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Lecture Notes on Mathematical Modelling in the Life Sciences Ser.: Data-Driven Modelling of Structured Populations : A Practical Guide to the Integral Projection Model by Dylan Z. Childs, Stephen P. Ellner and Mark Rees (2016, Trade Paperback)
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About this product
Product Identifiers
PublisherSpringer International Publishing A&G
ISBN-103319288911
ISBN-139783319288918
eBay Product ID (ePID)219119426
Product Key Features
Number of PagesXiii, 329 Pages
Publication NameData-Driven Modelling of Structured Populations : a Practical Guide to the Integral Projection Model
LanguageEnglish
Publication Year2016
SubjectApplied, Statistics, Life Sciences / Biology, Research & Methodology
TypeTextbook
AuthorDylan Z. Childs, Stephen P. Ellner, Mark Rees
Subject AreaMathematics, Social Science, Science
SeriesLecture Notes on Mathematical Modelling in the Life Sciences Ser.
FormatTrade Paperback
Dimensions
Item Weight183.8 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Original LanguageEnglish
Dewey Decimal304.6015118
Table Of ContentIntroduction.- Simple Deterministic IPM.- Basic Analysis 1: Demographic Measures and Events in the Life Cycle.- Basic Analysis 2: Prospective Perturbation Analysis.- Density Dependence.- General Deterministic IPM.- Environmental Stochasticity.- Spatial Models.- Evolutionary Demography.- Future Directions and Advanced Topics.
SynopsisThis 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.
LC Classification NumberQH323.5
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