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Numerical Ecology

Numerical Ecology
A Book

by P. Legendre,Loic F J Legendre

  • Publisher : Elsevier
  • Release : 2012-08-20
  • Pages : 990
  • ISBN : 0444538682
  • Language : En, Es, Fr & De
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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
A Book

by Daniel Borcard,François Gillet,Pierre Legendre

  • Publisher : Springer
  • Release : 2018-03-19
  • Pages : 435
  • ISBN : 331971404X
  • Language : En, Es, Fr & De
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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 with R

Numerical Ecology with R
A Book

by Daniel Borcard,Francois Gillet,Pierre Legendre

  • Publisher : Springer Science & Business Media
  • Release : 2011-01-07
  • Pages : 306
  • ISBN : 144197976X
  • Language : En, Es, Fr & De
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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.

Numerical Ecology

Numerical Ecology
A Book

by P. Legendre,Loic F J Legendre

  • Publisher : Elsevier
  • Release : 2012-07-21
  • Pages : 1006
  • ISBN : 0444538690
  • Language : En, Es, Fr & De
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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

Developments in Numerical Ecology

Developments in Numerical Ecology
A Book

by Pierre Legendre,Louis Legendre

  • Publisher : Springer Science & Business Media
  • Release : 2013-06-29
  • Pages : 585
  • ISBN : 3642708803
  • Language : En, Es, Fr & De
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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
A Book

by P. Legendre,Loic F J Legendre

  • Publisher : Elsevier
  • Release : 1998-11-25
  • Pages : 852
  • ISBN : 008052317X
  • Language : En, Es, Fr & De
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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. 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 almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables.

Numerical Ecology

Numerical Ecology
Expanded Translation from the French

by Louis Legendre,Pierre Legendre

  • Publisher : Unknown Publisher
  • Release : 1983
  • Pages : 419
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Numerical Ecology

Numerical Ecology
A Book

by Louis Legendre

  • Publisher : Unknown Publisher
  • Release : 1983
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Encyclopedia of Ecology

Encyclopedia of Ecology
A Book

by Brian D. Fath

  • Publisher : Elsevier
  • Release : 2018-08-23
  • Pages : 2780
  • ISBN : 0444641300
  • Language : En, Es, Fr & De
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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) are included. In addition, new, international experts in ecology contribute on a variety of topics. Offers the most broad-ranging and comprehensive resource available in the field of ecology Provides foundational content and suggests further reading Incorporates the expertise of over 500 outstanding investigators in the field of ecology, including top young scientists with both research and teaching experience Includes multimedia resources, such as an Interactive Map Viewer and links to a CSDMS (Community Surface Dynamics Modeling System), an open-source platform for modelers to share and link models dealing with earth system processes

Numerical Ecology with R

Numerical Ecology with R
A Book

by Daniel Borcard,Francois Gillet,Pierre Legendre

  • Publisher : Springer
  • Release : 2011-04-07
  • Pages : 306
  • ISBN : 9781441979773
  • Language : En, Es, Fr & De
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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.

Numerical Ecology

Numerical Ecology
A Book

by Louis Legendre,Pierre Legendre,P. Legendre

  • Publisher : Elsevier Science Limited
  • Release : 1983
  • Pages : 419
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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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 Taxonomy

Numerical Taxonomy
A Book

by Joseph Felsenstein

  • Publisher : Springer Science & Business Media
  • Release : 2013-06-29
  • Pages : 646
  • ISBN : 3642690246
  • Language : En, Es, Fr & De
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The NATO Advanced Study Institute on Numerical Taxonomy took place on the 4th - 16th of July, 1982, at the Kur- und Kongresshotel Residenz in Bad Windsheim, Federal Republic of Germany. This volume is the proceedings of that meeting, and contains papers by over two-thirds of the participants in the Institute. Numerical taxonomy has been attracting increased attention from systematists and evolutionary biologists. It is an area which has been marked by debate and conflict, sometimes bitter. Happily, this meeting took place in an atmosphere of "GemUtlichkeit", though scarcely of unanimity. I believe that these papers will show that there is an increased understanding by each taxonomic school of each others' positions. This augurs a period in which the debates become more concrete and specific. Let us hope that they take place in a scientific atmosphere which has occasionally been lacking in the past. Since the order of presentation of papers in the meeting was affected by time constraints, I have taken the liberty of rearranging them into a more coherent subject ordering. The first group of papers, taken from the opening and closing days of the meeting, debate philosophies of classification. The next two sections have papers on congruence, clustering and ordination. A notable concern of these participants is the comparison and testing of classifications. This has been missing from many previous discussions of numerical classification.

