
Chaos in Real Data
The Analysis of Non-Linear Dynamics from Short Ecological Time Series
Springer (Publisher)
Published on 12. October 2012
Book
Paperback/Softback
XII, 226 pages
978-94-010-5772-1 (ISBN)
Description
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.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2000
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
XII, 226 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
376 gr
ISBN-13
978-94-010-5772-1 (9789401057721)
DOI
10.1007/978-94-011-4010-2
Schweitzer Classification
Other editions
Additional editions

J.N. Perry | R.H. Smith | I.P. Woiwod
Chaos in Real Data
The Analysis of Non-Linear Dynamics from Short Ecological Time Series
E-Book
12/2012
Springer
€96.29
Available for download

J.N. Perry | R.H. Smith | I.P. Woiwod
Chaos in Real Data
The Analysis of Non-Linear Dynamics from Short Ecological Time Series
Book
05/2000
Chapman and Hall
€106.99
Shipment within 10-20 days
Content
1 Defining chaos for real, noisy data: local Lyapunov exponents and sensitive response to perturbations.- 2 Modelling time-series data.- 3 Measles as a testbed for characterising nonlinear behaviour in ecology.- 4 Population dynamics of small rodents in northern Fennoscandia.- 5 Analysis of population fluctuations in the aphid Hyperomyzus lactucae and the moth Perizoma alchemillata.- 6 One, two and three-species time series from a host-pathogen-parasitoid system.- 7 Blowflies as a case study in non-linear population dynamics.- 8 Overview.- 9 A glossary of terms used in nonlinear dynamics.