University Of Tasmania
Cracknell and de Caritat 2017.pdf (5.16 MB)
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Catchment-based gold prospectivity analysis combining geochemical, geophysical and geological data across northern Australia

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journal contribution
posted on 2023-05-19, 09:51 authored by Matthew CracknellMatthew Cracknell, de Caritat, P

The results of a pilot study into the application of an unsupervised clustering approach to the analysis of catchment-based National Geochemical Survey of Australia (NGSA) geochemical data combined with geophysical and geological data across northern Australia are documented. NGSA Mobile Metal Ion® (MMI) element concentrations and first and second order statistical summaries across catchments of geophysical data and geological data are integrated and analysed using Self-Organizing Maps (SOM). Input features that contribute significantly to the separation of catchment clusters are objectively identified and assessed.

A case study of the application of SOM for assessing the spatial relationships between Au mines and mineral occurrences in catchment clusters is presented. Catchments with high mean Au code-vector concentrations are found downstream of areas known to host Au mineralization. This knowledge is used to identify upstream catchments exhibiting geophysical and geological features that indicate likely Au mineralization. The approach documented here suggests that catchment-based geochemical data and summaries of geophysical and geological data can be combined to highlight areas that potentially host previously unrecognised Au mineralization.


Publication title

Geochemistry: Exploration, Environment, Analysis








School of Natural Sciences


Geological Society Publishing House

Place of publication

United Kingdom

Rights statement

Copyright 2017 Commonwealth of Australia (Geoscience Australia). Licensed under Creative Commons Attribution 3.0 Unported (CC BY 3.0)

Repository Status

  • Open

Socio-economic Objectives

Precious (noble) metal ore exploration