Designing for the Situated and Public Visualization of Urban Data
Bibliographic Data
| ID | 15318869 |
|---|---|
| Authors | Andrew Vande Moere (0000-0002-0085-4941, Makerere University, corresponding author), Dan Hill (0000-0001-9974-8964) |
| Year | 2012 |
| Volume | 19 |
| Issue | 2 |
| Pages | 25-46 |
| Publication date | 2012-04-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Urban Technology (JOURNAL) |
| Journal identifiers | ISSN: 1063-0732 • E-ISSN: 1466-1853 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10630732.2012.698065 |
| OpenAlex | W2132169380 |
| Language | EN |
| Citations received | 7 |
| References cited | 25 |
This paper investigates the concept of urban visualization, the visual representation of an urban environment through its intrinsic or related data, where its display is also situated within that physical environment. It describes how the principles behind public and urban displays can be combined with those of social visualization and persuasive computing in order to create discursive as well as pictorial representations that provide a better and potentially actionable understanding of urban issues to its inhabitants. We introduce the role of several related research fields, and analyze a set of representative case studies, taken from current best practice, academic research studies, and an experimental design studio course to highlight the typical issues involved in conceptualizing and implementing an urban visualization. Lastly, the paper proposes a set of design constraints that typically characterize an urban visualization, in order to guide the future design and evaluation of useful applications within the field
Civil engineering · Data mining · Data science · Data visualization · Field (mathematics · Human–computer interaction · Information visualization · Representation (politics · Set (abstract data type · Situated · Urban computing · Urban design · Urban planning · Visualization · Computer Science · Data Visualization and Analytics · Engineering · Innovative Human-Technology Interaction · Multimedia Communication and Technology · Urban Studies · Artificial Intelligence
| Citations per year | 0.64 |
|---|---|
| Citation span | 2015 - 2025 (11) |
| Highly cited | No |