Multivariate Analysis in Community Ecology

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Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521282406
Total Pages : 320 pages
Book Rating : 4.2/5 (824 download)

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Book Synopsis Multivariate Analysis in Community Ecology by : Hugh G. Gauch

Download or read book Multivariate Analysis in Community Ecology written by Hugh G. Gauch and published by Cambridge University Press. This book was released on 1982-02-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A full description of computer-based methods of analysis used to define and solve ecological problems. Multivariate techniques permit summary of complex sets of data and allow investigation of many problems which cannot be tackled experimentally because of practical restraints.

Multivariate Analysis of Ecological Communities

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Publisher : Springer Science & Business Media
ISBN 13 : 9400931352
Total Pages : 215 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Multivariate Analysis of Ecological Communities by : P.G.N. Digby

Download or read book Multivariate Analysis of Ecological Communities written by P.G.N. Digby and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Analysis of Ecological Data

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Author :
Publisher : Fundacion BBVA
ISBN 13 : 8492937505
Total Pages : 336 pages
Book Rating : 4.4/5 (929 download)

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Book Synopsis Multivariate Analysis of Ecological Data by : Michael Greenacre

Download or read book Multivariate Analysis of Ecological Data written by Michael Greenacre and published by Fundacion BBVA. This book was released on 2014-01-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Community Ecology

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Publisher : Pelagic Publishing Ltd
ISBN 13 : 1907807632
Total Pages : 553 pages
Book Rating : 4.9/5 (78 download)

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Book Synopsis Community Ecology by : Mark Gardener

Download or read book Community Ecology written by Mark Gardener and published by Pelagic Publishing Ltd. This book was released on 2014-02-01 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel. Microsoft's Excel spreadsheet is virtually ubiquitous and familiar to most computer users. It is a robust program that makes an excellent storage and manipulation system for many kinds of data, including community data. The R program is a powerful and flexible analytical system able to conduct a huge variety of analytical methods, which means that the user only has to learn one program to address many research questions. Its other advantage is that it is open source and therefore completely free. Novel analytical methods are being added constantly to the already comprehensive suite of tools available in R. Mark Gardener is both an ecologist and an analyst. He has worked in a range of ecosystems around the world and has been involved in research across a spectrum of community types. His knowledge of R is largely self-taught and this gives him insight into the needs of students learning to use R for complicated analyses.

Analysis of Ecological Communities

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Author :
Publisher : Mjm Software Design
ISBN 13 : 9780972129008
Total Pages : 300 pages
Book Rating : 4.1/5 (29 download)

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Book Synopsis Analysis of Ecological Communities by : Bruce McCune

Download or read book Analysis of Ecological Communities written by Bruce McCune and published by Mjm Software Design. This book was released on 2002 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Ecological Communities offers a rationale and guidance for selecting appropriate, effective, analytical methods in community ecology. The book is suitable as a textbook and reference book on methods for multivariate analysis of ecological communities and their environments. The book covers distance measures, data transformation, outlier analysis, coordination, cluster analysis, PCA RA, CA, DCA, NMS, NMS, CCA, Bray-Curtis, MRPP, Mantel test, discriminant analysis, twinspan, classification and regression trees, structural equation modeling, and more. It also includes brief treatments of community sampling and diversity measures. The 304 page book is richly illustrated. It provides many examples from the literature and demonstrations of basic principles with simulated and real data sets.

Multivariate Analysis for Community Ecologists

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Publisher :
ISBN 13 :
Total Pages : 192 pages
Book Rating : 4.:/5 (118 download)

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Book Synopsis Multivariate Analysis for Community Ecologists by : JeriLynn E. Peck

Download or read book Multivariate Analysis for Community Ecologists written by JeriLynn E. Peck and published by . This book was released on 2016 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Analysis in Community Ecology

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Author :
Publisher :
ISBN 13 :
Total Pages : 298 pages
Book Rating : 4.:/5 (78 download)

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Book Synopsis Multivariate Analysis in Community Ecology by : Hugh G. Gauch (Jr.)

Download or read book Multivariate Analysis in Community Ecology written by Hugh G. Gauch (Jr.) and published by . This book was released on 1991 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Numerical Ecology with R

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Author :
Publisher : Springer
ISBN 13 : 331971404X
Total Pages : 435 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Numerical Ecology with R by : Daniel Borcard

Download or read book Numerical Ecology with R written by Daniel Borcard and published by Springer. This book was released on 2018-03-19 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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/).

Multivariate Analysis of Ecological Data Using CANOCO

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Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521891080
Total Pages : 296 pages
Book Rating : 4.8/5 (91 download)

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Book Synopsis Multivariate Analysis of Ecological Data Using CANOCO by : Jan Lepš

Download or read book Multivariate Analysis of Ecological Data Using CANOCO written by Jan Lepš and published by Cambridge University Press. This book was released on 2003-05-29 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents

Multivariate Analysis in Community Ecology

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Author :
Publisher :
ISBN 13 :
Total Pages : 298 pages
Book Rating : 4.:/5 (78 download)

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Book Synopsis Multivariate Analysis in Community Ecology by : H. G. Gauch Jr.

