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Stephen P. Ellner - Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model - 9783319288918 - V9783319288918
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Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model

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Description for Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model Paperback. Series: Lecture Notes on Mathematical Modelling in the Life Sciences. Num Pages: 342 pages, 38 black & white illustrations, 29 colour illustrations, 30 colour tables, biography. BIC Classification: PDE; PSA. Category: (G) General (US: Trade). Dimension: 235 x 155 x 18. Weight in Grams: 528.
This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously ... Read more

Product Details

Publisher
Springer International Publishing AG
Format
Paperback
Publication date
2016
Series
Lecture Notes on Mathematical Modelling in the Life Sciences
Condition
New
Weight
527g
Number of Pages
329
Place of Publication
Cham, Switzerland
ISBN
9783319288918
SKU
V9783319288918
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Stephen P. Ellner
Stephen Ellner is a Horace White Professor of EEB at Cornell University, Department of Ecology and Evolutionary Biology. His general interests are in theoretical population biology and evolutionary ecology. Dylan Childs is an NERC Postdoctoral Fellow at the University of Sheffield. His key research interests include life history theory, evolutionary demography, structured population modeling, and host-parasite dynamics.  ... Read more

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