Smart City Gnosys

Smart city article details

Title	A Survey Of Urban Visual Analytics: Advances And Future Directions
ID_Doc	5201
Authors	Deng Z.; Weng D.; Liu S.; Tian Y.; Xu M.; Wu Y.
Year	2023
Published	Computational Visual Media, 9, 1
DOI	http://dx.doi.org/10.1007/s41095-022-0275-7
Abstract	Developing effective visual analytics systems demands care in characterization of domain problems and integration of visualization techniques and computational models. Urban visual analytics has already achieved remarkable success in tackling urban problems and providing fundamental services for smart cities. To promote further academic research and assist the development of industrial urban analytics systems, we comprehensively review urban visual analytics studies from four perspectives. In particular, we identify 8 urban domains and 22 types of popular visualization, analyze 7 types of computational method, and categorize existing systems into 4 types based on their integration of visualization techniques and computational models. We conclude with potential research directions and opportunities. [Figure not available: see fulltext.] © 2022, The Author(s).
Author Keywords	smart city; spatiotemporal data analysis; urban analytics; visual analytics

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