Finalized:Monday, December 5, 2016
Author(s):Zhou, Y., J. Wu, L. Yu, H. Yu and Z. Tang
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.
Y. Zhou, J. Wu, L. Yu, H. Yu and Z. Tang, "A geohydrologie data visualization framework with an extendable user interface design," 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, 2016, pp. 2322-2331. doi: 10.1109/BigData.2016.7840865This material is based upon work supported by the National Science Foundation under Grant No. 1541043. Opinions, findings, conclusions or recommendations expressed are those of the authors and do not reflect the views of the NSF.