IEEE Trans Vis Comput Graph. 2017 Mar;23(3):1249-1268. doi: 10.1109/TVCG.2016.2640960. Epub 2016 Dec 15.
Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization that focuses on the past decade. We aim at providing guidance for data practitioners to navigate through a modular view of the recent advances, inspiring the creation of new visualizations along the enriched visualization pipeline, and identifying future opportunities for visualization research.
大规模模拟和大量的传感设备组合在一起,再加上不断增加的计算资源,产生了用于研究众多研究领域现象的大型、复杂、高维数据集。可视化在探索此类数据集方面发挥着重要作用。我们全面调查了过去十年中高维数据可视化方面的进展。我们旨在为数据从业者提供指导,帮助他们从模块化的角度了解最近的进展,激发沿着丰富的可视化管道创建新的可视化效果,并确定可视化研究的未来机会。