Publikationen

Autor	Burmeister, Jan; Liao, Jilin; Yang, Jieqing; Wei, Qingtian; Wang, Kexin
Datum	2022
Art	Paper
Abstrakt	The VAST 2022 Challenge 1 put us in place of an urban planning analyst for the fictitious city Engagement, Ohio. Given a large, interlinked dataset of its citizens, businesses and activities, we were tasked to assemble a summary of the state of Engagement to serve as basis for future investments. We present a visual analytics application to interactively explore this complex dataset using a combination of dashboards and a 2D/3D map. Our application uses interactive visualizations to iteratively build and analyze subgroups, sync their abstract data with spatial positions, and detect clusters and patterns in the data.
Konferenz	IEEE Visual Analytics Science and Technology (VAST Challenge Workshop) 2022
Url	https://doi.org/10.24406/publica-1591

Visual Analytics for Urban Data Analysis