O'Reilly logo

Modeling and Analysis of Compositional Data by Vera Pawlowsky-Glahn, Juan Jose Egozcue, Raimon Tolosana-Delgado

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 3The Aitchison geometry

3.1 General comments

In real space, we are used to add vectors, to multiply them by a constant or scalar value, to look for properties such as orthogonality, or to compute the distance between two points. All this, and much more, is possible because the real space is a linear vector space with a metric structure. We are familiar with its geometric structure, the Euclidean geometry, and we are used to represent our observations within this geometry. But this geometry is not a proper geometry for compositional data.

To illustrate this assertion, consider the compositions c03-math-0001, c03-math-0002, c03-math-0003, and c03-math-0004. Intuitively, we would say that the difference between c03-math-0005 and c03-math-0006 is not the same as the difference between c03-math-0007 and . The Euclidean distance between them is certainly the same, as there is ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required