Similarity measures
17.17 Steinhaus
If W is the sum of the minimum abundance for each species in two samples, A
and B are the sum of the abundance of all the species in each sample this
similarity coefficient is given by:
This measure is:
W/A + B
17.18 Czekanowski distance
There is some confusion in the literature as to the correct name for this distance
measure. It is attributed to Steinhaus by Motyka (See Legendre & Legendre,
For two samples the distance is given by:
where w is the sum of the minimum abundances of the species in the two
samples, A is the sum of species abundance in sample 1 and B is the sum of
species abundance in sample 2.
17.19 Kulczynski Quantitative
Using the same nomenclature as for the 
Steinhaus coefficient
, this measure is
given by:
17.20 Euclidean
This is the most commonly used metric distance measure. If si1 and si2 are the
abundances of species i in samples 1 and 2 respectively then the Euclidean
distance is:
where n is the total number of species.

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