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GeoBrick: exploration of spatiotemporal data

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Abstract

We present GeoBrick, an interactive technique for exploring spatiotemporal data. In GeoBrick, each region is comprised of multivariate data, which is encoded into simple shapes with colors. Additionally, users can adjust the resolution of data values to get an overview as well as details of the data. GeoBrick allows users to (1) juxtapose data and spatial profiles of discontiguous regions, (2) identify temporal patterns of user-defined classes of regions, and (3) comparatively evaluate across distinct configurations of regions. We demonstrate the effectiveness and efficacy of GeoBrick using two case studies.

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Acknowledgements

This work has been partially supported by the National Science Foundation Grants IIP1069147, CNS1302246, IIS1527200, NRT1633299, and CNS1650499.

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Authors and Affiliations

  1. Department of Computer Science, Stony Brook University, Stony Brook, NY, USA

    Ji Hwan Park, Saad Nadeem & Arie Kaufman

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  1. Ji Hwan Park
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  2. Saad Nadeem
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  3. Arie Kaufman
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Correspondence to Ji Hwan Park.

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Park, J.H., Nadeem, S. & Kaufman, A. GeoBrick: exploration of spatiotemporal data. Vis Comput 35, 191–204 (2019). https://doi.org/10.1007/s00371-017-1461-y

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