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Springer Nonlinear Time Series Analysis in Geosciences - Springer

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Description

Explore advanced methods for analysing complex Earth system data with this comprehensive guide to nonlinear time series analysis in the geosciences. This Springer volume, part of the Lecture Notes in Earth Sciences series (Volume 112), bridges theory and practical applications across climatology, geodynamics, and solar-terrestrial physics. The book addresses the critical role of enlarged datasets and sophisticated analytical methods in understanding Earth's complex mechanisms, covering both univariate and multivariate time series essential for studying dynamical processes. Designed for advanced students and researchers, it combines classical linear approaches with modern nonlinear techniques, offering insights into power spectrum estimation and contemporary analysis methods that have shaped geophysics and astrophysics research. An indispensable resource for those seeking to master time series analysis in earth sciences.

Key Features

Covers nonlinear time series analysis methods specifically tailored for geosciences applications and complex system research.

Includes multivariate time series techniques essential for studying dynamical processes in climatology and geodynamics.

Part of Springer's Lecture Notes in Earth Sciences series, Volume 112, providing rigorous academic treatment of the subject.

Integrates applications across climatology, geodynamics, and solar-terrestrial physics for comprehensive interdisciplinary understanding.

Addresses both classical linear and advanced nonlinear approaches to power spectra estimation and data analysis.

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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