As major sources of copper (Cu) have been discovered, there is a critical need to identify smaller, more remote, or buried Cu sources to accommodate the increased proportion of the electricity that comprises the power supply. Geochemical features of zircon minerals from river sediment may be used to identify whether the igneous rocks from which they are derived contain Cu and hence whether the catchment is worth further exploration. Exploitation of this data requires a multi-variate approach capable of identifying unique endmembers in a mixed data set and assign proportions of the mixed data set to each of the endmembers. This project will test a method that we have developed to identify endmembers from zircon data sets.