9781493988488 - multivariate analysis of ecological data with ade4 di thioulouse (16 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2018

      1493988484 / 9781493988488

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      hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

    • Lingua: Inglese

      Editore: Springer, 2018

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    • Lingua: Inglese

      Editore: Springer, 2018

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    • Lingua: Inglese

      Editore: Springer, 2018

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    • Lingua: Inglese

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    • Lingua: Inglese

      Editore: Springer, 2018

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    • Lingua: Inglese

      Editore: Springer, 2018

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    • Lingua: Inglese

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      Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods.The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs.In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.

    • Lingua: Inglese

      Editore: Springer, 2018

      1493988484 / 9781493988488

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      Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Lingua: Inglese

      Editore: Springer Verlag, 2018

      1493988484 / 9781493988488

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      Hardcover. Condizione: Brand New. 329 pages. 9.25x6.25x0.75 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer, 2018

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    • Lingua: Inglese

      Editore: Springer New York Nov 2018, 2018

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods.The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs.In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code. 344 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer New York, 2018

      1493988484 / 9781493988488

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers Data importation and Analysis of ecological data in ade4Covers Data Segmentation and full use of ade4 methods and techniquesCovers in Detail many multivariate modeling techniquesCovers .

    • Lingua: Inglese

      Editore: Springer, 2018

      1493988484 / 9781493988488

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    • Lingua: Inglese

      Editore: Springer, 2018

      1493988484 / 9781493988488

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    • Lingua: Inglese

      Editore: Springer, Springer Nov 2018, 2018

      1493988484 / 9781493988488

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      Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods.The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs.In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.