Street Space Visualization
Street Space Visualization is a methodological framework within public space visualization that specifically enables the representation, analysis, and interpretation of spatial, functional, and social dynamics unique to streets through computational and visual techniques.
64
Publications
5.6K
Citations
241
Authors
108
Institutions
Publications per year
2017–2026
47
Parents
64
Google Street View: Capturing the World at Street Level
Dragomir Anguelov, Carole Dulong, Daniel Filip et al. · Computer · 2010 · 773 citations
1–5 of 64
241
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1–5 of 241
108
Wuhan University
Wuhan, China
4 h-index
4 publications
293 citations

Sun Yat-sen University
Guangzhou, China
4 h-index
7 publications
930 citations
China University of Geosciences
Wuhan, China
4 h-index
8 publications
936 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
1.1K citations
The University of Tokyo
Tokyo, Japan
3 h-index
3 publications
161 citations

Zhejiang University
Hangzhou, China
3 h-index
8 publications
324 citations

Harbin Institute of Technology
Harbin, China
3 h-index
3 publications
266 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
414 citations
1–8 of 108
5 publications · 367 citations
5
h-index
5 publications · 1.4K citations
5
h-index
4 publications · 265 citations
4
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4 publications · 146 citations
4
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3 publications · 107 citations
3
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1–5