The Interpretation Of Ecological Data
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The Interpretation of Ecological Data
Author | : E. C. Pielou |
Publsiher | : John Wiley & Sons |
Total Pages | : 278 |
Release | : 1984-09-06 |
Genre | : Science |
ISBN | : 0471889504 |
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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.
Multivariate Analysis of Ecological Data
Author | : Michael Greenacre,Raul Primicerio |
Publsiher | : Fundacion BBVA |
Total Pages | : 336 |
Release | : 2014-01-09 |
Genre | : Ecology |
ISBN | : 9788492937509 |
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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.
Rationale for Sampling and Interpretation of Ecological Data in the Assessment of Freshwater Ecosystems
Author | : Billy G. Isom |
Publsiher | : ASTM International |
Total Pages | : 201 |
Release | : 1986 |
Genre | : Ecological assessment (Biology) |
ISBN | : 9780803104556 |
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Analyzing Ecological Data
Author | : Alain Zuur,Elena N. Ieno,Graham M. Smith |
Publsiher | : Springer |
Total Pages | : 686 |
Release | : 2007-08-29 |
Genre | : Science |
ISBN | : 9780387459721 |
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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
Author | : R. H. Jongman,C. J. F. Ter Braak,O. F. R. van Tongeren |
Publsiher | : Cambridge University Press |
Total Pages | : 325 |
Release | : 1995-03-02 |
Genre | : Mathematics |
ISBN | : 9780521475747 |
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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 of Ecological Data Using CANOCO
Author | : Jan Lepš,Petr Šmilauer |
Publsiher | : Cambridge University Press |
Total Pages | : 296 |
Release | : 2003-05-29 |
Genre | : Computers |
ISBN | : 0521891086 |
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Table of contents
Proceedings of the Ecological Data Processing and Interpretation Workshop Victoria British Columbia November 1980
Author | : Mark Sondheim,Paul Daykin,British Columbia. Terrestrial Studies Branch,British Columbia. Ministry of Environment |
Publsiher | : The Ministry |
Total Pages | : 368 |
Release | : 1981 |
Genre | : Ecology |
ISBN | : 0771987803 |
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Ecological Models and Data in R
Author | : Benjamin M. Bolker |
Publsiher | : Princeton University Press |
Total Pages | : 408 |
Release | : 2008-07-21 |
Genre | : Computers |
ISBN | : 9780691125220 |
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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.