Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model

Data-driven Modelling of Structured Populations: A Practical Guide to the Integral Projection Model
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结构化总体的数据驱动建模:积分投影模型实用指南

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发表时间:
2016
期刊:
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通讯作者:
M. Rees
M. Rees
中科院分区:
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文献类型:
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作者:
S. Ellner;D. Childs;M. Rees

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这本书是如何指导使用积分投影模型(IPM)从观测数据开始的人口动态建模。它是由该领域的一个领先的研究团队编写的,包括R语言的代码(在文本和在线)来执行所有计算。本书的目标读者是对开发动植物种群数据驱动模型感兴趣的生态学家、进化生物学家和数学生物学家。ipm可能看起来很难,因为它们涉及到积分。本书的目的是揭开ipm的神秘面纱,使它们成为按大小或其他连续变化特征构成的种群的选择模型。这本书使用增加复杂性的真实例子,以显示研究生物体的生命周期如何自然地导致适当的统计分析,这直接导致IPM本身。介绍了广泛的模型类型和分析,包括模型构建、计算方法和基础理论,在方框和附录中提供了更多的技术材料。自包含的R代码复制了文本中的所有数字和计算,读者可以在GitHub上获得。Stephen P. Ellner,美国康奈尔大学生态学和进化生物学贺拉斯·怀特教授;Dylan Z. Childs,英国谢菲尔德大学动植物科学系讲师、NERC博士后;Mark Rees是英国谢菲尔德大学动植物科学系教授
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