A New Spatiotemporal Pattern Mining to Explore Earthquake Dynamics

Earthquakes is one of the most complex phenomena in nature.The inaccessible nature of the deep earth and the challenges inherent in observing beneath the Earth's crust make understanding this phenomenon a formidable task.The intricate physics governing earthquakes make their prediction a near-impossible feat in practice.Despite extensive efforts to comprehend the behavior and causes of earthquakes, the full understanding of this phenomenon remains elusive.In this way, mining the pattern of earthquake dynamics provides suitable insights into the geological structure, underlying processes and dynamics of seismic mechanisms.Understanding the complex interplay between seismotectonic regions is crucial for effective earthquake risk assessment and mitigation efforts.A general aspect of seismicity studies involves examining the relationship between earthquake events, specifically whether they are independent or dependent on each other, such as foreshock-mainshock-aftershock sequences and earthquake triggering.However, existing methods for analyzing these relationships face significant challenges that limit their effectiveness.Our study introduces an innovative approach to visualize the implicit network of associated seismotectonic regions, aiming to overcome these challenges and enhance our understanding of seismic activity patterns.