24.6. 本章小结#
可视化基础是连接数据科学与人类认知的桥梁，其核心目标是构建从抽象数据到直观视觉的高效映射。 作为跨学科领域，它需融合图形学、统计学与认知心理学，既要遵循格式塔原则避免视觉混乱，又需应对大规模数据的实时渲染挑战。 未来，随着AR/VR与脑机接口的兴起，基础理论需重构“人-图-境”交互范式，探索多感官通道协同的可视化新形态。
24.6.1. 习题#
24.6.2. 参考文献#
Xuwen Chen, Cheng Yu, Xingyu Ni, Mengyu Chu, Bin Wang, and Baoquan Chen. A time-dependent inclusion-based method for continuous collision detection between parametric surfaces. ACM SIGGRAPH Computer Graphics, 2024.
William S. Cleveland and Robert McGill. Graphical perception: theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, 79:531–554, 1984.
Matthew O Ward, Georges Grinstein, and Daniel Keim. Interactive data visualization: foundations, techniques, and applications. AK Peters/CRC Press, 2010.
Ji Soo Yi, Youn ah Kang, John Stasko, and Julie A Jacko. Toward a deeper understanding of the role of interaction in information visualization. IEEE transactions on visualization and computer graphics, 13(6):1224–1231, 2007.