Practical applications of multivariate statistics in exploration geochemistry

Abstract

The search for new economic ore-deposits becomes increasingly difficult. A sophisticated approach is required to locate new ones. In exploration geochemistry the use of uni- and multivariate statistics is often advocated. In this series of studies it is shown how techniques such as factor analysis, discriminant function analysis, non linear mapping and cluster analysis can be of use to the exploration geochemist. Applications are presented to geochemical rock, sediment and water surveys