Multivariate Analysis of Ecological Data Using CANOCO

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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 of Ecological Data using CANOCO 5

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Publisher : Cambridge University Press
ISBN 13 : 1139953044
Total Pages : 375 pages
Book Rating : 4.1/5 (399 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: This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species functional traits and spatial structures analysed. Nine case studies of varying difficulty help to illustrate the suggested analytical methods, using the latest version of Canoco 5. All studies utilise descriptive and manipulative approaches, and are supported by data sets and project files available from the book website: http://regent.prf.jcu.cz/maed2/. Written primarily for community ecologists needing to analyse data resulting from field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulation.

Multivariate Analysis of Ecological Data using CANOCO 5

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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.

Multivariate Analysis of Ecological Data Using CANOCO

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (638 download)

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

Download or read book Multivariate Analysis of Ecological Data Using CANOCO written by Jan Leps and published by . This book was released on 2003 with total page 0 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.

Multivariate Analysis of Ecological Data with ade4

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Author :
Publisher : Springer
ISBN 13 : 1493988506
Total Pages : 334 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 334 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.

Analyzing Ecological Data

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Publisher : Springer
ISBN 13 : 0387459723
Total Pages : 686 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Analyzing Ecological Data by : Alain Zuur

Download or read book Analyzing Ecological Data written by Alain Zuur and published by Springer. This book was released on 2007-08-29 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Multivariate analysis in vegetation research

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Publisher : Springer
ISBN 13 : 9401756082
Total Pages : 286 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Multivariate analysis in vegetation research by : László Orlóci

Download or read book Multivariate analysis in vegetation research written by László Orlóci and published by Springer. This book was released on 2013-11-11 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Numerical Ecology

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Publisher : Elsevier
ISBN 13 : 008052317X
Total Pages : 870 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Numerical Ecology by : P. Legendre

Download or read book Numerical Ecology written by P. Legendre and published by Elsevier. This book was released on 1998-11-25 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the analysis of semiquantitative data, canonical analysis and spatial analysis. New sections have been added to almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables.

Sampling Design and Statistical Methods for Environmental Biologists

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Publisher : John Wiley & Sons
ISBN 13 : 9780471039013
Total Pages : 278 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Sampling Design and Statistical Methods for Environmental Biologists by : Roger H. Green

Download or read book Sampling Design and Statistical Methods for Environmental Biologists written by Roger H. Green and published by John Wiley & Sons. This book was released on 1979-05-01 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides--in an organized and compact source--a comprehensive guide to the principles of sampling design and statistical analysis methods. Reviews the principles of inference, sampling and statistical design, and hypothesis formulation, all with special reference to ecological data. Includes an impact study illustrating the principles presented. Contains a key to five broad categories of environmental studies--as well as examples and examines specific topics that apply to any environmental study. Provides a comprehensive bibliography which is cross-referenced to the text and keyed to a specific topic code (types of methods and environments studied).

Biostatistics with R

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Publisher : Cambridge University Press
ISBN 13 : 1108480381
Total Pages : 385 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Biostatistics with R by : Jan Lepš

Download or read book Biostatistics with R written by Jan Lepš and published by Cambridge University Press. This book was released on 2020-07-30 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.

Multivariate Analysis of Ecological Data

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Publisher :
ISBN 13 :
Total Pages : 396 pages
Book Rating : 4.:/5 (384 download)

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Book Synopsis Multivariate Analysis of Ecological Data by : Alison M. Kelly

Download or read book Multivariate Analysis of Ecological Data written by Alison M. Kelly and published by . This book was released on 1997 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Analysis in Vegetation Ecology, 3rd Edition

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Author :
Publisher : CABI
ISBN 13 : 1786394227
Total Pages : 357 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 357 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.

Multivariate Analysis in Community Ecology

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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.

The Interpretation of Ecological Data

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Publisher : John Wiley & Sons
ISBN 13 : 9780471889502
Total Pages : 278 pages
Book Rating : 4.8/5 (895 download)

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Book Synopsis The Interpretation of Ecological Data by : E. C. Pielou

Download or read book The Interpretation of Ecological Data written by E. C. Pielou and published by John Wiley & Sons. This book was released on 1984-09-06 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand, not just mechanically use, pre-packaged programs for multivariate analysis. Demonstrates these techniques using artificial data simple enough for every analytical step to be understood.

Using R for Introductory Statistics

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Publisher : CRC Press
ISBN 13 : 1315360306
Total Pages : 522 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Using R for Introductory Statistics by : John Verzani

Download or read book Using R for Introductory Statistics written by John Verzani and published by CRC Press. This book was released on 2018-10-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.