By a News Reporter-Staff News Editor at Computer Weekly News -- Current study results on Computers - Computer Programming have been published. According to news reporting out of Hong Kong, People’s Republic of China, by VerticalNews editors, research stated, “Urban forms at human-scale, i.e., urban environments that individuals can sense (e.g.. sight, smell. and touch) in their daily lives. can provide unprecedented insights on a variety of applications. such as urban planning and environment auditing. The analysis of urban forms can help planners develop high-quality urban spaces through evidence-based design.”
Funders for this research include Urban China Initiative 2017, HK RGC GRF, National 973 Program of China, ITF.
Our news journalists obtained a quote from the research from the Hong Kong University of Science and Technology, “However, such analysis is complex because of the involvement of spatial, multi-scale (i.e., city, region, and street), and multivariate (e.g., greenery and sky ratios) natures of urban forms. In addition, current methods either lack quantitative measurements or are limited to a small area. The primary contribution of this work is the design of StreetVizor, an interactive visual analytics system that helps planners leverage their domain knowledge in exploring human-scale urban forms based on street view images. Our system presents two-stage visual exploration: 1) an A01 Explorer for the visual comparison of spatial distributions and quantitative measurements in two areas-of-interest (A01s) at city- and region-scales; 2) and a Street Explorer with a novel parallel coordinate plot for the exploration of the fine-grained details of the urban forms at the street-scale. We integrate visualization techniques with machine learning models to facilitate the detection of street view patterns. We illustrate the applicability of our approach with case studies on the real-world datasets of four cities, i.e., Hong Kong, Singapore, Greater London and New York City.”
According to the news editors, the research concluded: “Interviews with domain experts demonstrate the effectiveness of our system in facilitating various analytical tasks.”
For more information on this research see: StreetVizor: Visual Exploration of Human-Scale Urban Forms Based on Street Views. IEEE Transactions on Visualization and Computer Graphics , 2018;24(1):1004-1013. IEEE Transactions on Visualization and Computer Graphics can be contacted at: Ieee Computer Soc, 10662 Los Vaqueros Circle, PO Box 3014, Los Alamitos, CA 90720-1314, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Transactions on Visualization and Computer Graphics - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2945)
Our news journalists report that additional information may be obtained by contacting Q.M. Shen, Hong Kong University of Science & Technology, Hong Kong, Hong Kong, People’s Republic of China. Additional authors for this research include W. Zeng, Y. Ye, S.M. Arisona, S. Schubiger, R. Burkhard and H.M. Qu.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/TVCG.2017.2744159. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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CITATION: (2018-01-10), Study Findings from Hong Kong University of Science and Technology Provide New Insights into Computer Programming (StreetVizor: Visual Exploration of Human-Scale Urban Forms Based on Street Views), Computer Weekly News, 745, ISSN: 1944-1606, BUTTER® ID: 014934098
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