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Smart city article details

Title	Web-Based Spatio-Temporal Data Visualization Technology For Urban Digital Twin
ID_Doc	61594
Authors	Yu Q.; Shang W.-L.; Chen J.; Zhang H.
Year	2023
Published	Handbook of Mobility Data Mining: Volume 1: Data Preprocessing and Visualization, 1
DOI	http://dx.doi.org/10.1016/B978-0-443-18428-4.00002-5
Abstract	Digital twin technology is a fast-growing research topic, but it is still in its infancy. The organic combination of urban digital twin and web-based visualization of Spatio-temporal big data is one of the important directions for future smart city decision-making, planning, and management. This chapter introduces the potential of web-based visualization technology for enhancing the visualization of massive Spatio-temporal data. The advantages, key technologies, and common tools of web-based visualization, as well as the common form of visualization for different data. This chapter also presents an example of a web-based digital twin project called 3D UrbanMOB, including its feature, design concepts, and development details. This field is becoming increasingly important as researchers become more conscious of the necessity to use urban digital twins for monitoring, modeling, and assessment of urban events in the development of next-generation smart cities. © 2023 Elsevier Inc. All rights reserved.
Author Keywords	Data visualization; Digital twin; Spatio-temporal big data; Web-based visualization

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