Moreira Gustavo, Hosseini Maryam, Alam Nipu Md Nafiul, Lage Marcos, Ferreira Nivan, Miranda Fabio
IEEE Trans Vis Comput Graph. 2024 Jan;30(1):1402-1412. doi: 10.1109/TVCG.2023.3326598. Epub 2023 Dec 25.
While cities around the world are looking for smart ways to use new advances in data collection, management, and analysis to address their problems, the complex nature of urban issues and the overwhelming amount of available data have posed significant challenges in translating these efforts into actionable insights. In the past few years, urban visual analytics tools have significantly helped tackle these challenges. When analyzing a feature of interest, an urban expert must transform, integrate, and visualize different thematic (e.g., sunlight access, demographic) and physical (e.g., buildings, street networks) data layers, oftentimes across multiple spatial and temporal scales. However, integrating and analyzing these layers require expertise in different fields, increasing development time and effort. This makes the entire visual data exploration and system implementation difficult for programmers and also sets a high entry barrier for urban experts outside of computer science. With this in mind, in this paper, we present the Urban Toolkit (UTK), a flexible and extensible visualization framework that enables the easy authoring of web-based visualizations through a new high-level grammar specifically built with common urban use cases in mind. In order to facilitate the integration and visualization of different urban data, we also propose the concept of knots to merge thematic and physical urban layers. We evaluate our approach through use cases and a series of interviews with experts and practitioners from different domains, including urban accessibility, urban planning, architecture, and climate science. UTK is available at urbantk.org.
当世界各地的城市都在寻找利用数据收集、管理和分析方面的新进展来解决问题的明智方法时,城市问题的复杂性以及海量的可用数据给将这些努力转化为可操作的见解带来了重大挑战。在过去几年中,城市视觉分析工具极大地帮助应对了这些挑战。在分析感兴趣的特征时,城市专家必须转换、整合并可视化不同的主题(例如,阳光照射、人口统计)和物理(例如,建筑物、街道网络)数据层,通常跨越多个空间和时间尺度。然而,整合和分析这些层需要不同领域的专业知识,这增加了开发时间和工作量。这使得程序员进行整个视觉数据探索和系统实施变得困难,也为计算机科学领域之外的城市专家设置了很高的入门障碍。考虑到这一点,在本文中,我们介绍了城市工具包(UTK),这是一个灵活且可扩展的可视化框架,通过专门为常见城市用例构建的新高级语法,能够轻松编写基于网络的可视化。为了促进不同城市数据的整合和可视化,我们还提出了节点的概念来合并主题和物理城市层。我们通过用例以及对来自不同领域(包括城市可达性、城市规划、建筑和气候科学)的专家和从业者的一系列访谈来评估我们的方法。UTK可在urbantk.org上获取。