Overview
- The only comprehensive monograph on Integral Projection Models in ecology
- Accessible to beginners with minimal math and statistics background, but also includes cutting-edge research
- Presents a wide range of models, from simple to complex
- All steps are illustrated in the text by code in the open-source R language
- Complete code for all analyses and results provided online via GitHub
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes on Mathematical Modelling in the Life Sciences (LMML)
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Table of contents (10 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Mark Rees is a Professor in the Department of Animal and Plant Sciences at the University of Sheffield. His key research interests include evolution of plant reproductive strategies, modeling and management strategies for weed populations, population biology of invasive plants, and modeling structured populations using integral projection models.
Bibliographic Information
Book Title: Data-driven Modelling of Structured Populations
Book Subtitle: A Practical Guide to the Integral Projection Model
Authors: Stephen P. Ellner, Dylan Z. Childs, Mark Rees
Series Title: Lecture Notes on Mathematical Modelling in the Life Sciences
DOI: https://doi.org/10.1007/978-3-319-28893-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-28891-8Published: 24 May 2016
eBook ISBN: 978-3-319-28893-2Published: 13 May 2016
Series ISSN: 2193-4789
Series E-ISSN: 2193-4797
Edition Number: 1
Number of Pages: XIII, 329
Number of Illustrations: 38 b/w illustrations, 29 illustrations in colour
Topics: Mathematical and Computational Biology, Computer Appl. in Life Sciences