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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634656
• 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.

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。视觉设计师必须具有艺术方面的天赋，如构图、色彩和视觉流动，还必须从事深奥的技术任务，如数据转换和经常编程。