While cities around the world are looking for smart ways to channel new advances in data collection, management, and analysis to address their day-to-day problems, the complex nature of urban issues and the overwhelming amount of available structured and unstructured 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. With this in mind, we present the Urban Toolkit, 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.

The toolkit is described in the paper:
The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics
Gustavo Moreira, Maryam Hosseini, Md Nafiul Alam Nipu, Marcos Lage, Nivan Ferreira and Fabio Miranda
IEEE Transactions on Visualization and Computer Graphics (Accepted at IEEE VIS 2023, to appear)

Authors

• Gustavo Moreira (UIC)
• Maryam Hosseini (MIT)
• Md Nafiul Alam Nipu (UIC)
• Marcos Lage (UFF)
• Nivan Ferreira (UFPE)
• Fabio Miranda (UIC)

Other projects

• CitySurfaces: City-scale semantic segmentation of sidewalk surfaces
• tile2net: Automated mapping of pedestrian networks from aerial imagery tiles
• Deep Umbra: Generative approach for sunlight access computation