
A Primer on Fourier Analysis for the Geosciences
$134.28
- Paperback
188 pages
- Release Date
14 February 2019
Summary
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 rela…
Book Details
| ISBN-13: | 9781316600245 |
|---|---|
| ISBN-10: | 1316600246 |
| Author: | Robin Crockett |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Paperback |
| Number of Pages: | 188 |
| Release Date: | 14 February 2019 |
| Weight: | 310g |
| Dimensions: | 228mm x 151mm x 10mm |
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What They're Saying
Critics Review
‘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.’ François G. Schmitt, Centre National de la Recherche Scientifique (CNRS), Paris
About The Author
Robin Crockett
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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