A. Buccianti’s scientific contributions

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


Compositional Data Analysis: Theory and Applications
  • Book

July 2011

·

352 Reads

·

637 Citations

·

A. Buccianti

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.

Citations (1)


... Major associations of chemical elements that can be found in environmental media (soil, sediments, and waters) and whose presence can serve as markers of specific anthropogenic processes [1]. Geochemical data are expressed as compositions represented by a quantity relative to a total, and, within a sample, the sum value of these data is constant (e.g., 1 kg, 100%), implying that geochemical data are characterized by a "closed" structure, wherein knowledge of D-1 components suffices to gain a complete understanding of a composition constituted by D components [2][3][4]. ...

Reference:

Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Region (Italy)
Compositional Data Analysis: Theory and Applications
  • Citing Book
  • July 2011