Multivariate Analysis of Ecological Data using CANOCO 5

Multivariate Analysis of Ecological Data using CANOCO 5

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  • Author: Petr Šmilauer
  • Publisher: Cambridge University Press
  • ISBN: 1139953044
  • Category : Nature
  • Languages : en
  • Pages :

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

Multivariate Analysis of Ecological Data using CANOCO 5

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  • Author: Petr Šmilauer
  • Publisher: Cambridge University Press
  • ISBN: 110769440X
  • Category : Nature
  • Languages : en
  • Pages : 375

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

Multivariate Analysis of Ecological Data Using CANOCO

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  • Author: Jan Lepš
  • Publisher: Cambridge University Press
  • ISBN: 9780521891080
  • Category : Computers
  • Languages : en
  • Pages : 296

Table of contents


Multivariate Analysis of Ecological Data Using CANOCO

Multivariate Analysis of Ecological Data Using CANOCO

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  • Author: Jan Leps
  • Publisher:
  • ISBN:
  • Category : Ecology
  • Languages : en
  • Pages : 0


The Interpretation of Ecological Data

The Interpretation of Ecological Data

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  • Author: E. C. Pielou
  • Publisher: John Wiley & Sons
  • ISBN: 9780471889502
  • Category : Science
  • Languages : en
  • Pages : 278

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.


Analyzing Ecological Data

Analyzing Ecological Data

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  • Author: Alain Zuur
  • Publisher: Springer
  • ISBN: 0387459723
  • Category : Science
  • Languages : en
  • Pages : 686

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.


Handbook of Environmental and Ecological Statistics

Handbook of Environmental and Ecological Statistics

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  • Author: Alan E. Gelfand
  • Publisher: CRC Press
  • ISBN: 1351648543
  • Category : Mathematics
  • Languages : en
  • Pages : 679

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.


Multivariate Analysis in Community Ecology

Multivariate Analysis in Community Ecology

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  • Author: Hugh G. Gauch
  • Publisher: Cambridge University Press
  • ISBN: 9780521282406
  • Category : Mathematics
  • Languages : en
  • Pages : 320

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.


Randomization, Bootstrap and Monte Carlo Methods in Biology

Randomization, Bootstrap and Monte Carlo Methods in Biology

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  • Author: Bryan F.J. Manly
  • Publisher: CRC Press
  • ISBN: 1000080544
  • Category : Mathematics
  • Languages : en
  • Pages : 241

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods Makes it easy for biologists, researchers, and students to understand the methods used Provides information about computer programs and packages to implement calculations, particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a range of disciplines. The detailed, worked examples of real applications will enable practitioners to apply the methods to their own biological data.


Statistical Analysis of Ecotoxicity Studies

Statistical Analysis of Ecotoxicity Studies

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  • Author: John W. Green
  • Publisher: John Wiley & Sons
  • ISBN: 1119488826
  • Category : Science
  • Languages : en
  • Pages : 416

A guide to the issues relevant to the design, analysis, and interpretation of toxicity studies that examine chemicals for use in the environment Statistical Analysis of Ecotoxicity Studies offers a guide to the design, analysis, and interpretation of a range of experiments that are used to assess the toxicity of chemicals. While the book highlights ecotoxicity studies, the methods presented are applicable to the broad range of toxicity studies. The text contains myriad datasets (from laboratory and field research) that clearly illustrate the book's topics. The datasets reveal the techniques, pitfalls, and precautions derived from these studies. The text includes information on recently developed methods for the analysis of severity scores and other ordered responses, as well as extensive power studies of competing tests and computer simulation studies of regression models that offer an understanding of the sensitivity (or lack thereof) of various methods and the quality of parameter estimates from regression models. The authors also discuss the regulatory process indicating how test guidelines are developed and review the statistical methodology in current or pending OECD and USEPA ecotoxicity guidelines. This important guide: Offers the information needed for the design and analysis to a wide array of ecotoxicity experiments and to the development of international test guidelines used to assess the toxicity of chemicals Contains a thorough examination of the statistical issues that arise in toxicity studies, especially ecotoxicity Includes an introduction to toxicity experiments and statistical analysis basics Includes programs in R and excel Covers the analysis of continuous and Quantal data, analysis of data as well as Regulatory Issues Presents additional topics (Mesocosm and Microplate experiments, mixtures of chemicals, benchmark dose models, and limit tests) as well as software Written for directors, scientists, regulators, and technicians, Statistical Analysis of Ecotoxicity Studies provides a sound understanding of the technical and practical issues in designing, analyzing, and interpreting toxicity studies to support or challenge chemicals for use in the environment.