Multivariate Analysis of Ecological Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multivariate Analysis of Ecological Data write by Michael Greenacre. This book was released on 2014-01-09. Multivariate Analysis of Ecological Data available in PDF, EPUB and Kindle. 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.
Multivariate Analysis of Ecological Data Using CANOCO
Multivariate Analysis of Ecological Data Using CANOCO - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multivariate Analysis of Ecological Data Using CANOCO write by Jan Lepš. This book was released on 2003-05-29. Multivariate Analysis of Ecological Data Using CANOCO available in PDF, EPUB and Kindle. Table of contents
Multivariate Analysis of Ecological Data with ade4
Multivariate Analysis of Ecological Data with ade4 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multivariate Analysis of Ecological Data with ade4 write by Jean Thioulouse. This book was released on 2018-11-08. Multivariate Analysis of Ecological Data with ade4 available in PDF, EPUB and Kindle. This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods. The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs. In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.
Multivariate Analysis of Ecological Communities
Multivariate Analysis of Ecological Communities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multivariate Analysis of Ecological Communities write by P.G.N. Digby. This book was released on 2012-12-06. Multivariate Analysis of Ecological Communities available in PDF, EPUB and Kindle.
Multivariate Statistics for Wildlife and Ecology Research
Multivariate Statistics for Wildlife and Ecology Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multivariate Statistics for Wildlife and Ecology Research write by Kevin McGarigal. This book was released on 2013-12-01. Multivariate Statistics for Wildlife and Ecology Research available in PDF, EPUB and Kindle. With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study. It gives readers a solid conceptual understanding of the role of multivariate statistics in ecological applications and the relationships among various techniques, while avoiding detailed mathematics and the underlying theory. More importantly, the reader will gain insight into the type of research questions best handled by each technique and the important considerations in applying them. Whether used as a textbook for specialised courses or as a supplement to general statistics texts, the book emphasises those techniques that students of ecology and natural resources most need to understand and employ in their research. While targeted for upper-division and graduate students in wildlife biology, forestry, and ecology, and for professional wildlife scientists and natural resource managers, this book will also be valuable to researchers in any of the biological sciences.
