Cluster analysis was undertaken using IBM SPSS Statistics 20. Variables were first standardized to produce z scores so that each would have equal weighting in the models. Only samples that provided valid data for all three isotope provenancing indices were included in the analysis (n = 122). Eight samples that provided poor δ34S replicates were omitted, and the single sample from Mount Pleasant (MP107) with anomalous δ15N and δ18O values (that can be explained by an unusual diet) was also omitted as this would alter the model for reasons other than origins. The hierarchical cluster analysis was then undertaken to guide the predefined number of clusters, described as K, in K-means cluster analysis. This is a measure of dissimilarity, and one output is a dendrogram, which displays the rescaled distance between samples in terms of their isotope signatures. This exploratory analysis informs the K value by using the number of clusters on the dendrogram at different rescaled distance values. The hierarchical cluster analysis used the “between-groups average linkage” cluster method with a squared Euclidean distance interval measure.

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