Numerical Ecology

• Author : P. Legendre,Loic F J Legendre
• Publisher : Elsevier
• Release : 20 August 2012

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

• Author : P. Legendre,Loic F J Legendre
• Publisher : Elsevier
• Release : 21 July 2012

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

• Author : Pierre Legendre,Louis Legendre
• Publisher : Springer Science & Business Media
• Release : 29 June 2013

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.

• Author : Daniel Borcard,François Gillet,Pierre Legendre
• Publisher : Springer
• Release : 19 March 2018

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

• Author : Daniel Borcard,Francois Gillet,Pierre Legendre
• Publisher : Springer Science & Business Media
• Release : 07 January 2011

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:

• Author : Louis Legendre,Pierre Legendre,P. Legendre
• Publisher : Elsevier Science Limited
• Release : 18 September 1983

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.

• Author : Louis Legendre,Pierre Legendre
• Publisher : Unknown
• Release : 18 September 1983

• Author : Louis Legendre
• Publisher : Unknown
• Release : 18 September 1983

• Author : Brian D. Fath
• Publisher : Elsevier
• Release : 23 August 2018

Encyclopedia of Ecology, Second Edition continues the acclaimed work of the previous edition published in 2008. It covers all scales of biological organization, from organisms, to populations, to communities and ecosystems. Laboratory, field, simulation modelling, and theoretical approaches are presented to show how living systems sustain structure and function in space and time. New areas of focus include micro- and macro scales, molecular and genetic ecology, and global ecology (e.g., climate change, earth transformations, ecosystem services, and the food-water-energy nexus)

• Author : Anonim
• Publisher : Unknown
• Release : 18 September 1998

• Author : Louis E. Legendre
• Publisher : Unknown
• Release : 18 September 1983

• Author : Pierre Legendre
• Publisher : Unknown
• Release : 18 September 1987

• Author : Anonim
• Publisher : Unknown
• Release : 18 September 1983

• Author : Anonim
• Publisher : Unknown
• Release : 18 September 1997

• Author : Milena Lakicevic,Nicholas Povak,Keith M. Reynolds
• Publisher : Springer Nature
• Release : 17 January 2020

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals. The textbook deals with solving specific programming tasks in R,