Global Seismicity Dynamics and Data-Driven Science
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Chapter 1. IntroductionChapter 2. Nature of Earthquakes in the Solid Earth 2-1. Global Earthquake Distribution and Plate Tectonics 2-2. Earthquake Propagation and Shear Instability 2-3. Earthquakes and Global Network of Seismic StationsChapter 3. Global Seismicity of the Solid Earth 3-1. Stochastic Natures of Seismicity 3-2. Two Types of Earthquakes and Their Occurrences 3-3. The Global Seismicity of Subduction Zones 3-4. The Global Seismicity of Mid Oceanic Ridges 3-5. Global Moment Release Rates by Large Earthquakes 3-6. Stress Orientation and Seismic Anisotropy of the Plate Boundary Chapter 4. Data - Driven Sciences for Geosciences 4-1. Matrix Decomposition Method and Sparse Modeling 4-2. Deep Neural Network Approximation 4-3. State - Space Modeling of Time Series 4-4. Frobenius Norm Maximum Method for DynamicsChapter 5. Data-Driven Science of Seismicity 5-1. Data Cloud of the Global and Japanese Seismicity 5-2. Data - Driven Sciences of Global Seismicity Dynamics 5-3. The Characteristic Features of the Correlated Global Seismicity 5-4. Global Seismic Moment Release Rate and Correlated Seismicity Rates 5-5. Correlated Seismicity Rate Variations of Global Ocean RidgesChapter 6. Down Scaling Seismicity of Japanese Regions 6-1. Outline of Tectonics of the Japanese Islands 6-2. Seismicity of Japanese Islands Regions 6-3. Seismicity Cloud of Japanese Islands Crust and Mantle 6-4. Characteristic Features of Correlated Seismicity Rates 6-5. Characteristic Features of Correlated Seismicity Rates Time Series 6-6. Correlated Seismicity Rates on z1-z2-z3 Diagram 6-7. Coherency of Correlated Seismicity Rates between Mantle and Crust 6
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