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Könyv Geostatistics for Compositional Data with R Raimon Tolosana-Delgado

Geostatistics for Compositional Data with R

Szerző: Raimon Tolosana-Delgado, Ute Mueller
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer Nature Switzerland AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
42 180 Ft
This book provides a guided approach to the geostatistical modelling of compositional spatial data....

Információk a könyvről

Szerző
Raimon Tolosana-Delgado, Ute Mueller
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2021
oldal
288
EAN
9783030825676
ISBN
3030825671
Enbook ID
37629351
Kiadó
Springer Nature Switzerland AG
Súly
600
Méretek
160 x 241 x 21

Teljes leírás

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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