Graphics-intensive methods for data visualization

用于数据可视化的图形密集型方法

• 批准号: RGPIN-2016-05427
• 负责人: Brooks, Stephen
• 金额: $ 1.6万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=678705
• 关键词: Graphics; intensive; methods; data; visualization

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. **

来自人类奋进的所有领域的数据持续爆炸式增长，对这些数据的分析和理解在工业，政府和学术界已经变得至关重要。 但是，许多更先进的计算机图形和可视化方法往往仍然是分开的，并在该领域的专家，因为他们往往需要一套不寻常的技能，艺术和技术，设计有效的和引人入胜的视觉传达。 视觉设计师必须具备艺术方面的天赋，如构图，色彩和视觉流，同时也要从事深奥的技术任务，如数据转换和编程。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，这些隐喻无需繁重的培训即可理解，并暗示数据集中的潜在不确定性。 拟议的方法将深入研究技术、照片真实感和风格元素，这些方法将在被认为符合公众利益的具有很大程度不确定性的数据集背景下进行评估。* 以同时吸引广大用户并提供信息的方式可视化数据是一项挑战，也是本拟议工作的主题，特别是关于开发新的图形密集型方法。 这一主题将体现在几个密切相关的举措中，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体现和表面，颜色，空间布置和照明样式的组合，用于数据可视化。这些举措直接融入了长期的研究轨迹，旨在融合先进和专业的图形方法和可视化，同时考虑感知和美学元素。**