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A Primer on Fourier Analysis for the Geosciences
Contributor(s): Crockett, Robin (Author)

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ISBN: 1316600246     ISBN-13: 9781316600245
Publisher: Cambridge University Press
OUR PRICE: $37.04  

Binding Type: Paperback - See All Available Formats & Editions
Published: February 2019
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Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Science | Earth Sciences - General
- Mathematics | Infinity
Dewey: 515.243
LCCN: 2018040454
Physical Information: 0.4" H x 9" W x 9" L (0.70 lbs) 188 pages
Features: Bibliography, Index, Price on Product
 
Descriptions, Reviews, Etc.
Publisher Description:
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.

Contributor Bio(s): Crockett, Robin: - 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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