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Reich had first used pre-recorded tapes alongside live instruments in his string quartet Different Trains, and in this portrait of urban life extended the idea to a chamber orchestra, this time storing the sound bites on a pair of sampling keyboards.
We present Pearson correlation coefficient estimates of body length for each pair of sampling occasions in our analysis and for body growth for each pair of sampling intervals.
The geographical distance between each pair of sampling localities was calculated by GIS software Arcinfo 9.0 (ESRI Inc).
According to the method of Rousset (1997), we converted pairwise G′′st values into G′′st/(1 − G′′st) for each pair of sampling sites.
For pairwise analyses, the correlation coefficient for each pair of sampling occasions provides an estimate of repeatability over the time interval between sampling occasions (Lessells and Boag 1987).
Because of the non-independence of the replicate unit (i.e. a pair of sampling sites), we assessed the strength (as the Pearson coefficient of correlation) and the significance of each linear relationship using a re-sampling procedure (i.e. procedure analogous to the Mantel test; Manly 1997).
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(2) Compute the distances between each pair of samples and form the distance matrix.
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