Develoments in Numerical Ecology

  • Pierre Legendre
  • Louis Legendre

Part of the NATO ASI Series book series (volume 14)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Invited Lectures

    1. Front Matter
      Pages 1-1
    2. Scaling techniques

    3. Clustering under a priori models

    4. Fractal theory

      1. Serge Frontier
        Pages 335-378
    5. Path analysis for mixed variables

      1. Jan de Leeuw
        Pages 381-404
    6. Spatial analysis

      1. B. D. Ripley
        Pages 407-429
      2. Robert R. Sokal, James D. Thomson
        Pages 431-466
  3. Working Group Reports

    1. Front Matter
      Pages 467-467
    2. Manfred Bölter, Pierre Legendre, Jan de Leeuw, Richard Park, Peter Schwinghamer, Stanley E. Stevens et al.
      Pages 469-484
    3. John G. Field, Roger H. Green, Francisco A. L. de Andrade, Eugenio Fresi, Phillippe Gros, Brian H. McArdle et al.
      Pages 485-494
    4. Jordi Flos, Fortunato A. Ascioti, J. Douglas Carroll, Serge Dallot, Serge Frontier, John C. Gower et al.
      Pages 495-520
    5. Louis Legendre, Carol D. Collins, Clarice M. Yentsch, James C. Bezdek, Janet W. Campbell, Yves Escoufier et al.
      Pages 521-527
    6. R. Gittins, S. Amir, J.-L. Dupouey, W. J. Heiser, M. Meyer, R. R. Sokal et al.
      Pages 529-558

About these proceedings

Introduction

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.

Keywords

algorithms clustering clustering algorithm correlation data analysis ecology environment limnology mathematics microbial ecology multidimensional scaling oceanography

Editors and affiliations

  • Pierre Legendre
    • 1
  • Louis Legendre
    • 2
  1. 1.Département de Sciences biologiquesUniversité de MontréalMontréalCanada
  2. 2.Département de BiologieUniversité LavalSte-FoyCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-70880-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1987
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-70882-4
  • Online ISBN 978-3-642-70880-0
  • About this book