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Environmental and Ecological Statistics with R

Song S. Qian

Author : Song S. Qian
Publisher : CRC Press
Page : 560 pages
File Size : 48,5 Mb
Release : 2016-11-03
Category : Mathematics
ISBN : 9781498728737

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Environmental and Ecological Statistics with R by Song S. Qian Pdf

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.

Environmental and Ecological Statistics with R, Second Edition

Song S. Qian

Author : Song S. Qian
Publisher : CRC Press
Page : 439 pages
File Size : 46,5 Mb
Release : 2016-11-03
Category : Mathematics
ISBN : 9781498728751

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Environmental and Ecological Statistics with R, Second Edition by Song S. Qian Pdf

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.

Environmental and Ecological Statistics with R

Song S. Qian

Author : Song S. Qian
Publisher : CRC Press
Page : 442 pages
File Size : 40,6 Mb
Release : 2009-08-19
Category : Mathematics
ISBN : 9781420062083

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Environmental and Ecological Statistics with R by Song S. Qian Pdf

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R connects applied statistics to the environmental and ecological fields. It follows the general approach to solving a statistical modeling problem, covering model specification, parameter estimation, and model evaluation. The author uses many exa

Statistics for Ecologists Using R and Excel

Mark Gardener

Author : Mark Gardener
Publisher : Pelagic Publishing Ltd
Page : 503 pages
File Size : 40,7 Mb
Release : 2017-01-16
Category : Science
ISBN : 9781784271411

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Statistics for Ecologists Using R and Excel by Mark Gardener Pdf

This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. – Amazon 5-star review It has been very easy to follow and will be perfect for anyone. – Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review

Numerical Ecology with R

Daniel Borcard,François Gillet,Pierre Legendre

Author : Daniel Borcard,François Gillet,Pierre Legendre
Publisher : Springer
Page : 435 pages
File Size : 52,8 Mb
Release : 2018-03-19
Category : Mathematics
ISBN : 9783319714042

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Numerical Ecology with R by Daniel Borcard,François Gillet,Pierre Legendre Pdf

This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the major methods. It also highlights important changes in the methods and expands upon topics such as multiple correspondence analysis, principal response curves and co-correspondence analysis. New features include the study of relationships between species traits and the environment, and community diversity analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as extra R functions and packages written by the authors of the book, are available online (URL: http://adn.biol.umontreal.ca/~numericalecology/numecolR/).

Ecological Models and Data in R

Benjamin M. Bolker

Author : Benjamin M. Bolker
Publisher : Princeton University Press
Page : 408 pages
File Size : 46,9 Mb
Release : 2008-07-21
Category : Computers
ISBN : 9780691125220

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Ecological Models and Data in R by Benjamin M. Bolker Pdf

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.

Handbook of Environmental and Ecological Statistics

Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith

Author : Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith
Publisher : CRC Press
Page : 679 pages
File Size : 48,8 Mb
Release : 2019-01-15
Category : Mathematics
ISBN : 9781351648547

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Handbook of Environmental and Ecological Statistics by Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith Pdf

This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.

Ecological Statistics

Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa

Author : Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa
Publisher : Oxford University Press
Page : 407 pages
File Size : 43,9 Mb
Release : 2015
Category : Science
ISBN : 9780199672547

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Ecological Statistics by Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa Pdf

An intermediate level text covering foundational ideas in statistics and their ecological application, including generalized linear and generalized mixed-effect models, as well as models allowing for mixtures, spatial or phylogenetic correlations, missing or censored data, and observational data; implemented in R and set within a contemporary research framework.

