Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series (Population and Community Biology Series, 27)

ISBN 10: 0412796902 / ISBN 13: 9780412796906

Published by Springer, 2000

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Bibliographic Details

• Title: Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series (Population and Community Biology Series, 27)
• Publisher: Springer
• Publication Date: 2000
• Language: English
• ISBN 10: 0412796902
• ISBN 13: 9780412796906
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Chaos in Real Data studies the range of data analytic techniques available to study nonlinear population dynamics for ecological time series. Several case studies are studied using typically short and noisy population data from field and laboratory. A range of modern approaches, such as response surface methodology and mechanistic mathematical modelling, are applied to several case studies. Experts honestly appraise how well these methods have performed on their data. The accessible style of the book ensures its readability for non-quantitative biologists. The data remain available, as benchmarks for future study, on the worldwide web.

Synopsis

This textbook covers the estimation of the parameters of the underlying dynamical process. It looks at the development of techniques of estimation for short ecological time-series where the number of generations ranges typically from about 20 to 70. The book should be most suited to researchers in universities and research institutes wishing to become acquainted with these methods. It is practical and is based around examples of real data.