| 书目名称 | Data-driven Modelling of Structured Populations |
| 副标题 | A Practical Guide to |
| 编辑 | Stephen P. Ellner,Dylan Z. Childs,Mark Rees |
| 视频video | |
| 概述 | 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 r |
| 丛书名称 | Lecture Notes on Mathematical Modelling in the Life Sciences |
| 图书封面 |  |
| 描述 | 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 Whit |
| 出版日期 | Book 2016 |
| 关键词 | Demographic measures; Deterministic IPM using R; Environmental Stochasticity; Integral Projection Model |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-28893-2 |
| isbn_softcover | 978-3-319-28891-8 |
| isbn_ebook | 978-3-319-28893-2Series ISSN 2193-4789 Series E-ISSN 2193-4797 |
| issn_series | 2193-4789 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 17:14:27
