Share

Geostatistics for Compositional Data with R

2021-11-19 Mathematics
Download Geostatistics for Compositional Data with R PDF Online Free

Author :
Release : 2021-11-19
Genre : Mathematics
Kind : eBook
Book Rating : 68X/5 ( reviews)

GET EBOOK


Book Synopsis Geostatistics for Compositional Data with R by : Raimon Tolosana-Delgado

Download or read book Geostatistics for Compositional Data with R written by Raimon Tolosana-Delgado. This book was released on 2021-11-19. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analyzing Compositional Data with R

2013-06-29 Mathematics
Download Analyzing Compositional Data with R PDF Online Free

Author :
Release : 2013-06-29
Genre : Mathematics
Kind : eBook
Book Rating : 093/5 ( reviews)

GET EBOOK


Book Synopsis Analyzing Compositional Data with R by : K. Gerald van den Boogaart

Download or read book Analyzing Compositional Data with R written by K. Gerald van den Boogaart. This book was released on 2013-06-29. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis. Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained.

Geostatistical Analysis of Compositional Data

2004-06-03 Science
Download Geostatistical Analysis of Compositional Data PDF Online Free

Author :
Release : 2004-06-03
Genre : Science
Kind : eBook
Book Rating : 370/5 ( reviews)

GET EBOOK


Book Synopsis Geostatistical Analysis of Compositional Data by : Vera Pawlowsky-Glahn

Download or read book Geostatistical Analysis of Compositional Data written by Vera Pawlowsky-Glahn. This book was released on 2004-06-03. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Compositional Data Analysis

2011-09-19 Mathematics
Download Compositional Data Analysis PDF Online Free

Author :
Release : 2011-09-19
Genre : Mathematics
Kind : eBook
Book Rating : 353/5 ( reviews)

GET EBOOK


Book Synopsis Compositional Data Analysis by : Vera Pawlowsky-Glahn

Download or read book Compositional Data Analysis written by Vera Pawlowsky-Glahn. This book was released on 2011-09-19. Available in PDF, EPUB and Kindle. Book excerpt: It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis. Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. Looks at advances in algebra and calculus on the simplex. Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. Explores connections to correspondence analysis and the Dirichlet distribution. Presents a summary of three available software packages for compositional data analysis. Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data.

Compositional Data Analysis

2011-08-24 Mathematics
Download Compositional Data Analysis PDF Online Free

Author :
Release : 2011-08-24
Genre : Mathematics
Kind : eBook
Book Rating : 614/5 ( reviews)

GET EBOOK


Book Synopsis Compositional Data Analysis by : Vera Pawlowsky-Glahn

Download or read book Compositional Data Analysis written by Vera Pawlowsky-Glahn. This book was released on 2011-08-24. Available in PDF, EPUB and Kindle. Book excerpt: It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis. Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. Looks at advances in algebra and calculus on the simplex. Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. Explores connections to correspondence analysis and the Dirichlet distribution. Presents a summary of three available software packages for compositional data analysis. Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data.

You may also like...