Numerical Ecology

Numerical Ecology
Volume 20. Developments in Environmental Modelling

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1998
  • Pages : 853
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Develoments[sic]in Numerical Ecology

Develoments[sic]in Numerical Ecology
A Book

by Pierre Legendre

  • Publisher : Unknown Publisher
  • Release : 1987
  • Pages : 585
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Issues in Ecosystem Ecology: 2013 Edition

Issues in Ecosystem Ecology: 2013 Edition
A Book

by Anonim

  • Publisher : ScholarlyEditions
  • Release : 2013-05-01
  • Pages : 1165
  • ISBN : 1490109218
  • Language : En, Es, Fr & De
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Issues in Ecosystem Ecology / 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Rangeland Ecology. The editors have built Issues in Ecosystem Ecology: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Rangeland Ecology in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Ecosystem Ecology / 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Numerical Ecology

Numerical Ecology
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1983
  • Pages : 435
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Foundation Papers in Landscape Ecology

Foundation Papers in Landscape Ecology
A Book

by John A. Wiens,Michael Moss,Monica G. Turner

  • Publisher : Columbia University Press
  • Release : 2007
  • Pages : 582
  • ISBN : 9780231126816
  • Language : En, Es, Fr & De
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The editors begin with articles that illuminate the discipline's diverse scientific foundations, such as L.

Tracking Environmental Change Using Lake Sediments

Tracking Environmental Change Using Lake Sediments
Data Handling and Numerical Techniques

by H. John B. Birks,André F. Lotter,Steve Juggins,John P. Smol

  • Publisher : Springer Science & Business Media
  • Release : 2012-04-06
  • Pages : 745
  • ISBN : 9400727453
  • Language : En, Es, Fr & De
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Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. ​ Visit http://extras.springer.com the Springer's Extras website to view data-sets, figures, software, and R scripts used or mentioned in this book.

Tracking Environmental Change Using Lake Sediments

Tracking Environmental Change Using Lake Sediments
Data Handling and Numerical Techniques

by John B.H. Birks,André F. Lotter,Steve Juggins,John P. Smol

  • Publisher : Springer Science & Business Media
  • Release : 2012-04-08
  • Pages : 745
  • ISBN : 9400727445
  • Language : En, Es, Fr & De
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Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. ​ Visit http://extras.springer.com the Springer's Extras website to view data-sets, figures, software, and R scripts used or mentioned in this book.

Ecological Modeling

Ecological Modeling
An Introduction to the Art and Science of Modeling Ecological Systems

by Hsiao-Hsuan Wang,W. E. Grant

  • Publisher : Elsevier
  • Release : 2019-08-14
  • Pages : 302
  • ISBN : 0444641645
  • Language : En, Es, Fr & De
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Ecological Modeling: An Introduction to the Art and Science of Modeling Ecological Systems, Volume 31, presents the skills needed to appropriately evaluate and use ecological models. Illustrated throughout with practical examples, the book discusses ecological modeling as both an art and a science, balancing the qualitative (artistic) side, with its foundations in common sense and modeling practice, against the quantitative (scientific) aspects of the modeling process. This book draws on the authors’ extensive experience in both teaching and using these techniques to provide readers with a practical, user-friendly guide that supports and encourages the appropriate, effective use of these tools. Provides readers with a commonsense understanding of the systems perspective and its foundations in general system theory Highlights the importance of a solid understanding of the qualitative aspects of the modeling process Facilitates the ability to appropriately evaluate and use ecological models Supports learning with a variety of simple examples to instill the desire and confidence to embark upon the modeling experience