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£102 today · previous high £102 · all-time low £102
Springer Seismicity Modelling by Big Data Analytics Book
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Description
Key Features
This Springer monograph provides new methods for investigating microseismicity to better understand whole earth mechanics.
The text introduces a powerful tool to reveal characteristic features of global and regional seismicity big data.
The method involves the transformation of stored big data into seismicity density data archives.
The research utilizes linear transformation of microseismicity density data matrixes for advanced modelling.
Part of the Advances in Geological Science series, this book focuses on data-driven science and big data analytics.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 9811551111
- Domain
- Amazon UK
- Release Date
- 09 October 2021
- Listed Since
- 11 September 2021
Barcode
No barcode data available
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