Multivariate Analysis of Ecological Data Using CANOCO
Author: Jan Lepš
Publisher: Cambridge University Press
Published: 2003-05-29
Total Pages: 296
ISBN-13: 9780521891080
DOWNLOAD EBOOK →Table of contents
Lanterna Rally
eBook PDF Download Digital Library
Multivariate Analysis of Ecological Data using CANOCO 5
Author: Petr Šmilauer
Publisher: Cambridge University Press
Published: 2014-04-17
Total Pages: 375
ISBN-13: 1139953044
DOWNLOAD EBOOK →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
Author: Petr Šmilauer
Publisher: Cambridge University Press
Published: 2014-04-17
Total Pages: 375
ISBN-13: 110769440X
DOWNLOAD EBOOK →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
Author: Michael Greenacre
Publisher: Fundacion BBVA
Published: 2014-01-09
Total Pages: 336
ISBN-13: 8492937505
DOWNLOAD EBOOK →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.
Data Analysis in Community and Landscape Ecology
Author: R. H. Jongman
Publisher: Cambridge University Press
Published: 1995-03-02
Total Pages: 325
ISBN-13: 0521475740
DOWNLOAD EBOOK →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.
Analyzing Ecological Data
Author: Alain Zuur
Publisher: Springer
Published: 2007-08-29
Total Pages: 686
ISBN-13: 0387459723
DOWNLOAD EBOOK →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.
Numerical Ecology
Author: P. Legendre
Publisher: Elsevier
Published: 1998-11-25
Total Pages: 870
ISBN-13: 008052317X
DOWNLOAD EBOOK →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.
Multivariate analysis in vegetation research
Author: László Orlóci
Publisher: Springer
Published: 2013-11-11
Total Pages: 286
ISBN-13: 9401756082
DOWNLOAD EBOOK →Data Analysis in Vegetation Ecology, 3rd Edition
Author: Otto Wildi
Publisher: CABI
Published: 2017-10-16
Total Pages: 355
ISBN-13: 1786394227
DOWNLOAD EBOOK →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.
