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Vis-A-Ware: Integrating Spatial and Non-Spatial Visualization for Visibility-Aware Urban Planning
- Source :
- IEEE transactions on visualization and computer graphics. 23(2)
- Publication Year :
- 2016
-
Abstract
- 3D visibility analysis plays a key role in urban planning for assessing the visual impact of proposed buildings on the cityscape. A call for proposals typically yields around 30 candidate buildings that need to be evaluated with respect to selected viewpoints. Current visibility analysis methods are very time-consuming and limited to a small number of viewpoints. Further, analysts neither have measures to evaluate candidates quantitatively, nor to compare them efficiently. The primary contribution of this work is the design study of Vis-A-Ware, a visualization system to qualitatively and quantitatively evaluate, rank, and compare visibility data of candidate buildings with respect to a large number of viewpoints. Vis-A-Ware features a 3D spatial view of an urban scene and non-spatial views of data derived from visibility evaluations, which are tightly integrated by linked interaction. To enable a quantitative evaluation we developed four metrics in accordance with experts from urban planning. We illustrate the applicability of Vis-A-Ware on the basis of a use case scenario and present results from informal feedback sessions with domain experts from urban planning and development. This feedback suggests that Vis-A-Ware is a valuable tool for visibility analysis allowing analysts to answer complex questions more efficiently and objectively.
- Subjects :
- Visual analytics
Computer science
0211 other engineering and technologies
02 engineering and technology
computer.software_genre
Information visualization
Data visualization
Urban planning
0202 electrical engineering, electronic engineering, information engineering
Visibility
business.industry
Visibility (geometry)
020207 software engineering
021107 urban & regional planning
Viewpoints
Computer Graphics and Computer-Aided Design
Data science
Visualization
Signal Processing
Computer Vision and Pattern Recognition
Geovisualization
Data mining
Cityscape
business
computer
Software
Subjects
Details
- ISSN :
- 19410506
- Volume :
- 23
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on visualization and computer graphics
- Accession number :
- edsair.doi.dedup.....7fceb4966768d957837238e993e41350