Visualizing Motion: A Framework for the Cartography of Movement

这个项目将研究运动作为一种具有复杂空间和时间维度的现象，如何在地理视觉显示中有效地表现出来。它将开发可视化方法和工具来绘制个人之间的运动模式和互动。这些工具对于研究与社会和生态系统相关的各种应用的假设生成和视觉交流是必不可少的。现在以非常高的空间和时间分辨率收集关于运动中的物体和物体的大量信息。这些数据有可能为与全球人员和货物流动、疾病爆发、交通变化对城市交通的影响或人类活动对濒危物种的影响有关的关键领域提供信息。运动的有效的视觉表现需要揭示和传达复杂的模式和社会重要性的过程。该项目将有助于深入了解人类如何感知运动模式，并促进对不同制图技术在绘制运动中的相互作用方面的有效性的了解。本项目开发的理论、方法和工具可广泛用于绘制和研究地理信息科学（GIS）、生态学、交通和健康等不同学科的运动。通过与工业界的合作，这项研究将为现有的商业GIS软件产品提供新的制图技术，从而弥合学术研究与工业之间的差距，这些软件产品被世界各地的研究人员、政策制定者、学生和其他人使用。本科生和研究生将接受STEM研究、与行业合作、撰写科学出版物和开发地理可视化工具的培训。可视化方法和工具将公开提供，并用于训练学生通过课堂设置和外展活动开发动态地图。这项研究将为运动制图创造一个新的理论框架，并从运动生态学和人类流动性的例子中进行测试。它将调查两个总体研究问题：(1)以准确有效的方式表示运动的基本视觉原则和设计元素是什么？(2)运动表征如何促进我们对相互作用的认识和理解？通过解决这两个研究问题，本研究将提供新的制图方法，以促进将原始运动数据有效地转化为不同背景下（即动物和人类运动）的有用运动知识。为了评估所提出框架的有效性和所开发方法的可用性，将进行一系列评估性用户研究和眼动追踪实验。用户研究实验将产生有效和更合理的交流移动模式的指导方针。作为一个研究用例，本研究将调查运动可视化如何帮助理解物种相互作用的问题，本研究以泰国濒危老虎为例。虽然本研究的重点是运动制图，但它将为促进对动态社会和生态系统中个体之间相互作用的理解提供方法和技术。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project will examine how motion as a phenomenon, with complex space and time dimensions, is effectively represented in geographic visual displays. It will develop visualization methods and tools to map movement patterns and interaction between individuals. These tools are essential for hypothesis generation and visual communication for studying a variety of applications related to social and ecological systems. Vast amounts of information on bodies and objects in motion is now collected at very high spatial and temporal resolutions. These data have the potential to inform critical areas related to global movements of humans and goods, disease outbreak, impact of transportation changes on urban traffic, or effects of human activity on endangered species. Effective visual representations of motion are needed to reveal and communicate complex patterns and processes of societal importance. This project will contribute insights into how humans perceive movement patterns and advance knowledge on the effectiveness of different cartographic techniques in mapping interaction in motion. The theory, methods, and tools developed by this project can be used broadly to map and study movement across diverse disciplines such as geographic information science (GIS), ecology, transportation, and health. Through collaboration with industry, this study will bridge the gap between academic research and industry by contributing new cartographic techniques to existing commercial GIS software products which are used by researchers, policy makers, students, and others worldwide. Undergraduate and graduate students will be trained for research in STEM, partnering with industry, writing scientific publications, and developing geographic visualization tools. The visualization methods and tools will be made publicly available and used for training students to develop maps in motion through classroom settings and outreach activities.This research will create a new theoretical framework for the cartography of movement and test it on examples taken from movement ecology and human mobility. It will investigate two overarching research questions: (1) What are fundamental visual principles and design elements for representing motion in accurate and effective ways? (2) How can representation of motion advance our knowledge and understanding of interaction? By addressing these two research questions, this research will contribute new cartographic methods to facilitate effective transformation of raw movement data into useful knowledge of motion in different contexts (i.e. animal and human movements). To assess the efficacy of the proposed framework and the usability of developed methods, a series of evaluative user studies and eye-tracking experiments will be conducted. User study experiments will generate guidelines on effective and more plausible ways of communicating movement patterns. As a research use case, this research will investigate the question of how visualization of motion helps to understand species interaction, in this case endangered tigers in Thailand. Although this research focuses on the cartography of motion, it will contribute methods and techniques to advance the understanding of interaction between individuals in dynamic social and ecological systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.