Unravelling the human perspective and considerations for urban data visualization

Sarah Goodwin, Sebastian Meier, Lyn Bartram, Alex Godwin, Till Nagel, Marian Dorek

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


Effective use of data is an essential asset to modern cities. Visualization as a tool for analysis, exploration, and communication has become a driving force in the task of unravelling our complex urban fabrics. This paper outlines the findings from a series of three workshops from 2018-2020 bringing together experts in urban data visualization with the aim of exploring multidisciplinary perspectives from the human-centric lens. Based on the rich and detailed workshop discussions identifying challenges and opportunities for urban data visualization research, we outline major human-centric themes and considerations fundamental for CityVis design and introduce a framework for an urban visualization design space.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 14th Pacific Visualization Symposium PacificVis 2021
EditorsNan Cao, Holger Theisel, Chaoli Wang
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781665439312
ISBN (Print)9781665439329
Publication statusPublished - 2021
EventIEEE Pacific Visualization Symposium 2021 - Virtual, Tianjin, China
Duration: 19 Apr 202121 Apr 2021
Conference number: 14
http://vis.tju.edu.cn/pvis2021/ (Website)
https://ieeexplore.ieee.org/xpl/conhome/9438711/proceeding (Proceedings)

Publication series

Name2021 IEEE 14th Pacific Visualization Symposium
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773


ConferenceIEEE Pacific Visualization Symposium 2021
Abbreviated titlePacificVis 2021
Internet address


  • Human-centered computing
  • Interaction design
  • Interaction design process and methods
  • Visualization
  • Visualization design and evaluation methods

Cite this