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Hans-Jörg Schulz

A Visualization Approach for Cross-level Exploration of Spatiotemporal Data

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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.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Knowledge Management and Knowledge Technologies (i-Know'13)
EditorsStefanie Lindstaedt, Michael Granitzer
Number of pages8
Place of publicationGraz, Austria
PublisherACM Press
Publication year2013
Article number2
ISBN (print)978-1-4503-2300-0
Publication statusPublished - 2013

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