Survey 3D

The State of the Art in Visual Analytics for 3D Urban Data

Survey on 3D urban visual analytics

EuroVis 2024

The structure of the survey — The survey's structure: paper type and three dimensions asking why, what and how visualization supports 3D urban data analytics.

Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders. With the growing availability of 3D urban data, numerous studies have focused on developing visual analysis techniques tailored to the unique characteristics of urban environments. However, incorporating the third dimension into visual analytics introduces additional challenges in designing effective visual tools to tackle urban data's diverse complexities. In this paper, we present a survey on visual analytics of 3D urban data.

Our work characterizes published works along three main dimensions (why, what, and how), considering use cases, analysis tasks, data, visualizations, and interactions. We provide a fine-grained categorization of published works from visualization journals and conferences, as well as from a myriad of urban domains, including urban planning, architecture, and engineering. By incorporating perspectives from both urban and visualization experts, we identify literature gaps, motivate visualization researchers to understand challenges and opportunities, and indicate future research directions.

The survey reviewed over 150 papers covering a period of more than ten years and almost 20 venues. Browse them in the interactive survey.

Publications

The State of the Art in Visual Analytics for 3D Urban Data

Fabio Miranda, Thomas Ortner, Gustavo Moreira, Maryam Hosseini, Milena Vuckovic, Filip Biljecki, Claudio T. Silva, Marcos Lage, Nivan Ferreira

Computer Graphics Forum (EuroVis 2024), 2024

Paper arXiv

How to cite

BibTeX

@article{miranda2024star,
  title = {The State of the Art in Visual Analytics for 3D Urban Data},
  volume = {43},
  doi = {10.1111/cgf.15112},
  number = {3},
  journal = {Computer Graphics Forum},
  publisher = {Wiley},
  author = {Miranda, Fabio and Ortner, Thomas and Moreira, Gustavo and Hosseini, Maryam and Vuckovic, Milena and Biljecki, Filip and Silva, Claudio T. and Lage, Marcos and Ferreira, Nivan},
  year = {2024},
  month = jun,
  eprint = {2404.15976},
  archiveprefix = {arXiv}
}