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Ecological Models and Data in R

2008-07-21 Computers
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Release : 2008-07-21
Genre : Computers
Kind : eBook
Book Rating : 228/5 ( reviews)

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Book Synopsis Ecological Models and Data in R by : Benjamin M. Bolker

Download or read book Ecological Models and Data in R written by Benjamin M. Bolker. This book was released on 2008-07-21. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

A Practical Guide to Ecological Modelling

2008-10-14 Science
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Release : 2008-10-14
Genre : Science
Kind : eBook
Book Rating : 245/5 ( reviews)

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Book Synopsis A Practical Guide to Ecological Modelling by : Karline Soetaert

Download or read book A Practical Guide to Ecological Modelling written by Karline Soetaert. This book was released on 2008-10-14. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modelling is an essential tool in present-day ecological research. Yet for many ecologists it is still problematic to apply modelling in their research. In our experience, the major problem is at the conceptual level: proper understanding of what a model is, how ecological relations can be translated consistently into mathematical equations, how models are solved, steady states calculated and interpreted. Many textbooks jump over these conceptual hurdles to dive into detailed formulations or the mathematics of solution. This book attempts to fill that gap. It introduces essential concepts for mathematical modelling, explains the mathematics behind the methods, and helps readers to implement models and obtain hands-on experience. Throughout the book, emphasis is laid on how to translate ecological questions into interpretable models in a practical way. The book aims to be an introductory textbook at the undergraduate-graduate level, but will also be useful to seduce experienced ecologists into the world of modelling. The range of ecological models treated is wide, from Lotka-Volterra type of principle-seeking models to environmental or ecosystem models, and including matrix models, lattice models and sequential decision models. All chapters contain a concise introduction into the theory, worked-out examples and exercises. All examples are implemented in the open-source package R, thus taking away problems of software availability for use of the book. All code used in the book is available on a dedicated website.

Mixed Effects Models and Extensions in Ecology with R

2009-03-05 Science
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Release : 2009-03-05
Genre : Science
Kind : eBook
Book Rating : 585/5 ( reviews)

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Book Synopsis Mixed Effects Models and Extensions in Ecology with R by : Alain Zuur

Download or read book Mixed Effects Models and Extensions in Ecology with R written by Alain Zuur. This book was released on 2009-03-05. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

Models for Ecological Data

2020-10-06 Science
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Release : 2020-10-06
Genre : Science
Kind : eBook
Book Rating : 123/5 ( reviews)

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Book Synopsis Models for Ecological Data by : James S. Clark

Download or read book Models for Ecological Data written by James S. Clark. This book was released on 2020-10-06. Available in PDF, EPUB and Kindle. Book excerpt: The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately

Spatial Ecology and Conservation Modeling

2019-02-15 Science
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Release : 2019-02-15
Genre : Science
Kind : eBook
Book Rating : 896/5 ( reviews)

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Book Synopsis Spatial Ecology and Conservation Modeling by : Robert Fletcher

Download or read book Spatial Ecology and Conservation Modeling written by Robert Fletcher. This book was released on 2019-02-15. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a foundation for modern applied ecology. Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and processes. This book is aimed at teaching fundamental concepts and focuses on learning-by-doing through the use of examples with the software R. It is intended to provide an entry-level, easily accessible foundation for students and practitioners interested in spatial ecology and conservation.

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