# Ground Motion Spatial Analysis-AI Insights

Spatial correlations of ground motions are critical for seismic hazard assessment, reflecting how seismic energy propagates across regions. Analyzing these correlations involves modeling ground motion intensity variations, influenced by distance, soil, and bedrock. Ground motion models, refined by statistical techniques like Bayesian methods, account for rupture, path, and site effects, capturing complex interactions and uncertainties. Understanding these spatial patterns allows for better quantification of seismic hazards and regional risk assessment, crucial for developing resilient infrastructure and mitigating earthquake impacts.

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