UTK

The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics

Grammar for urban visualizations

IEEE VIS 2023

What-if shadow analysis and building-level sunlight access specified with the UTK grammar — Left: what-if planning for urban shadows, comparing current and proposed developments through algebraic operations in the grammar. Right: sunlight access analysis at the building level.

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.

Video

Publications

The Urban Toolkit: A Grammar-Based Framework for Urban Visual Analytics

Gustavo Moreira, Maryam Hosseini, Md Nafiul Alam Nipu, Marcos Lage, Nivan Ferreira, Fabio Miranda

IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2023), 2024

Paper arXiv Code

Team

Gustavo MoreiraUniversity of Illinois Chicago
Maryam HosseiniUniversity of California, Berkeley
Md Nafiul Alam NipuUniversity of Illinois Chicago
Marcos LageUniversidade Federal Fluminense
Nivan FerreiraUniversidade Federal de Pernambuco
Fabio MirandaUniversity of Illinois Chicago

How to cite

BibTeX

@article{moreira2024utk,
  title = {The Urban Toolkit: A Grammar-Based Framework for Urban Visual Analytics},
  volume = {30},
  doi = {10.1109/tvcg.2023.3326598},
  number = {1},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  author = {Moreira, Gustavo and Hosseini, Maryam and Alam Nipu, Md Nafiul and Lage, Marcos and Ferreira, Nivan and Miranda, Fabio},
  year = {2024},
  month = jan,
  pages = {1402--1412},
  eprint = {2308.07769},
  archiveprefix = {arXiv}
}