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Banded choropleth map

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Abstract

Because of the disability in visualizing statistical data with spatiotemporal information of choropleth map, we propose a novel method banded choropleth map (BCM). This technique makes use of space filling, splits sub-regions with equal width or area, and then fills partitions with different colors. It can utilize limited screen space more sufficiently than small multiples. It can also preserve context more clearly than animation. Based on the technique, we made a formal evaluation to find the efficiency of BCM in doing global task and local task under different factors.

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Funding

This research was supported by the Natural Science Foundation of China under Grant No. 61402435 and the National Key Research and Development Plan under Grant Nos. 2016YFB1000600 and 2016YFB0501900.

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Authors and Affiliations

  1. Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

    Yi Du, Yuanchun Zhou & Jianhui Li

  2. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

    Lei Ren

  3. Institute of Software, Chinese Academy of Sciences, Beijing, China

    Feng Tian & Guozhong Dai

Authors
  1. Yi Du
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  2. Lei Ren
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  3. Yuanchun Zhou
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  4. Jianhui Li
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  5. Feng Tian
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  6. Guozhong Dai
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Correspondence to Lei Ren.

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Du, Y., Ren, L., Zhou, Y. et al. Banded choropleth map. Pers Ubiquit Comput 22, 503–510 (2018). https://doi.org/10.1007/s00779-018-1120-y

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  • DOI: https://doi.org/10.1007/s00779-018-1120-y

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