Skip to content

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

Spend $50 to get a free DVD!

ISBN-10: 0521019834

ISBN-13: 9780521019835

Edition: 2005

Authors: Graham P. Weedon

Shipping box This item qualifies for FREE shipping.
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!


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 analyze 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, and wavelet and singular spectrum analysis. Practical problems of time-series analysis are considered in detail. Recent research into various types of tidal and climatic cycles is summarized.
Customers also bought

Book details

Copyright year: 2005
Publisher: Cambridge University Press
Publication date: 9/15/2005
Binding: Paperback
Pages: 276
Size: 6.50" wide x 9.25" long x 0.50" tall
Weight: 0.990
Language: English

Graham Weedon is Senior Lecturer in Geology at the University of Luton. His current research involves studying records of annual cycles in cave calcite, ENSO cycles in varved sediment and Milankovitch cycles in ancient deep-sea sediments. He received a D.Phil from Oxford University in 1987, and has participated in Ocean Drilling Program cruises, off Oman (1987), Brazil (1994) and New Zealand (1998). In 1999 he co-convened a Royal Society Meeting entitled 'Astronomical Calibration of the Geological Time Scale'.

Constructing time series in cyclostratigraphy
Spectral estimation
Additional methods of time-series analysis
Practical considerations
Environmental cycles recorded stratigraphically
Appendix. Published algorithms for time-series analysis