Ecological Models and Data in R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ecological Models and Data in R write by Benjamin M. Bolker. This book was released on 2008-07-21. Ecological Models and Data in R available in PDF, EPUB and Kindle. 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.
Ecological Models and Data in R
Ecological Models and Data in R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ecological Models and Data in R write by Benjamin M. Bolker. This book was released on 2008-07-01. Ecological Models and Data in R available in PDF, EPUB and Kindle. Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics. Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R Step-by-step instructions for fitting models to messy, real-world data Balanced view of different statistical approaches Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) Techniques for data manipulation and graphical display Companion Web site with data and R code for all examples
A Practical Guide to Ecological Modelling
A Practical Guide to Ecological Modelling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Practical Guide to Ecological Modelling write by Karline Soetaert. This book was released on 2008-10-14. A Practical Guide to Ecological Modelling available in PDF, EPUB and Kindle. 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
Mixed Effects Models and Extensions in Ecology with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mixed Effects Models and Extensions in Ecology with R write by Alain Zuur. This book was released on 2009-03-05. Mixed Effects Models and Extensions in Ecology with R available in PDF, EPUB and Kindle. 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.
Ecological Models and Data in R
Ecological Models and Data in R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ecological Models and Data in R write by Benjamin M. Bolker. This book was released on 2008. Ecological Models and Data in R available in PDF, EPUB and Kindle. Covering the basic descriptions of different statistical frameworks and the philosophy of statistical modelling, this book describes the mathematical functions and probability distributions before showing the reader how to estimate parameters and confidence limits and choose among models.
