Numerical Ecology

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

Produk Detail:

  • Author : P. Legendre
  • Publisher : Elsevier
  • Pages : 990 pages
  • ISBN : 0444538682
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKNumerical Ecology

Numerical Ecology

Numerical Ecology
  • Author : P. Legendre,Loic F J Legendre
  • Publisher : Elsevier
  • Release : 20 August 2012
GET THIS BOOKNumerical Ecology

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

Developments in Numerical Ecology

Developments in Numerical Ecology
  • Author : Pierre Legendre,Louis Legendre
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKDevelopments in Numerical Ecology

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.

Numerical Ecology

Numerical Ecology
  • Author : P. Legendre,Loic F J Legendre
  • Publisher : Elsevier
  • Release : 25 November 1998
GET THIS BOOKNumerical Ecology

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

Numerical Ecology with R

Numerical Ecology with R
  • Author : Daniel Borcard,François Gillet,Pierre Legendre
  • Publisher : Springer
  • Release : 19 March 2018
GET THIS BOOKNumerical Ecology with R

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

Numerical Ecology

Numerical Ecology
  • Author : P. Legendre,Loic F J Legendre
  • Publisher : Elsevier
  • Release : 21 July 2012
GET THIS BOOKNumerical Ecology

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

Numerical Ecology with R

Numerical Ecology with R
  • Author : Daniel Borcard,Francois Gillet,Pierre Legendre
  • Publisher : Springer Science & Business Media
  • Release : 07 January 2011
GET THIS BOOKNumerical Ecology with R

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:

Introduction to R for Terrestrial Ecology

Introduction to R for Terrestrial Ecology
  • Author : Milena Lakicevic,Nicholas Povak,Keith M. Reynolds
  • Publisher : Springer Nature
  • Release : 17 January 2020
GET THIS BOOKIntroduction to R for Terrestrial Ecology

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,

Stable Isotope Ecology

Stable Isotope Ecology
  • Author : Brian Fry
  • Publisher : Springer Science & Business Media
  • Release : 15 January 2007
GET THIS BOOKStable Isotope Ecology

A solid introduction to stable isotopes that can also be used as an instructive review for more experienced researchers and professionals. The book approaches the use of isotopes from the perspective of ecological and biological research, but its concepts can be applied within other disciplines. A novel, step-by-step spreadsheet modeling approach is also presented for circulating tracers in any ecological system, including any favorite system an ecologist might dream up while sitting at a computer. The author’s humorous and

Ecological Models and Data in R

Ecological Models and Data in R
  • Author : Benjamin M. Bolker
  • Publisher : Princeton University Press
  • Release : 21 July 2008
GET THIS BOOKEcological Models and Data in R

Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution
  • Author : Sarah P. Otto,Troy Day
  • Publisher : Princeton University Press
  • Release : 19 September 2011
GET THIS BOOKA Biologist's Guide to Mathematical Modeling in Ecology and Evolution

Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary

Advances in Dynamic Game Theory

Advances in Dynamic Game Theory
  • Author : Steffen Jorgensen,Marc Quincampoix,Thomas L. Vincent
  • Publisher : Springer Science & Business Media
  • Release : 15 November 2007
GET THIS BOOKAdvances in Dynamic Game Theory

This collection of selected contributions gives an account of recent developments in dynamic game theory and its applications, covering both theoretical advances and new applications of dynamic games in such areas as pursuit-evasion games, ecology, and economics. Written by experts in their respective disciplines, the chapters include stochastic and differential games; dynamic games and their applications in various areas, such as ecology and economics; pursuit-evasion games; and evolutionary game theory and applications. The work will serve as a state-of-the art

Developments in Environmental Modelling

Developments in Environmental Modelling
  • Author : S.E. Jorgensen,M.J. Gromiec
  • Publisher : Elsevier
  • Release : 20 April 2016
GET THIS BOOKDevelopments in Environmental Modelling

The use of models to assess water quality is becoming increasingly important worldwide. In order to be able to develop a good model, it is necessary to have a good quantitative and ecological description of physical, chemical and biological processes in ecosystems. Such descriptions may be called ``submodels''. This book presents the most important, but not all, submodels applied in water quality modelling. Each chapter deals with a specific physical process and covers its importance, the most applicable submodels (and

Mathematical Modeling in Economics, Ecology and the Environment

Mathematical Modeling in Economics, Ecology and the Environment
  • Author : N.V. Hritonenko,Yuri P. Yatsenko
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOKMathematical Modeling in Economics, Ecology and the Environment

The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience