Description: Geostatistics for Compositional Data With R, Hardcover by Tolosana-delgado, Raimon; Mueller, Ute, ISBN 3030825671, ISBN-13 9783030825676, Like New Used, Free shipping in the US 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. Th 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.
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Book Title: Geostatistics for Compositional Data With R
Number of Pages: Xxv, 259 Pages
Publication Name: Geostatistics for Compositional Data with R
Language: English
Publisher: Springer International Publishing A&G
Subject: Life Sciences / Ecology, Biostatistics, Probability & Statistics / General
Publication Year: 2021
Item Weight: 21.2 Oz
Type: Textbook
Item Length: 9.3 in
Author: Ute Mueller, Raimon Tolosana-Delgado
Subject Area: Mathematics, Science, Medical
Item Width: 6.1 in
Series: Use R! Ser.
Format: Hardcover
