Compositional Analysis in the Study of Mineralization Based on Stream Sediment Data

摘要: Stream sediment data, widely used in geochemical exploration and environmental studies, are typical compositional data that should be opened prior to analysis. In this study, the closure problem with is addressed from three aspects of univariate, bivariate multivariate analysis a case study southwestern Fujian depression belt China. The results show that: (1) robust estimators, such as median absolute deviation useful measure center spread for univariate analysis; (2) isometric logratio (ilr) information applied variability stability between two variables (3) principal component ilr transformed reduce dimensionality multiple obtain mineralization-linked