Data-driven Modelling of Structured Populations (e-book) (used book) | bookbook.eu

Description

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.

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.