Geostatistics for Compositional Data with R

Authors/Creators

Raimon Tolosana-Delgado, Edith Cowan University
Ute Mueller, Edith Cowan UniversityFollow

Abstract

This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or concentrations distributed in space which exhibit spatial correlation. The book can be divided into four blocks. The first block sets the framework and provides some background on compositional data analysis. Block two introduces compositional exploratory tools for both non-spatial and spatial aspects. Block three covers all necessary facets of multivariate spatial prediction for compositional data: variogram modelling, cokriging and validation. Finally, block four details strategies for simulation of compositional data, including transformations to multivariate normality, Gaussian cosimulation...

Document Type

Book

Date of Publication

2021

Publisher

Springer

School

School of Science

RAS ID

39870

Comments

Tolosana-Delgado, R., & Mueller, U. (2021). Geostatistics for Compositional Data with R. Springer.

https://doi.org/10.1007/978-3-030-82568-3

Copyright

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