A Primer on Fourier Analysis for the Geosciences

Author:   Robin Crockett (University of Northampton)
Publisher:   Cambridge University Press
ISBN:  

9781107142886


Pages:   188
Publication Date:   14 February 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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A Primer on Fourier Analysis for the Geosciences


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Overview

Time-series analysis is used to identify and quantify periodic features in datasets and has many applications across the geosciences, from analysing weather data, to solid-Earth geophysical modelling. This intuitive introduction provides a practical 'how-to' guide to basic Fourier theory, with a particular focus on Earth system applications. The book starts with a discussion of statistical correlation, before introducing Fourier series and building to the fast Fourier transform (FFT) and related periodogram techniques. The theory is illustrated with numerous worked examples using R datasets, from Milankovitch orbital-forcing cycles to tidal harmonics and exoplanet orbital periods. These examples highlight the key concepts and encourage readers to investigate more advanced time-series techniques. The book concludes with a consideration of statistical effect size and significance. This useful book is ideal for graduate students and researchers in the Earth system sciences who are looking for an accessible introduction to time-series analysis.

Full Product Details

Author:   Robin Crockett (University of Northampton)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 15.80cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.420kg
ISBN:  

9781107142886


ISBN 10:   1107142881
Pages:   188
Publication Date:   14 February 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

Advance praise: 'This textbook is an excellent resource for students and researchers interested in time series and spectral analyses for a variety of geoscience problems, from seismology to climate change. It provides the theory behind these topics, with examples, in a methodical and easy to understand way, combined with ready-to-use computer programs.' Shimon Wdowinski, Florida International University Advance praise: 'This is a perfect book for researchers wanting to know how to perform time series analysis using the Fast Fourier Transform. The examples from Earth sciences and the R codes are especially useful for young scientists and newcomers in the field of time series analysis.' Francois G. Schmitt, Centre National de la Recherche Scientifique (CNRS), Paris


'This textbook is an excellent resource for students and researchers interested in time series and spectral analyses for a variety of geoscience problems, from seismology to climate change. It provides the theory behind these topics, with examples, in a methodical and easy to understand way, combined with ready-to-use computer programs.' Shimon Wdowinski, Florida International University 'This is a perfect book for researchers wanting to know how to perform time series analysis using the Fast Fourier Transform. The examples from Earth sciences and the R codes are especially useful for young scientists and newcomers in the field of time series analysis.' Francois G. Schmitt, Centre National de la Recherche Scientifique (CNRS), Paris


Author Information

Robin Crockett is Reader in Data Analysis in the Faculty of Arts, Science and Technology at the University of Northampton. He is a member of the Institute of Mathematics and its Applications (IMA) and the Institute of Physics (IOP) and holds Chartered Scientist Status. He specialises in investigating periodic, recurrent and anomalous features in data, and has led a highly successful short course on Fourier analysis at the European Geosciences Union General Assembly for many years.

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