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Springer Nonlinear Time Series Analysis in the Geosciences

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Description

Explore the complex mechanisms of the Earth system through this specialized scientific text. As data sets grow larger and more complex, the need for sophisticated analytical methods becomes more apparent. This volume focuses on the importance of univariate and multivariate time series for studying dynamical processes in complex systems. This book bridges the gap between time series analysis theory and practical applications in geo- and astrophysics. It moves beyond classical linear problems, such as power spectra estimation, to address modern challenges in the field. Readers will find a deep look into how these methods apply to climatology, geodynamics, and solar-terrestrial physics. Part of the Lecture Notes in Earth Sciences series, this work is designed for higher education and professional research. It provides the necessary tools to understand the data-driven progress occurring in Earth science today. Whether you are studying atmospheric changes or geodynamic shifts, this text offers a foundation in nonlinear analysis for modern scientific inquiry.

Key Features

Covers univariate and multivariate time series analysis for studying dynamical processes in complex systems.

Provides theoretical foundations and practical applications specifically for geo- and astrophysics.

Addresses modern challenges in climatology, geodynamics, and solar-terrestrial physics.

Builds upon classical linear problems like power spectra estimation to explore nonlinear methods.

Part of the Springer Lecture Notes in Earth Sciences series, volume 112.

Designed for higher education and advanced scientific research in the geosciences.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 August 2008
Listed Since
10 April 2008

Barcode

No barcode data available

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