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Geostatistical Analysis of Compositional Data provides a comprehensive coverage of the theory and practice of analysis of data that have both spatial and compos

Compositional data are represented as vector variables with individual vector components ranging between zero and a positive maximum value representing a consta

1. Introduction. 2. Regionalized Compositions. 3. Spatial Covariance Structure. 4. Concepts of Null Correlation. 5. Cokriging. 6. Practical Aspects of Compositi

This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or concentra

Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologis