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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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Add Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series, 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 ran, Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series to the inventory that you are selling on WonderClubX
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Add Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series, 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 ran, Chaos in Real Data: The Analysis of Non-Linear Dynamics from Short Ecological Time Series to your collection on WonderClub |