@inproceedings{PB-VRVis-2022-034,
author = {Splechtna, Rainer and Hulka, Thomas and Sardana, Disha and Chandrashekar, Nikitha Donekal and Gra{\v{c}}anin, Denis and Matkovi{\'c}, Kresimir},
title = {Comprehending City Economics from Heterogeneous Data},
year = {2022},
booktitle = {IEEE VIS 2022 - VAST challenge entry earned "Honorable Mention for Clear Articulation of Hypotheses and Metrics"},
editor = {n.n.},
url = {https://www.vrvis.at/publications/PB-VRVis-2022-034},
abstract = {Visualizing complex, heterogeneous data that includes spatial information, tracking data of citizens, as well as rich data about business and citizens over a long period of time is a difficult problem. We describe how we deployed a coordinated multiple view system to
explore and comprehend such data. The system is developed as a response to the IEEE VAST 2022 Challenge 3. We briefly demonstrate the power of the developed system using three examples that use a citizen-centric and a pub-centric data set.},
keywords = {Human-centered computing, Visualization, Visualization application domains, Visual Analytics},
}