Published by Ecology, 1992
Seller: Larry W Price Books, Portland, OR, U.S.A.
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Pamphlet. Condition: Very Good. Vol 73, No 3, pp. 1045-1055, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, last page in facsimile, else VG.
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Language: English
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1441979751 ISBN 13: 9781441979759
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Language: English
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1441979751 ISBN 13: 9781441979759
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Language: English
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1441979751 ISBN 13: 9781441979759
Seller: Ammareal, Morangis, France
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Language: English
Published by Springer International Publishing, 2018
ISBN 10: 3319714031 ISBN 13: 9783319714035
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Taschenbuch. Condition: 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. Condition: 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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Language: French
Published by PRESSES UNIV.MONTREAL PUM, 2026
ISBN 10: 2760654230 ISBN 13: 9782760654235
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État de NEUF / New condition 688469 9782760654235 405.
ISBN 10: 7040539500 ISBN 13: 9787040539509
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paperback. Condition: 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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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer International Publishing, Springer International Publishing Apr 2018, 2018
ISBN 10: 3319714031 ISBN 13: 9783319714035
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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.
Seller: Majestic Books, Hounslow, United Kingdom
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Add to basketCondition: New. Print on Demand pp. 450.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 450.
Language: English
Published by Springer, Springer Apr 2018, 2018
ISBN 10: 3319714031 ISBN 13: 9783319714035
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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.