Applied Statistics for Environmental Science with R

Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli

Author : Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli
Publisher : Elsevier
Page : 240 pages
File Size : 51,6 Mb
Release : 2019-09-13
Category : Computers
ISBN : 9780128186237

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Applied Statistics for Environmental Science with R by Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli Pdf

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. Includes step-by-step tutorials to aid in understanding the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs Shows how to analyze data using R software and provides R scripts for all examples and figures

Multivariate Analysis of Ecological Data

Michael Greenacre,Raul Primicerio

Author : Michael Greenacre,Raul Primicerio
Publisher : Fundacion BBVA
Page : 336 pages
File Size : 50,8 Mb
Release : 2014-01-09
Category : Ecology
ISBN : 9788492937509

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Multivariate Analysis of Ecological Data by Michael Greenacre,Raul Primicerio Pdf

La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.

Statistical Data Analysis Explained

Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter

Author : Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter
Publisher : John Wiley & Sons
Page : 380 pages
File Size : 55,8 Mb
Release : 2011-08-31
Category : Science
ISBN : 9781119965282

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Statistical Data Analysis Explained by Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter Pdf

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.

Mixed Effects Models and Extensions in Ecology with R

Alain Zuur,Elena N. Ieno,Neil Walker,Anatoly A. Saveliev,Graham M. Smith

Author : Alain Zuur,Elena N. Ieno,Neil Walker,Anatoly A. Saveliev,Graham M. Smith
Publisher : Springer Science & Business Media
Page : 579 pages
File Size : 44,5 Mb
Release : 2009-03-05
Category : Science
ISBN : 9780387874586

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Mixed Effects Models and Extensions in Ecology with R by Alain Zuur,Elena N. Ieno,Neil Walker,Anatoly A. Saveliev,Graham M. Smith Pdf

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.

Analyzing Ecological Data

Alain Zuur,Elena N. Ieno,Graham M. Smith

Author : Alain Zuur,Elena N. Ieno,Graham M. Smith
Publisher : Springer
Page : 686 pages
File Size : 53,8 Mb
Release : 2007-08-29
Category : Science
ISBN : 9780387459721

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Analyzing Ecological Data by Alain Zuur,Elena N. Ieno,Graham M. Smith Pdf

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Eco-Stats: Data Analysis in Ecology

David I Warton

Author : David I Warton
Publisher : Springer Nature
Page : 434 pages
File Size : 41,9 Mb
Release : 2022-08-10
Category : Mathematics
ISBN : 9783030884437

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Eco-Stats: Data Analysis in Ecology by David I Warton Pdf

This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

Statistical Computation for Environmental Sciences in R

James S. Clark

Author : James S. Clark
Publisher : Princeton University Press
Page : 150 pages
File Size : 40,8 Mb
Release : 2007-06-03
Category : Mathematics
ISBN : 9780691122625

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Statistical Computation for Environmental Sciences in R by James S. Clark Pdf

Laboratory manual for: Models for ecological data.

Environmental And Ecological Statistics With R

Environmental and Ecological Statistics with R by Song S. Qian Pdf

Environmental and Ecological Statistics with R, Second Edition by Song S. Qian Pdf

Environmental and Ecological Statistics with R by Song S. Qian Pdf

Statistics for Ecologists Using R and Excel by Mark Gardener Pdf

Numerical Ecology with R by Daniel Borcard,François Gillet,Pierre Legendre Pdf

Ecological Models and Data in R by Benjamin M. Bolker Pdf

Handbook of Environmental and Ecological Statistics by Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith Pdf

Ecological Statistics by Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa Pdf

Applied Statistics for Environmental Science with R by Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli Pdf

Multivariate Analysis of Ecological Data by Michael Greenacre,Raul Primicerio Pdf

Statistical Data Analysis Explained by Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter Pdf

Mixed Effects Models and Extensions in Ecology with R by Alain Zuur,Elena N. Ieno,Neil Walker,Anatoly A. Saveliev,Graham M. Smith Pdf

Analyzing Ecological Data by Alain Zuur,Elena N. Ieno,Graham M. Smith Pdf

Eco-Stats: Data Analysis in Ecology by David I Warton Pdf

Statistical Computation for Environmental Sciences in R by James S. Clark Pdf

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