A geohydrologie data visualization framework with an extendable user interface design

Yanfu Zhou, Jieting Wu, Lina Yu, Hongfeng Yu, Zhenghong Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We present a novel geohydrologic data visualization framework and apply the interface automata theory in support of time-varying multivariate data visualization tasks. The framework tackles heterogeneous geohydrologic data that has unique and complex data structures. The interface automata can generate a series of interactions and interfaces that are adapted to user selection and provide an intuitive method for visualizing and analyzing geohydrologic data. The interface automata can not only clearly guide user exploration, but also enhance user experience by eliminating automation surprises. In addition, our design can significantly reduce the entire system maintenance overhead, and enhance the system extendability for new datasets and data types. Our framework has been applied to a scientific geohydrologic visualization and analysis system, named INSIGHT, for the Nebraska Department of Natural Resources (NDNR). The new framework has brought many advantages that do not exist in the previous approaches, and is more efficient and extendable for visualizing geohydrologic data.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
EditorsRonay Ak, George Karypis, Yinglong Xia, Xiaohua Tony Hu, Philip S. Yu, James Joshi, Lyle Ungar, Ling Liu, Aki-Hiro Sato, Toyotaro Suzumura, Sudarsan Rachuri, Rama Govindaraju, Weijia Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2322-2331
Number of pages10
ISBN (Electronic)9781467390040
DOIs
StatePublished - 2016
Event4th IEEE International Conference on Big Data, Big Data 2016 - Washington, United States
Duration: Dec 5 2016Dec 8 2016

Publication series

NameProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

Other

Other4th IEEE International Conference on Big Data, Big Data 2016
CountryUnited States
CityWashington
Period12/5/1612/8/16

Keywords

  • geohydrologic data
  • interface automata
  • visualization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'A geohydrologie data visualization framework with an extendable user interface design'. Together they form a unique fingerprint.

  • Cite this

    Zhou, Y., Wu, J., Yu, L., Yu, H., & Tang, Z. (2016). A geohydrologie data visualization framework with an extendable user interface design. In R. Ak, G. Karypis, Y. Xia, X. T. Hu, P. S. Yu, J. Joshi, L. Ungar, L. Liu, A-H. Sato, T. Suzumura, S. Rachuri, R. Govindaraju, & W. Xu (Eds.), Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016 (pp. 2322-2331). [7840865] (Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2016.7840865