The Interpretation Of Ecological Data

Author : E. C. Pielou
Publisher : John Wiley & Sons
ISBN 13 : 9780471889502
Total Pages : 278 pages
Book Rating : 4.04/5 ( download)

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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.

Author : Michael Greenacre
Publisher : Fundacion BBVA
ISBN 13 : 8492937505
Total Pages : 336 pages
Book Rating : 4.09/5 ( download)

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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.

Author : Alain Zuur
Publisher : Springer
ISBN 13 : 0387459723
Total Pages : 686 pages
Book Rating : 4.21/5 ( download)

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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.

Author : Jan Lepš
Publisher : Cambridge University Press
ISBN 13 : 9780521891080
Total Pages : 296 pages
Book Rating : 4.86/5 ( download)

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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

Author : R. H. Jongman
Publisher : Cambridge University Press
ISBN 13 : 0521475740
Total Pages : 325 pages
Book Rating : 4.47/5 ( download)

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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.

Author : A. J. Underwood
Publisher : Cambridge University Press
ISBN 13 : 9780521556965
Total Pages : 536 pages
Book Rating : 4.61/5 ( download)

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Download or read book Experiments in Ecology written by A. J. Underwood and published by Cambridge University Press. This book was released on 1997 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1996, this book is a logical and consistent approach to experimental design using statistical principles.

Author : P. Legendre
Publisher : Elsevier
ISBN 13 : 008052317X
Total Pages : 870 pages
Book Rating : 4.70/5 ( download)

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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.

Author : Jan Leps
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.07/5 ( download)

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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:

Author : Benjamin M. Bolker
Publisher : Princeton University Press
ISBN 13 : 0691125228
Total Pages : 408 pages
Book Rating : 4.20/5 ( download)

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Download or read book Ecological Models and Data in R written by Benjamin M. Bolker and published by Princeton University Press. This book was released on 2008-07-21 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : William K. Michener
Publisher : John Wiley & Sons
ISBN 13 : 1444311395
Total Pages : 194 pages
Book Rating : 4.96/5 ( download)

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Download or read book Ecological Data written by William K. Michener and published by John Wiley & Sons. This book was released on 2009-04-01 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecologists are increasingly tackling difficult issues like global change, loss of biodiversity and sustainability of ecosystem services. These and related topics are enormously challenging, requiring unprecedented multidisciplinary collaboration and rapid synthesis of large amounts of diverse data into information and ultimately knowledge. New sensors, computers, data collection and storage devices and analytical and statistical methods provide a powerful tool kit to support analyses, graphics and visualizations that were unthinkable even a few years ago. New and increased emphasis on accessibility, management, processing and sharing of high-quality, well-maintained and understandable data represents a significant change in how scientists view and treat data. These issues are complex and despite their importance, are typically not addressed in database, ecological and statistical textbooks. This book addresses these issues, providing a much needed resource for those involved in designing and implementing ecological research, as well as students who are entering the environmental sciences. Chapters focus on the design of ecological studies, data management principles, scientific databases, data quality assurance, data documentation, archiving ecological data and information and processing data into information and knowledge. The book stops short of a detailed treatment of data analysis, but does provide pointers to the relevant literature in graphics, statistics and knowledge discovery. The central thesis of the book is that high quality data management systems are critical for addressing future environmental challenges. This requires a new approach to how we conduct ecological research, that views data as a resource and promotes stewardship, recycling and sharing of data. Ecological Data will be particularly useful to those ecologists and information specialists that actively design, manage and analyze environmental databases. However, it will also benefit a wider audience of scientists and students in the ecological and environmental sciences.