Geostatistical Analysis of Compositional Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Geostatistical Analysis of Compositional Data write by Vera Pawlowsky-Glahn. This book was released on 2004-06-03. Geostatistical Analysis of Compositional Data available in PDF, EPUB and Kindle. Geostatistical Analysis of Compositional Data provides a comprehensive coverage of the theory and practice of analysis of data that have both spatial and compositional dependence, characteristics of most earth science and environmental measurements.
Geostatistical Analysis of Compositional Data
Geostatistical Analysis of Compositional Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Geostatistical Analysis of Compositional Data write by Vera Pawlowsky-Glahn. This book was released on 2004-06-03. Geostatistical Analysis of Compositional Data available in PDF, EPUB and Kindle. 1. Introduction. 2. Regionalized Compositions. 3. Spatial Covariance Structure. 4. Concepts of Null Correlation. 5. Cokriging. 6. Practical Aspects of Compositional Data Analysis. 7. Application to Real Data. Summary and Prospects. References. Index
Geostatistics for Compositional Data with R
Geostatistics for Compositional Data with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Geostatistics for Compositional Data with R write by Raimon Tolosana-Delgado. This book was released on 2021-11-19. Geostatistics for Compositional Data with R available in PDF, EPUB and Kindle. 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.
Book Review Geostatistical Analysis of Compositional Data
Book Review Geostatistical Analysis of Compositional Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Book Review Geostatistical Analysis of Compositional Data write by . This book was released on 2007. Book Review Geostatistical Analysis of Compositional Data available in PDF, EPUB and Kindle. Compositional data are represented as vector variables with individual vector components ranging between zero and a positive maximum value representing a constant sum constraint, usually unity (or 100 percent). The earth sciences are flooded with spatial distributions of compositional data, such as concentrations of major ion constituents in natural waters (e.g. mole, mass, or volume fractions), mineral percentages, ore grades, or proportions of mutually exclusive categories (e.g. a water-oil-rock system). While geostatistical techniques have become popular in earth science applications since the 1970s, very little attention has been paid to the unique mathematical properties of geostatistical formulations involving compositional variables. The book 'Geostatistical Analysis of Compositional Data' by Vera Pawlowsky-Glahn and Ricardo Olea (Oxford University Press, 2004), unlike any previous book on geostatistics, directly confronts the mathematical difficulties inherent to applying geostatistics to compositional variables. The book righteously justifies itself with prodigious referencing to previous work addressing nonsensical ranges of estimated values and error, spurious correlation, and singular cross-covariance matrices.
Geostatistical Functional Data Analysis
Geostatistical Functional Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Geostatistical Functional Data Analysis write by Jorge Mateu. This book was released on 2021-12-13. Geostatistical Functional Data Analysis available in PDF, EPUB and Kindle. Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields. This book provides a complete and up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field. Containing contributions from leading experts in the field, this practical guide provides readers with the necessary tools to employ and adapt classic statistical techniques to handle spatial regression. The book also includes: A thorough introduction to the spatial kriging methodology when working with functions A detailed exposition of more classical statistical techniques adapted to the functional case and extended to handle spatial correlations Practical discussions of ANOVA, regression, and clustering methods to explore spatial correlation in a collection of curves sampled in a region In-depth explorations of the similarities and differences between spatio-temporal data analysis and functional data analysis Aimed at mathematicians, statisticians, postgraduate students, and researchers involved in the analysis of functional and spatial data, Geostatistical Functional Data Analysis will also prove to be a powerful addition to the libraries of geoscientists, environmental scientists, and economists seeking insightful new knowledge and questions at the interface of geostatistics and functional data analysis.
