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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere
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Geostatistics for Compositional Data with R (Paperback, 1st ed. 2021)
Loot Price: R3,074
Discovery Miles 30 740
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Geostatistics for Compositional Data with R (Paperback, 1st ed. 2021)
Series: Use R!
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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.
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