£106.59

Springer Global Seismicity Dynamics and Big Data Science Book

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Description

Explore the evolving landscape of earth mechanics with Global Seismicity Dynamics and Data-Driven Science. As global and regional seismicity data continues to grow, researchers require modern methods to investigate microseismicity effectively. This monograph by Springer provides a specialized approach to handling the massive datasets accumulated in global databases. The text introduces a powerful tool designed to reveal the characteristic features of microseismicity through big data analytics. By focusing on the transformation of stored big data into seismicity density data archives, this work offers a technical pathway for understanding complex geological patterns. It is an essential resource for those studying the relationship between large-scale data and the nature of whole earth mechanics. This book serves as a technical guide for scientists and researchers looking to implement linear transformations of microseismicity density data matrixes. It bridges the gap between raw seismic data and actionable geological models, making it a significant addition to the Advances in Geological Science series.

Key Features

Provides new methods for the investigation of microseismicity to better understand whole earth mechanics.

Offers a powerful tool to reveal characteristic features within global and regional microseismicity big data.

Includes techniques for the transformation of stored big data into organized seismicity density data archives.

Explains the linear transformation of microseismicity density data matrixes for advanced geological modeling.

Addresses the challenges presented by the recent explosion of global and regional seismicity data.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 October 2021
Listed Since
11 September 2021

Barcode

No barcode data available

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