June 16, 2021

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Numerical Ecology

Numerical Ecology
Author : P. Legendre,Loic F J Legendre
Publisher : Elsevier
Release Date : 2012-08-20
Category : Science
Total pages :990
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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. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research All calculations are available in R language functions

Numerical Ecology with R

Numerical Ecology with R
Author : Daniel Borcard,François Gillet,Pierre Legendre
Publisher : Springer
Release Date : 2018-03-19
Category : Mathematics
Total pages :435
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This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the major methods. It also highlights important changes in the methods and expands upon topics such as multiple correspondence analysis, principal response curves and co-correspondence analysis. New features include the study of relationships between species traits and the environment, and community diversity analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as extra R functions and packages written by the authors of the book, are available online (URL: http://adn.biol.umontreal.ca/~numericalecology/numecolR/).

Numerical Ecology

Numerical Ecology
Author : P. Legendre,Loic F J Legendre
Publisher : Elsevier
Release Date : 2012-07-21
Category : Science
Total pages :1006
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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. An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research All calculations are available in R language functions

Numerical Ecology with R

Numerical Ecology with R
Author : Daniel Borcard,Francois Gillet,Pierre Legendre
Publisher : Springer Science & Business Media
Release Date : 2011-01-07
Category : Medical
Total pages :306
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Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.

Developments in Numerical Ecology

Developments in Numerical Ecology
Author : Pierre Legendre,Louis Legendre
Publisher : Springer Science & Business Media
Release Date : 2013-06-29
Category : Science
Total pages :585
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From earlier ecological studies it has become apparent that simple univariate or bivariate statistics are often inappropriate, and that multivariate statistical analyses must be applied. Despite several difficulties arising from the application of multivariate methods, community ecology has acquired a mathematical framework, with three consequences: it can develop as an exact science; it can be applied operationally as a computer-assisted science to the solution of environmental problems; and it can exchange information with other disciplines using the language of mathematics. This book comprises the invited lectures, as well as working group reports, on the NATO workshop held in Roscoff (France) to improve the applicability of this new method numerical ecology to specific ecological problems.

Numerical Ecology

Numerical Ecology
Author : Louis Legendre,Pierre Legendre,P. Legendre
Publisher : Elsevier Science Limited
Release Date : 1983
Category : Science
Total pages :419
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Complex ecological data sets. Matrix algebra: a summary. Dimensional analysis in ecology. Multidimensional qualitative data. Multidimensional quantitative data. Measures of ecological resemblance. Cluster analysis. Ordination in reduced space. Structure analysis. Ecological series. Markov process and Leslie matrix.

Numerical Ecology

Numerical Ecology
Author : Louis Legendre
Publisher : Unknown
Release Date : 1983
Category :
Total pages :129
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Numerical Ecology with R

Numerical Ecology with R
Author : Daniel Borcard,Francois Gillet,Pierre Legendre
Publisher : Springer
Release Date : 2011-04-07
Category : Medical
Total pages :306
GET BOOK

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.

Numerical Ecology

Numerical Ecology
Author : Anonim
Publisher : Unknown
Release Date : 1998
Category :
Total pages :853
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Numerical Ecology

Numerical Ecology
Author : Louis E. Legendre
Publisher : Unknown
Release Date : 1983
Category :
Total pages :129
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Numerical Ecology

Numerical Ecology
Author : Anonim
Publisher : Unknown
Release Date : 1983
Category :
Total pages :435
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Ecology

Ecology
Author : Anonim
Publisher : Unknown
Release Date : 1997
Category : Ecology
Total pages :129
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Develoments[sic]in Numerical Ecology

Develoments[sic]in Numerical Ecology
Author : Pierre Legendre
Publisher : Unknown
Release Date : 1987
Category :
Total pages :585
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Quantitative Ecology and Marine Biology

Quantitative Ecology and Marine Biology
Author : Gerald J. Bakus
Publisher : South Asia Books
Release Date : 1990
Category : Ecological research
Total pages :157
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Scientific Research and Discovery

Scientific Research and Discovery
Author : Louis Legendre
Publisher : Unknown
Release Date : 2004
Category : Creative ability in science
Total pages :235
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