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Aitchison Geometry


Aitchison geometry is the geometry of compositional data, whose coordinates are positive and are considered only through their relative proportions. For a fixed total kappa>0, its sample space is the open simplex

 S^d=[{x=(x_1,...,x_d):x_i>0, sum_(i=1)^dx_i=kappa]}.
(1)

If C(x)=kappax/sum_(i)x_i denotes closure to this simplex, the analogs of vector addition and scalar multiplication are the perturbation and powering operations

x direct sum y=C(x_1y_1,...,x_dy_d)
(2)
alpha circledot x=C(x_1^alpha,...,x_d^alpha).
(3)

The centered logratio coordinates clr(x)_i=ln(x_i/g(x)), where g(x) is the geometric mean of the coordinates, identify S^d with a (d-1)-dimensional vector space. Each centered logratio coordinate is a log contrast. In particular, the Aitchison distance is the distance induced by the Euclidean metric between centered logratio coordinate vectors.


See also

Compositional Data, Euclidean Metric, Geometric Mean, Log Contrast, Simplex

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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. "Aitchison Geometry." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/AitchisonGeometry.html

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