Numerical Ecology with R Book [PDF] Download

Download the fantastic book titled Numerical Ecology with R written by Daniel Borcard, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Numerical Ecology with R", which was released on 19 March 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Numerical Ecology with R by Daniel Borcard PDF

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/).


Detail About Numerical Ecology with R PDF

  • Author : Daniel Borcard
  • Publisher : Springer
  • Genre : Mathematics
  • Total Pages : 435 pages
  • ISBN : 331971404X
  • PDF File Size : 53,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Numerical Ecology with R

Numerical Ecology with R
  • Publisher : Springer
  • File Size : 29,8 Mb
  • Release Date : 19 March 2018
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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.

Numerical Ecology with R

Numerical Ecology with R
  • Publisher : Springer Science & Business Media
  • File Size : 54,7 Mb
  • Release Date : 07 January 2011
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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

Developments in Numerical Ecology

Developments in Numerical Ecology
  • Publisher : Springer Science & Business Media
  • File Size : 54,7 Mb
  • Release Date : 29 June 2013
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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

Numerical Ecology

Numerical Ecology
  • Publisher : Elsevier
  • File Size : 45,7 Mb
  • Release Date : 25 November 1998
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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

Ecological Models and Data in R

Ecological Models and Data in R
  • Publisher : Princeton University Press
  • File Size : 42,8 Mb
  • Release Date : 21 July 2008
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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

Introduction to R for Terrestrial Ecology

Introduction to R for Terrestrial Ecology
  • Publisher : Springer Nature
  • File Size : 25,9 Mb
  • Release Date : 17 January 2020
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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

A Practical Guide to Ecological Modelling

A Practical Guide to Ecological Modelling
  • Publisher : Springer Science & Business Media
  • File Size : 38,8 Mb
  • Release Date : 14 October 2008
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Mathematical modelling is an essential tool in present-day ecological research. Yet for many ecologists it is still problematic to apply modelling in their research. In our experience, the major problem

The R Book

The R Book
  • Publisher : John Wiley & Sons
  • File Size : 21,9 Mb
  • Release Date : 13 June 2007
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The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R

Geocomputation with R

Geocomputation with R
  • Publisher : CRC Press
  • File Size : 44,9 Mb
  • Release Date : 22 March 2019
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Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has

Statistics for Ecologists Using R and Excel

Statistics for Ecologists Using R and Excel
  • Publisher : Pelagic Publishing Ltd
  • File Size : 47,5 Mb
  • Release Date : 16 January 2017
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This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data,