Chapter 11. Correlation

  1. Clemens Reimann M.Sc. in Mineralogy and Petrology, Ph.D. in Geosciences, D.Sc. in Applied Geochemistry lecturer senior geochemist director professor chairman acting vice president associate editor1,
  2. Peter Filzmoser Applied Mathematics visiting professor2,
  3. Robert G. Garrett Mining Geology and Applied Geochemistry Emeritus Scientist3,
  4. Rudolf Dutter M.Sc., Ph.D. senior statistician full professor post-doctoral fellow2

Published Online: 18 APR 2008

DOI: 10.1002/9780470987605.ch11

Statistical Data Analysis Explained: Applied Environmental Statistics with R

Statistical Data Analysis Explained: Applied Environmental Statistics with R

How to Cite

Reimann, C., Filzmoser, P., Garrett, R. G. and Dutter, R. (2008) Correlation, in Statistical Data Analysis Explained: Applied Environmental Statistics with R, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470987605.ch11

Author Information

  1. 1

    Geological Survey of Norway, Norway

  2. 2

    Vienna University of Technology, Austria

  3. 3

    Geological Survey of Canada, Canada

Publication History

  1. Published Online: 18 APR 2008
  2. Published Print: 4 APR 2008

ISBN Information

Print ISBN: 9780470985816

Online ISBN: 9780470987605

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Keywords:

  • correlation analysis and coefficient;
  • Pearson, Spearman and Kendall correlation;
  • “classical” Pearson method;
  • Pearson correlation coefficient;
  • Spearman rank correlation;
  • correlation analysis and inhomogeneous data;
  • “closed array” problem;
  • inhomogenous data correlation analysis;
  • statistical test and zero correlation

Summary

This chapter contains sections titled:

  • Pearson correlation

  • Spearman rank correlation

  • Kendall-tau correlation

  • Robust correlation coefficients

  • When is a correlation coefficient significant?

  • Working with many variables

  • Correlation analysis and inhomogeneous data

  • Correlation results following additive logratio or centred logratio transformations

  • Summary