Quantifying rock fabrics: a test of autocorrelation of the spatial distribution of cristals
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A novel test of spatial independence of the distribution of crystals or phases in rocks
based on compositional statistics is introduced. It improves and generalizes the common
joins-count statistics known from map analysis in geographic information systems.
Assigning phases independently to objects in RD is modelled by a single-trial multinomial
random function Z(x), where the probabilities of phases add to one and are
explicitly modelled as compositions in the K-part simplex SK. Thus, apparent inconsistencies
of the tests based on the conventional joins{count statistics and their possibly
contradictory interpretations are avoided. In practical applications we assume that the
probabilities of phases do not depend on the location but are identical everywhere in
the domain of de nition. Thus, the model involves the sum of r independent identical
multinomial distributed 1-trial random variables which is an r-trial multinomial
distributed random variable. The probabilities of the distribution of the r counts can
be considered as a composition in the Q-part simplex SQ. They span the so called
Hardy-Weinberg manifold H that is proved to be a K-1-affine subspace of SQ. This is
a generalisation of the well-known Hardy-Weinberg law of genetics. If the assignment
of phases accounts for some kind of spatial dependence, then the r-trial probabilities
do not remain on H. This suggests the use of the Aitchison distance between observed
probabilities to H to test dependence. Moreover, when there is a spatial
uctuation of
the multinomial probabilities, the observed r-trial probabilities move on H. This shift
can be used as to check for these
uctuations. A practical procedure and an algorithm
to perform the test have been developed. Some cases applied to simulated and real
data are presented.
Key words: Spatial distribution of crystals in rocks, spatial distribution of phases,
joins-count statistics, multinomial distribution, Hardy-Weinberg law, Hardy-Weinberg
manifold, Aitchison geometry
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