Open Space Visualization
Open Space Visualization is a scholarly methodological framework within public space visualization that specifically enables the systematic representation, analysis, and interpretation of unoccupied or underutilized urban areas through computational and spatial visualization techniques.
6
Publications
191
Citations
15
Authors
10
Institutions
Publications per year
2017–2026
5
Parents
6
Automatic assessment of public open spaces using street view imagery
Shuting Chen, Filip Biljecki · Cities · 2023 · 81 citations
Jorgos Coenen, Maarten Houben, Andrew Vande Moere · 2019 · 20 citations · Full text
1–5 of 6
15
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 15
10
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
26 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
1 publications
20 citations
University of Liège
Liège, Belgium
1 h-index
1 publications
51 citations
National University of Singapore
Singapore, Singapore
1 h-index
2 publications
162 citations
Community Coordinated Modeling Center
Greenbelt, United States
1 h-index
1 publications
15 citations

American Museum of Natural History
New York, United States
1 h-index
1 publications
15 citations
KU Leuven
Leuven, Belgium
1 h-index
2 publications
40 citations
New York University
New York, United States
1 h-index
1 publications
15 citations
1–8 of 10
1 publications · 13 citations
1
h-index
1 publications · 81 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 51 citations
1
h-index
1 publications · 11 citations
1–5