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Beschreibung
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.
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.
Über den Autor
Raimon Tolosana-Delgado is a senior scientist from the department of modelling and valuation at Helmholtz Institute Freiberg, Germany. He is a specialist in compositional data analysis, applied multivariate geostatistics, and applications of statistics, data analysis and machine learning in geology as well as in the mining and minerals industry. His current focus is on predictive geometallurgy.
Ute Mueller is an associate professor in mathematics at Edith Cowan University in Perth, Australia. She has been teaching geostatistics for the last twenty years and has a research background in the application of multivariate geostatistical modelling techniques in mining, fisheries and health. In the last ten years she has focussed on compositional geostatistical data in particular.
Zusammenfassung

Gives an integrated approach to geostatistical modelling of compositional data

Modelling approaches are illustrated through detailed examples from real world data

Presents workflows and R code for all aspects of the methodology, encapsulated in the R package "gmGeostats"

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2021
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xxv
259 S.
104 s/w Illustr.
259 p. 104 illus.
ISBN-13: 9783030825676
ISBN-10: 3030825671
Sprache: Englisch
Einband: Gebunden
Autor: Tolosana-Delgado, Raimon
Mueller, Ute
Hersteller: Springer
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 22 mm
Von/Mit: Raimon Tolosana-Delgado (u. a.)
Erscheinungsdatum: 20.11.2021
Gewicht: 0,6 kg
Artikel-ID: 120294301