Compositional data are vectors of quantities for which only the relative proportions carry information. In the standard positive case, they
are normalized to a fixed sum, such as 1 or 100, and therefore
lie in a simplex. Because an increase in one component
necessarily changes at least one other normalized component, ordinary Euclidean operations
on the raw coordinates can be misleading. Quantities
such as ,
and more generally log contrasts, are invariant under
rescaling of the whole vector and are basic tools of Aitchison geometry.
Compositional Data
See also
Aitchison Geometry, Log Contrast, SimplexExplore with Wolfram|Alpha
References
Aitchison, J. "The Statistical Analysis of Compositional Data." J. Roy. Statist. Soc. Ser. B 44, 139-160, 1982. https://doi.org/10.1111/j.2517-6161.1982.tb01195.x.Cite this as:
Weisstein, Eric W. "Compositional Data." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/CompositionalData.html