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.
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Foreword; W.M. Schaffer. Preface; J.N. Perry. 1. Defining chaos for real, noisy data: local Lyapunov exponents and sensitive response to perturbations; S.P. Ellner. 2. Modelling time-series data; P. Turchin, S.P. Ellner. 3. Measles as a testbed for characterising nonlinear behaviour in ecology; B.T. Grenfell. 4. Population dynamics of small rodents in northern Fennoscandia; H. Henttonen, I. Hanski. 5. Analysis of population fluctuations in the aphid Hyperomyzus lactucae and the moth Perizoma alchemillata; I.P. Woiwod, P. Rothery, Xilong Zhou. 6. One, two and three-species time series from a host-pathogen-parasitoid systems; M. Begon, S.M. Sait, D.J. Thompson, Xilong Zhou, E.D. Bell. 7. Blowflies as a case study in non-linear population dynamics; R.H. Smith, S. Daniels, K. Simkiss, E.D. Bell, S.P. Ellner, M.B. Forrest. 8. Overview; J.N. Perry. 9. A glossary of terms used in nonlinear dynamics; D.R. Morse, J.N. Perry, R.H. Smith.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch. Codice articolo 9789401057721
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 laborat. Codice articolo 5832411
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Taschenbuch. Condizione: Neu. Chaos in Real Data | The Analysis of Non-Linear Dynamics from Short Ecological Time Series | J. N. Perry (u. a.) | Taschenbuch | xii | Englisch | 2012 | Springer | EAN 9789401057721 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 105994784
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch. Codice articolo 9789401057721
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