Multivariate analysis in vegetation research

Multivariate analysis in vegetation research
Title Multivariate analysis in vegetation research PDF eBook
Author László Orlóci
Publisher Springer
Pages 286
Release 2013-11-11
Genre Medical
ISBN 9401756082

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Data Analysis in Vegetation Ecology, 3rd Edition

Data Analysis in Vegetation Ecology, 3rd Edition
Title Data Analysis in Vegetation Ecology, 3rd Edition PDF eBook
Author Otto Wildi
Publisher CABI
Pages 357
Release 2017-10-16
Genre Science
ISBN 1786394227

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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

Multivariate Analysis in Community Ecology
Title Multivariate Analysis in Community Ecology PDF eBook
Author Hugh G. Gauch
Publisher Cambridge University Press
Pages 320
Release 1982-02-26
Genre Mathematics
ISBN 9780521282406

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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 in Vegetation Research

Multivariate Analysis in Vegetation Research
Title Multivariate Analysis in Vegetation Research PDF eBook
Author Laszlo Orloci
Publisher
Pages 276
Release 1975
Genre Botany
ISBN 9789016931782

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Multivariate Analysis of Ecological Data Using CANOCO

Multivariate Analysis of Ecological Data Using CANOCO
Title Multivariate Analysis of Ecological Data Using CANOCO PDF eBook
Author Jan Lepš
Publisher Cambridge University Press
Pages 296
Release 2003-05-29
Genre Computers
ISBN 9780521891080

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Table of contents

Multivariate Analysis of Ecological Data

Multivariate Analysis of Ecological Data
Title Multivariate Analysis of Ecological Data PDF eBook
Author Michael Greenacre
Publisher Fundacion BBVA
Pages 336
Release 2014-01-09
Genre Ecology
ISBN 8492937505

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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.

Applied Statistics in Agricultural, Biological, and Environmental Sciences

Applied Statistics in Agricultural, Biological, and Environmental Sciences
Title Applied Statistics in Agricultural, Biological, and Environmental Sciences PDF eBook
Author Barry Glaz
Publisher John Wiley & Sons
Pages 672
Release 2020-01-22
Genre Technology & Engineering
ISBN 0891183590

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Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.