| Author | Burmeister, Jan; Liao, Jilin; Yang, Jieqing; Wei, Qingtian; Wang, Kexin |
|---|
| Date | 2022 |
|---|
| Type | Paper |
|---|
| Abstract | 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. |
|---|
| Conference | IEEE Visual Analytics Science and Technology (VAST Challenge Workshop) 2022 |
|---|
| Url | https://doi.org/10.24406/publica-1591 |
|---|
