Geostatistics for compositional data with R / Raimon Tolosana-Delgado, Ute Mueller.
Tolosana-Delgado, Raimon, author.; Mueller, Ute, author.
2021
QE33.2.S82
Available Online

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Title Geostatistics for compositional data with R / Raimon Tolosana-Delgado, Ute Mueller.
Author Tolosana-Delgado, Raimon, author.
ISBN 9783030825683 (electronic bk.)
303082568X (electronic bk.)
9783030825676 (print)
3030825671
DOI https://doi.org/10.1007/978-3-030-82568-3
Published Cham, Switzerland : Springer, 2021.
Language English
Description 1 online resource (xxv, 259 pages) : illustrations
Item Number 10.1007/978-3-030-82568-3 doi
Call Number QE33.2.S82
Dewey Decimal Classification 550.72/7
Summary 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, multipoint simulation of compositional data, and common postprocessing techniques, valid for both Gaussian and multipoint methods. All methods are illustrated via applications to two types of data sets: one a large-scale geochemical survey, comprised of a full suite of geochemical variables, and the other from a mining context, where only the elements of greatest importance are considered. R codes are included for all aspects of the methodology, encapsulated in the R package "gmGeostats", available in CRAN
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 29, 2021).
Added Author Mueller, Ute, author.
Series Use R!, 2197-5744
Available in Other Form Geostatistics for compositional data with R.
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Record Appears in Online Resources > Ebooks
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1 Introduction
2 A review of compositional data analysis
3 Exploratory data analysis
4 Exploratory spatial analysis
5 Variogram Models
6 Geostatistical estimation
7 Cross-validation
8 Multivariate normal score transformation
9 Simulation
10 Compositional Direct Sampling Simulation
11 Evaluation and Postprocessing of Results
A Matrix decompositions
B Complete data analysis workflows
Index.

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