Time-Series Analysis and Cyclostratigraphy
Examining Stratigraphic Records of Environmental Cycles

An essential reference for researchers, and suitable for senior undergraduate and graduate courses in environmental science, palaeoceanography and geology.

Graham P. Weedon (Author)

9780521019835, Cambridge University Press

Paperback, published 15 September 2005

276 pages, 136 b/w illus.
24.5 x 17 x 1.5 cm, 0.444 kg

'… a book that deserves attention by any researchers in Earth's climate history. … A time-series novice will learn enough from it to explore the technical literature. A time-series veteran will gain perspective on several controversial research topics.' International Geology Review

Increasingly environmental scientists, palaeoceanographers and geologists are collecting quantitative records of environmental changes (time-series) from sediments, ice cores, cave calcite, corals and trees. This book explains how to analyse these records, using straightforward explanations and diagrams rather than formal mathematical derivations. All the main cyclostratigraphic methods are covered including spectral analysis, cross-spectral analysis, filtering, complex demodulation, wavelet and singular spectrum analysis. Practical problems of time-series analysis, including those of distortions of environmental signals during stratigraphic encoding, are considered in detail. Recent research into various types of tidal and climatic cycles is summarised. The book ends with an extensive reference section, and an appendix listing sources of computer algorithms. This book provides the ideal reference for all those using time-series analysis to study the nature and history of climatic and tidal cycles. It is suitable for senior undergraduate and graduate courses in environmental science, palaeoceanography and geology.

Preface
Acknowledgements
1. Introduction
2. Constructing time series in cyclostratigraphy
3. Spectral estimation
4. Additional methods of time-series analysis
5. Practical considerations
6. Environmental cycles recorded stratigraphically
Appendix. Published algorithms for time-series analysis
References.

Subject Areas: Stratigraphy [RBGH], Earth sciences [RB]