Multivariate Geostatistics

An Introduction with Applications

  • Hans Wackernagel

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction

    1. Hans Wackernagel
      Pages 1-5
  3. From Statistics to Geostatistics

    1. Front Matter
      Pages 7-7
    2. Hans Wackernagel
      Pages 9-14
    3. Hans Wackernagel
      Pages 15-26
    4. Hans Wackernagel
      Pages 27-33
  4. Geostatistics

    1. Front Matter
      Pages 35-37
    2. Hans Wackernagel
      Pages 39-44
    3. Hans Wackernagel
      Pages 45-49
    4. Hans Wackernagel
      Pages 50-56
    5. Hans Wackernagel
      Pages 57-61
    6. Hans Wackernagel
      Pages 62-65
    7. Hans Wackernagel
      Pages 66-78
    8. Hans Wackernagel
      Pages 79-88
    9. Hans Wackernagel
      Pages 89-95
    10. Hans Wackernagel
      Pages 96-100
    11. Hans Wackernagel
      Pages 101-106
    12. Hans Wackernagel
      Pages 107-112
    13. Hans Wackernagel
      Pages 113-119
  5. Multivariate Analysis

    1. Front Matter
      Pages 121-121

About this book


The third edition of this very successful text book provides an introduction to geostatistics stressing the multivariate aspects for scientists, engineers or statisticians. Geostatistics offers a variety of models, methods and  techniques for the analysis, estimation and display of multivariate data distributed in space or time. This book presents a brief review of statistical concepts, a detailed introduction to linear geostatistics, and an account of three methods of multivariate analysis. Moreover,  it contains an advanced presentation of linear models for mulitvariate spatial or temporal data, of nonlinear models and methods for selection problems with change of support, as well as an introduction to non-stationary geostatistics with special focus on the external drift method. Applications from very different areas of science as well as exercices with  solutions are provided to help convey the general ideas.


Analysis Kriging Measure Regression digital elevation model linear optimization linear regression model principal component analysis

Authors and affiliations

  • Hans Wackernagel
    • 1
  1. 1.Centre de GéostatistiqueEcole des Mines de ParisFontainebleauFrance

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07911-5
  • Online ISBN 978-3-662-05294-5
  • About this book