复杂产品云制造海量数据分析问题开展应用验证。通过本项目，揭示分布协同可视分析的知识产生模式与规律，丰富和扩展可视分析的基础理论，并为云环境下网络分布协同的可视分析提供一套科学有效的方法论。并且，将为面向大规模数据的复杂问题分析提供一种新型云用户界面模型以及智能交互式分析方法，对于推动大数据时代数据分析科学的发展具有重要的科学价值。

Visual Analytics science and technology is a new hot branch in information research area. The convergence of problem complexity, networked distributed collaboration, and cloud computing in big data era has introduced new challenges. This proposal aims at developing a theory and methodology for distributed collaborative visual analytics over networks under cloud computing environment. First, revealing the knowledge generation principle and constructing models of analysis activities and tasks in distributed collaborative visual analytics. Then, proposing a cloud-based user interface model as well as a set of intelligent collaborative analyzing methods and techniques for distributed collaborative visual analytics over networks. Finally, developing a cloud platform prototype supporting distributed collaborative visual analytics and carrying out application validation based on cloud manufacturing data. The research will contribute to discovering the knowledge generation patterns and laws in distributed collaborative visual analytics and thus expanding the basic theory and methodology of visual analytics. In addition, the research will provide a new user interface model as well as intelligent interactive analysis methods, which can effectively push forwards the data analysis science in big data era.