Download or read book Multivariate Analysis in Community Ecology written by H. G. Gauch Jr. and published by . This book was released on 1994 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Analysis in Community and Landscape Ecology

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Publisher : Cambridge University Press
ISBN 13 : 0521475740
Total Pages : 325 pages
Book Rating : 4.5/5 (214 download)

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Book Synopsis Data Analysis in Community and Landscape Ecology by : R. H. Jongman

Download or read book Data Analysis in Community and Landscape Ecology written by R. H. Jongman and published by Cambridge University Press. This book was released on 1995-03-02 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.

Eco-Stats: Data Analysis in Ecology

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Publisher : Springer Nature
ISBN 13 : 3030884430
Total Pages : 434 pages
Book Rating : 4.0/5 (38 download)

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

Download or read book Eco-Stats: Data Analysis in Ecology written by David I Warton and published by Springer Nature. This book was released on 2022-08-10 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Vegetation Description and Data Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1119962390
Total Pages : 507 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Vegetation Description and Data Analysis by : Martin Kent

Download or read book Vegetation Description and Data Analysis written by Martin Kent and published by John Wiley & Sons. This book was released on 2011-11-14 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vegetation Description and Data Analysis: A PracticalApproach, Second Edition is a fully revised and up-datededition of this key text. The book takes account of recent advancesin the field whilst retaining the original reader-friendly approachto the coverage of vegetation description and multivariate analysisin the context of vegetation data and plant ecology. Since the publication of the hugely popular first edition therehave been significant developments in computer hardware andsoftware, new key journals have been established in the field andscope and application of vegetation description and analysis hasbecome a truly global field. This new edition includes fullcoverage of new developments and technologies. This contemporary and comprehensive edition of this well-known andrespected textbook will prove invaluable to undergraduate andgraduate students in biological sciences, environmental science,geography, botany, agriculture, forestry and biologicalconservation. * Fully international approach * Includes illustrative case studies throughout * Now with new material on: the nature of plant communities;transitional areas between plant communities; induction anddeduction of plant ecology; diversity indices and dominancediversity curves; multivariate analysis in ecology. * Accessible, reader-friendly style * Now with new and improved illustrations

Multivariate Analysis of Ecological Data with ade4

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Author :
Publisher : Springer
ISBN 13 : 1493988506
Total Pages : 329 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Multivariate Analysis of Ecological Data with ade4 by : Jean Thioulouse

Download or read book Multivariate Analysis of Ecological Data with ade4 written by Jean Thioulouse and published by Springer. This book was released on 2018-11-08 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods. The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs. In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.

Data Analysis in Vegetation Ecology, 3rd Edition

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Publisher : CABI
ISBN 13 : 1786394227
Total Pages : 355 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Data Analysis in Vegetation Ecology, 3rd Edition by : Otto Wildi

Download or read book Data Analysis in Vegetation Ecology, 3rd Edition written by Otto Wildi and published by CABI. This book was released on 2017-10-16 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis. The book succinctly illustrates the various paths leading to high quality data suitable for pattern recognition, pattern testing, static and dynamic modelling and model testing including spatial and temporal aspects of ecosystems. Step-by-step introductions using small examples lead to more demanding approaches illustrated by real world examples aimed at explaining interpretations. All data sets and examples described in the book are available online and are written using the freely available statistical package R. This book will be of particular value to beginning graduate students and postdoctoral researchers of vegetation ecology, ecological data analysis, and ecological modelling, and experienced researchers needing a guide to new methods. A completely revised and updated edition of this popular introduction to data analysis in vegetation ecology. Includes practical step-by-step examples using the freely available statistical package R. Complex concepts and operations are explained using clear illustrations and case studies relating to real world phenomena. Emphasizes method selection rather than just giving a set of recipes.

Statistics for Ecologists Using R and Excel

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Author :
Publisher : Pelagic Publishing Ltd
ISBN 13 : 1784271411
Total Pages : 503 pages
Book Rating : 4.7/5 (842 download)

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Book Synopsis Statistics for Ecologists Using R and Excel by : Mark Gardener

Download or read book Statistics for Ecologists Using R and Excel written by Mark Gardener and published by Pelagic Publishing Ltd. This book was released on 2017-01-16 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Multivariate Analysis of Ecological Data using CANOCO 5

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Author :
Publisher : Cambridge University Press
ISBN 13 : 110769440X
Total Pages : 375 pages
Book Rating : 4.1/5 (76 download)

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Book Synopsis Multivariate Analysis of Ecological Data using CANOCO 5 by : Petr Šmilauer

Download or read book Multivariate Analysis of Ecological Data using CANOCO 5 written by Petr Šmilauer and published by Cambridge University Press. This book was released on 2014-04-17 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to the theory and practice of multivariate analysis for graduates, researchers and professionals dealing with ecological problems.