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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data-Driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model

Data-Driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model

Childs, Dylan Z.
Ellner, Stephen P.
Rees, Mark

Paperback

Series: Lecture Notes on Mathematical Modelling in the Life Sciences

BiologyGeneral MathematicsGeneral Science

ISBN10: 3319288911
ISBN13: 9783319288918
Publisher: Springer
Published: May 24 2016
Pages: 329
Weight: 1.06
Height: 0.72 Width: 6.14 Depth: 9.21
Language: English
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 varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.

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