Rendering and presentation of spatial data

许多计算机图形学仍然属于专家的领域，因为它需要一套不同寻常的艺术和技术技能。数字设计师必须在构图、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，如对象变换或非线性操作。然而，即使对那些拥有必要技能的人来说，许多任务仍然复杂且劳动密集型。因此，本研究的主要主题是通过半自动化和结合美学约束来降低图形应用的复杂性，从而促进计算机图形的民主化。在这一更广泛的背景下，拟议的研究将允许那些使用空间数据的人，他们可能没有艺术培训，可以半自动地创建他们的数据的动态渲染。 在过去的十年里，空间数据在分析、研究、规划和大众使用方面的使用出现了巨大的增长。因此，这项工作对于促进基于空间的知识向更广泛的公众进行决策、教育和参与具有重要意义。公共沟通对许多工业和学术项目至关重要。例如，如果你检查大型研究项目的在线材料，你会发现与公众沟通的主要工具是视觉插图、动画和图像。正是这种视觉演示的自动化推动了这项研究。通过自动化，可以减少分配给视觉媒体制作的预算，对于缺乏这种预算的较小规模的项目，自动化将使这种材料的制作成为可能。 为了实现这些目标，我的目标是设计和开发用于模拟说明性渲染样式的算法，用于呈现和增强空间数据集。

Much of computer graphics remains in the domain of the specialist since it requires an uncommon set of skills, both artistic and technical. The digital 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 object transformations or non-linear manipulations. Yet, even for those with the requisite skill sets, many tasks remain complex and labour-intensive. The overarching theme of this research is therefore to reduce the complexity of graphical applications through semi-automation and the incorporation of aesthetic constraints, thereby facilitating the democratization of computer graphics. Within this broader context, the proposed research will allow those working with spatial data, who may not possess artistic training, to semi-automatically create dynamic renderings of their data. The past decade has seen a vast increase in the use of spatial data for analysis, research, planning and popular use. This work will therefore be important as a facilitation of spatially-based knowledge to the broader public for decision making, education, and engagement. Public communication is critical for many industrial and academic projects. For example, if one examines online materials available for large research projects, one finds that the primary vehicle of communication to the public is visual illustration, animation and images. It is the automation of such visual presentations that motivates this research. Through automation, allocated budgets for visual media production could be reduced, and for smaller scale projects that lack such budgets, automation would enable the production of such materials. To achieve these goals, I aim to design and develop algorithms for the simulation of illustrative rendering styles, for the presentation and enhancement of spatial datasets.