TY - CONF TI - A Visualization Approach for Cross-level Exploration of Spatiotemporal Data AU - Schulz, Hans-Jörg AU - Hadlak, Steffen AU - Schumann, Heidrun A2 - Lindstaedt, Stefanie A2 - Granitzer, Michael AB - Spatiotemporal data often relates to different levels of granularity in space, time, and data. Yet, bringing these levels together for an integrated visual exploration across levels poses a challenge up to this day. With this paper, we aim to provide a first solution approach to this challenge, which decomposes the data in its various levels to be able to show them side-by-side. Based on this decomposition, we derive a visual exploration approach that consists of a novel multilevel visualization, adjoined traditional spatial and temporal views, as well as of tailored exploration techniques for their concerted use. We exemplify the utility of this approach by case studies on election and poll data from Germany's various administrative levels and different time spans. C1 - Graz, Austria C3 - Proceedings of the International Conference on Knowledge Management and Knowledge Technologies (i-Know'13) DA - 2013/// PY - 2013 DO - 10.1145/2494188.2494199 SP - 2:1 EP - 2:8 PB - ACM Press SN - 978-1-4503-2300-0 ER -