000			01540 a2200181 4500
020			_a9781316600245
040			_cIIT Kanpur
041			_aeng
082			_a515.24330155 _bC872p
100			_aCrockett, Robin
245			_aA primer on fourier analysis for the geosciences _cRobin Crockett
260			_bCambridge University Press _c2019 _aCambridge
300			_axiv, 176p
520			_aTime-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.
650			_aFourier analysis
650			_aEarth sciences -- Mathematics
942			_cBK
999			_c560807 _d560807