Graphics-intensive methods for data visualization

来自人类努力的所有领域的数据继续爆炸性地增长，对这些数据的分析和理解已经成为工业界、政府和学术界的首要任务。但许多更先进的计算机图形学和可视化方法往往是分开的，属于专家的领域，因为它们往往需要一套非同寻常的艺术和技术技能，才能设计出有效和引人入胜的视觉交流。视觉设计师必须在构图、色彩和视觉流动等艺术方面拥有天生的天赋，还必须从事深奥的技术任务，如数据转换和经常编程。*拟议的研究将开发视觉数据表示，旨在提供视觉上引人入胜的物理隐喻，无需繁重的培训水平即可理解，并暗示数据集中潜在的不确定性。拟议的方法将深入研究技术、照片逼真和风格元素，这些方法将在具有重大不确定性的数据集的背景下进行评估，这些数据集被认为是公共利益的。*以对广大用户同时具有吸引力和信息量的方式可视化数据是具有挑战性的，也是这项拟议工作的主题，特别是在开发新的图形密集型方法方面。这一主题将体现在几项密切相关的举措中，这些举措将开发和评估新的图形密集型方法，这些方法具有独特的化身和表面、颜色、空间安排和照明风格的组合，用于数据可视化。这些举措直接进入了一个长期研究轨道，旨在融合先进和专业的图形方法和可视化，同时也考虑到感知和美学元素。**

There continues to be an explosive growth of data emanating from all areas of human endeavor, the analysis and understanding of which has become paramount in industry, government and academia. But many of the more advanced approaches to computer graphics and visualization often remain apart and in the domain of the specialist since they often require an uncommon set of skills, both artistic and technical, to design effective and engaging visual communication. The visual designer must possess a natural aptitude for artistic aspects such as composition, colour, and visual flow, and also engage in esoteric technical tasks such as data transformations and often programming.***The proposed research will develop visual data representations intended to offer visually engaging, physical metaphors that are understandable without onerous levels of training and that are suggestive of underlying uncertainties in datasets. The proposed methods will delve into technical, photo-realistic and stylistic elements, and these methods will be evaluated in the context of datasets with a significant degree of uncertainty deemed to be of public interest. ***Visualizing data in ways that are simultaneously engaging and informative to a broad set of users is challenging and is the subject of this proposed work, specifically with regards to the development of novel graphics-intensive approaches. This theme will be manifested in several closely related initiatives that will develop and evaluate new graphics-intensive methods with distinctive incarnations and combinations of surfaces, color, spatial arrangement and lighting styles for data visualization. These initiatives feed directly into a long term research trajectory which aims to fuse advanced and specialized graphics methods and visualization, while also considering perceptual and aesthetic elements. **