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Verlag: Ecology, 1992
Anbieter: Larry W Price Books, Portland, OR, USA
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 2011
ISBN 10: 1441979751 ISBN 13: 9781441979759
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 2011
ISBN 10: 1441979751 ISBN 13: 9781441979759
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Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 2011
ISBN 10: 1441979751 ISBN 13: 9781441979759
Anbieter: Ammareal, Morangis, Frankreich
Softcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Edition 2011. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2011. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Sprache: Englisch
Verlag: Springer International Publishing, 2018
ISBN 10: 3319714031 ISBN 13: 9783319714035
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Taschenbuch. Zustand: Neu. Numerical Ecology with R | Daniel Borcard (u. a.) | Taschenbuch | Use R! | xv | Englisch | 2018 | Springer | EAN 9783319714035 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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: adn.biol.umontreal.ca/~numericalecology/numecolR/).
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Zustand: Neuf.
Sprache: Französisch
Verlag: PRESSES UNIV.MONTREAL PUM, 2026
ISBN 10: 2760654230 ISBN 13: 9782760654235
Anbieter: Librairie La Canopee. Inc., Saint-Armand, QC, Kanada
État de NEUF / New condition 688469 9782760654235 405.
ISBN 10: 7040539500 ISBN 13: 9787040539509
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Paperback. Pub Date: 1900-01-01 Pages: 456 Publisher: Higher Education Press In recent years. with the rapid development of new data analysis methods in ecological and environmental science research and the advent of the era of big data. R language statistics With its many advantages such as flexibility. openness. easy-to-master. free. etc. software has spread rapidly in the fields of ecological science and environmental science research and has won the favor of the majority of researchers.?.
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing Apr 2018, 2018
ISBN 10: 3319714031 ISBN 13: 9783319714035
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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: adn.biol.umontreal.ca/~numericalecology/numecolR/). 452 pp. Englisch.
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In den WarenkorbZustand: New. Print on Demand pp. 450.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 450.
Sprache: Englisch
Verlag: Springer, Springer Apr 2018, 2018
ISBN 10: 3319714031 ISBN 13: 9783319714035
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Offers an up-to-date, practical guide to numerical ecology from leaders in the fieldProvides complete data sets, functions and scriptsIncludes examples with extensive commentariesSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch.