Curio

A Dataflow-Based Framework for Collaborative Urban Visual Analytics

Dataflow-based framework for collaboration in urban visual analytics

IEEE VIS 2024

A Curio dataflow analyzing the shadow impact of a proposed building in Boston — A dataflow that analyzes the shadow impact of a proposed building in Boston: it loads OpenStreetMap data, runs a shadow model, and compares the current and alternate scenarios and their shadow difference in UTK views.

Curio (Collaborative Urban Insight Observatory) is a framework for collaborative urban visual analytics that uses a dataflow model with multiple abstraction levels (code, grammar, GUI elements) to facilitate collaboration across the design and implementation of visual analytics components. The framework allows experts to intertwine preprocessing, managing, and visualization stages while tracking provenance of code and visualizations.

Try it in the browser at flow.urbantk.org, or run your own instance with the installation guide.

Video

Publications

Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics

Gustavo Moreira, Maryam Hosseini, Carolina Veiga, Lucas Alexandre, Nicola Colaninno, Daniel de Oliveira, Nivan Ferreira, Marcos Lage, Fabio Miranda

IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2024), 2025

Paper arXiv Code

Team

Gustavo MoreiraUniversity of Illinois Chicago
Maryam HosseiniUniversity of California, Berkeley
Carolina VeigaUniversity of Illinois Urbana-Champaign
Lucas AlexandreUniversidade Federal Fluminense
Nicola ColaninnoPolitecnico di Milano
Daniel de OliveiraUniversidade Federal Fluminense
Marcos LageUniversidade Federal Fluminense
Nivan FerreiraUniversidade Federal de Pernambuco
Fabio MirandaUniversity of Illinois Chicago

How to cite

BibTeX

@article{moreira2025curio,
  title = {Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics},
  volume = {31},
  doi = {10.1109/tvcg.2024.3456353},
  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 Veiga, Carolina and Alexandre, Lucas and Colaninno, Nicola and de Oliveira, Daniel and Ferreira, Nivan and Lage, Marcos and Miranda, Fabio},
  year = {2025},
  month = jan,
  pages = {1224--1234},
  eprint = {2408.06139},
  archiveprefix = {arXiv}
}