Summary: In seismic research, a hypothesis is that ionosphere disturbances are related to lithosphere activities such as earthquakes.
Domain scientists are urgent to discover disturbance patterns of electromagnetic attributes in ionosphere around earthquakes, and to propose related hypotheses.
However, the workflow of seismic researchers usually only supports pattern extraction from a few earthquakes.
To explore the pattern-based hypotheses on a large spatiotemporal scale meets challenges, due to the limitation of their analysis tools.
To tackle the problem, we develop a visual analytics system which not only supports pattern extraction of the original workflow in a way of dynamic query, but also extends the work with hypotheses exploration on a global scale.
Domain scientists can easily utilize our system to explore the heterogeneous dataset, and to extract patterns and explore related hypotheses visually and interactively.
We conduct several case studies to demonstrate the usage and effectiveness of our system in the research of relationships between ionosphere disturbances and earthquakes.
Author(s): Fan Hong, Peking University
Siming Chen, Peking University
Hanqi Guo, Argonne National Laboratory
Xiaoru Yuan, Peking University
Jian Huang, University of Tennessee, Knoxville
Yongxian Zhang, China Earthquake Networks Center