Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model (Lecture Notes on Mathematical Modelling in the Life Sciences)

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Synopsis
This book is a "How To" guide formodeling population dynamics using Integral Projection Models (IPM) startingfrom observational data. It is written by a leading research team in this areaand includes code in the R language (in the text and online) to carry out allcomputations. The intended audience are ecologists, evolutionary biologists,and mathematical biologists interested in developing data-driven models foranimal and plant populations. IPMs may seem hard as they involve integrals. Theaim of this book is to demystify IPMs, so they become the model of choice forpopulations structured by size or other continuously varying traits. The bookuses real examples of increasing complexity to show how the life-cycle of thestudy organism naturally leads to the appropriate statistical analysis, whichleads directly to the IPM itself. A wide range of model types and analyses arepresented, including model construction, computational methods, and theunderlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculationswithin the text is available to readers on GitHub. Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.
Copyright:
2016

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783319288932
Related ISBNs:
9783319288918
Publisher:
Springer International Publishing, Cham
Date of Addition:
Copyrighted By:
Springer
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Mathematics and Statistics, Sociology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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