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Module Name: Multivariate Geological Data Processing
Staff involved: Dr D.R. Cohen (The University of New South Wales)
Module Objectives: To familiarise students with a range of multivariate data processing methods designed to reveal patterns of correlation between variables or associations between samples, and isolate anomalous observations. Methods are commonly applied in geology, geochemistry and geophysics.
Module Program: Population characterization and exploratory data assessment. Anomaly definition and detection in geochemical and geophysical data. Multiple regression analysis. Multivariate techniques including principal components and factor analysis, discriminant and cluster analysis with applications in earth sciences. Non-parametric methods. Selected case studies and laboratory exercises employing a variety of statistical and graphical packages. Course assumes a familiarity with basic statistics and use of PCs.
Format, duration and timing: 4-day short course incorporating computer laboratories (Not offered in 2004).
Assumed Knowledge: A familiarity with basic statistics.
Text and/or reference materials: Notes are provided during course.
Assessment: A five-part practical assignment, most of which will be completed during the short course.
Module contact person and coordinator: