Eco Stats Data Analysis In Ecology

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Eco-Stats: Data Analysis in Ecology

David I Warton
Eco Stats Data Analysis in Ecology Book PDF

Author : David I Warton
Publisher : Springer
Page : 0 pages
File Size : 48,5 Mb
Release : 2022-08-12
Category : Mathematics
ISBN : 3030884422

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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.

Eco-Stats: Data Analysis in Ecology

David I Warton
Eco Stats Data Analysis in Ecology Book PDF

Author : David I Warton
Publisher : Springer Nature
Page : 434 pages
File Size : 50,5 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.

Analyzing Ecological Data

Alain Zuur,Elena N. Ieno,Graham M. Smith
Analyzing Ecological Data Book PDF

Author : Alain Zuur,Elena N. Ieno,Graham M. Smith
Publisher : Springer
Page : 686 pages
File Size : 49,7 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.

Statistical Ecology in Practice

Stephen Waite
Statistical Ecology in Practice Book PDF

Author : Stephen Waite
Publisher : Addison-Wesley Longman Limited
Page : 414 pages
File Size : 40,9 Mb
Release : 2000-01
Category : Science
ISBN : 0582236347

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Statistical Ecology in Practice by Stephen Waite Pdf

This text combines principles of good field ecology research design with practical statistical analysis, suited to the needs of advanced students taking Field Ecology courses or undertaking projects that contribute to their final degree classification.

Multivariate Analysis of Ecological Data

Michael Greenacre,Raul Primicerio
Multivariate Analysis of Ecological Data Book PDF

Author : Michael Greenacre,Raul Primicerio
Publisher : Fundacion BBVA
Page : 336 pages
File Size : 45,7 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 Ecology

John A. Ludwig,James F. Reynolds
Statistical Ecology Book PDF

Author : John A. Ludwig,James F. Reynolds
Publisher : John Wiley & Sons
Page : 362 pages
File Size : 48,8 Mb
Release : 1988-05-18
Category : Mathematics
ISBN : 0471832359

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Statistical Ecology by John A. Ludwig,James F. Reynolds Pdf

Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.

Statistics for Ecologists Using R and Excel

Mark Gardener
Statistics for Ecologists Using R and Excel Book PDF

Author : Mark Gardener
Publisher : Pelagic Publishing Ltd
Page : 503 pages
File Size : 55,7 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

A Primer of Ecological Statistics

Nicholas J. Gotelli,Aaron M. Ellison
A Primer of Ecological Statistics Book PDF

Author : Nicholas J. Gotelli,Aaron M. Ellison
Publisher : Sinauer
Page : 0 pages
File Size : 46,9 Mb
Release : 2013-03-14
Category : Science
ISBN : 1605350648

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A Primer of Ecological Statistics by Nicholas J. Gotelli,Aaron M. Ellison Pdf

A Primer of Ecological Statistics, Second Edition explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject. The book is divided into four parts. Part I discusses the fundamentals of probability and statistical thinking. It introduces the logic and language of probability (Chapter 1), explains common statistical distributions used in ecology (Chapter 2) and important measures of central tendency and spread (Chapter 3), explains P-values, hypothesis testing, and statistical errors (Chapter 4), and introduces frequentist, Bayesian, and Monte Carlo methods of analysis (Chapter 5). Part II discusses how to successfully design and execute field experiments and sampling studies. Topics include design strategies (Chapter 6), a 'bestiary' of experimental designs (Chapter 7), and transformations and data management (Chapter 8). Part III discusses specific analyses, and covers the material that is the main core of most statistics texts. Topics include regression (Chapter 9), analysis of variance (Chapter 10), categorical data analysis (Chapter 11), and multivariate analysis (Chapter 12). Part IV—new to this edition—discusses two central topics in estimating important ecological metrics. Topics include quantification of biological diversity (Chapter 13) and estimating occupancy, detection probability, and population sizes from marked and unmarked populations (Chapter 14). The book includes a comprehensive glossary, a mathematical appendix on matrix algebra, and extensively annotated tables and figures. Footnotes introduce advanced and ancillary material: some are purely historical, others cover mathematical/statistical proofs or details, and still others address current topics in the ecological literature. Data files and code used for some of the examples, as well as errata, are available online.

Environmental and Ecological Statistics with R, Second Edition

Song S. Qian
Environmental and Ecological Statistics with R Second Edition Book PDF

Author : Song S. Qian
Publisher : CRC Press
Page : 439 pages
File Size : 44,8 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.

Numerical Ecology

P. Legendre,Loic F J Legendre
Numerical Ecology Book PDF

Author : P. Legendre,Loic F J Legendre
Publisher : Elsevier
Page : 1006 pages
File Size : 43,9 Mb
Release : 2012-07-21
Category : Science
ISBN : 9780444538697

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Numerical Ecology by P. Legendre,Loic F J Legendre Pdf

The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research All calculations are available in R language functions

Ecological Models and Data in R

Benjamin M. Bolker
Ecological Models and Data in R Book PDF

Author : Benjamin M. Bolker
Publisher : Princeton University Press
Page : 408 pages
File Size : 44,6 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.

Mixed Effects Models and Extensions in Ecology with R

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

Author : Alain Zuur,Elena N. Ieno,Neil Walker,Anatoly A. Saveliev,Graham M. Smith
Publisher : Springer Science & Business Media
Page : 579 pages
File Size : 54,7 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.

Handbook of Environmental and Ecological Statistics

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

Author : Alan E. Gelfand,Montserrat Fuentes,Jennifer A. Hoeting,Richard Lyttleton Smith
Publisher : CRC Press
Page : 679 pages
File Size : 48,7 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
Ecological Statistics Book PDF

Author : Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa
Publisher : Oxford University Press
Page : 407 pages
File Size : 55,7 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.

Statistical Ecology

Linda J. Young,Jerry Young
Statistical Ecology Book PDF

Author : Linda J. Young,Jerry Young
Publisher : Springer Science & Business Media
Page : 581 pages
File Size : 50,5 Mb
Release : 2013-04-17
Category : Science
ISBN : 9781475728293

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Statistical Ecology by Linda J. Young,Jerry Young Pdf

Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist. Unique to this book is a focus on ecological data for single-species populations, from sampling through modeling. Examples come from real situations in pest management, forestry, wildlife biology, plant protection, and environmental studies, as well as from classical ecology. All those using this book will acquire a strong foundation in the statistical methods of modern ecological research. This textbook is for late undergraduate and graduate students, and for professionals.