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.
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 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.
Compositional Data Analysis in the Geosciences
Compositional Data Analysis in the Geosciences - 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 Compositional Data Analysis in the Geosciences write by Antonella Buccianti. This book was released on 2006. Compositional Data Analysis in the Geosciences available in PDF, EPUB and Kindle. Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologists such as Felix Chayes. The solution appeared in the 1980s, when John Aitchison proposed to use Iogratios. Since then, the approach has seen a great expansion, mainly building on the idea of the `natural geometry' of the sample space. Statistics is expected to give sense to our perception of the natural scale of the data, and this is made possible for compositional data using Iogratios. This publication will be a milestone in this process.
