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A Review of Compositional Data Analysis

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Geostatistics for Compositional Data with R

Part of the book series: Use R! ((USE R))

Abstract

This chapter provides the concepts from compositional data analysis required to prepare compositional data for geostatistical treatment. Specifically we define the term closure, its rationale and caveats, and the various ways of escaping from its curse, i.e. the various forms of log-ratio transformation.

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Notes

  1. 1.

    There is an incompatible function called select in package “MASS”. To ensure using the right function in such cases, the syntax package::command is useful.

  2. 2.

    Note the use of the pipe %>% from package “magrittr”, where X %>% fun is equivalent to fun(X). Piping is a comfortable way of nesting functions in R, easy to write and to read: from the data set australia, select some variables, do absolute values, compute the row sums and return their summaries.

  3. 3.

    Gangue: part of a mineral deposit considered as not valuable.

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Author information

Authors and Affiliations

  1. Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany

    Raimon Tolosana-Delgado

  2. School of Science, Edith Cowan University, Joondalup, WA, Australia

    Ute Mueller

Authors
  1. Raimon Tolosana-Delgado
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  2. Ute Mueller
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Tolosana-Delgado, R., Mueller, U. (2021). A Review of Compositional Data Analysis. In: Geostatistics for Compositional Data with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-030-82568-3_2

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