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Issue No. 05 - September/October (2017 vol. 37)
ISSN: 0272-1716
pp: 50-60
Alireza Karduni , University of North Carolina at Charlotte
Isaac Cho , University of North Carolina at Charlotte
Ginette Wessel , Roger Williams University
William Ribarsky , University of North Carolina at Charlotte
Eric Sauda , University of North Carolina at Charlotte
Wenwen Dou , University of North Carolina at Charlotte
ABSTRACT
Understanding people's behavior is fundamental to many planning professions (including transportation, community development, economic development, and urban design) that rely on data about frequently traveled routes, places, and social and cultural practices. Based on the results of a practitioner survey, the authors designed Urban Space Explorer, a visual analytics system that utilizes mobile social media to enable interactive exploration of public-space-related activity along spatial, temporal, and semantic dimensions.
INDEX TERMS
Geographic information systems, Data science, Urban areas, Visual analytics, Planning, Social network services, Computer graphics
CITATION

A. Karduni, I. Cho, G. Wessel, W. Ribarsky, E. Sauda and W. Dou, "Urban Space Explorer: A Visual Analytics System for Urban Planning," in IEEE Computer Graphics and Applications, vol. 37, no. 5, pp. 50-60, 2017.
doi:10.1109/MCG.2017.3621223
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