for PEARC17
Attending this event?
Once you’ve registered and arrive in New Orleans, be sure to use our mobile web app to manage your busy schedule so you don’t miss a thing. Also check the website for updates and use the #PEARC17 hashtag to keep up with friends and colleagues.  
View analytic
Tuesday, July 11 • 2:30pm - 3:00pm
Visual exploration and analysis of time series earthquake data

Sign up or log in to save this to your schedule and see who's attending!

Earthquake hazard estimation requires systematic investigation of past records as well as fundamental processes that cause the quake. Robust risk estimation requires detailed long-term records of earthquakes at all scales (magnitude, space, time), which are not available. Hence a synthetic method based on first principals could generate such records that could bridge this critical gap of missing data. RSQSim is such a simulator that generates seismic event catalogs for several thousand years at various scales. This synthetic catalog contains rich detail about the events and corresponding properties.
Exploring this data is of vital importance to validate the simulator as well as to identify features of interest such as quake time histories, conduct analysis such as mean recurrence interval of events on each fault section, etc. This work describes and demonstrates a prototype web based visual tool that enables scientists and students explore this rich dataset, as well as also discusses the refinement and streamlining data management and analysis that is less error prone and scalable.

Tuesday July 11, 2017 2:30pm - 3:00pm
Bolden 5
Feedback form isn't open yet.

Attendees (1)