Journal cover Journal topic
Abstracts of the ICA
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Volume 1
Abstr. Int. Cartogr. Assoc., 1, 345, 2019
https://doi.org/10.5194/ica-abs-1-345-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Abstr. Int. Cartogr. Assoc., 1, 345, 2019
https://doi.org/10.5194/ica-abs-1-345-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Jul 2019

15 Jul 2019

Advanced Cartographic Techniques for Making Sense of Big Dynamic Data

Alexandre Sorokine1 and Steven Fernandez2 Alexandre Sorokine and Steven Fernandez
  • 1Oak Ridge National Laboratory, Oak Ridge, TN, USA
  • 2Consultant 2, Almeria Analytics, Rio Rancho, NM, USA

Keywords: big data, animated maps, natural breaks

Abstract. We have demonstrated application of advanced cartographic approaches to visualization of the U.S. electric grid. To address the challenges of high cognitive load of animated maps, we have applied an approach to combine data preprocessing, event detection, and several advanced cartographic techniques. In the future, the proposed methodology can be generalized to other types of dynamic big data.

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