Quantitative methods are widely used for characterization and spatial analysis of magmatic and hydrothermal mineral systems. These methods generally involve modelling of geological and analytical data using sophisticated computational tools such as numerical simulation, geophysical inversion, image processing and visualization, GIS and spatial analyses, data mining and knowledge discovery, etc. These computer-based techniques allow integrated interpretations of a wide variety of exploration data, e.g., lithological, tectonostratigraphic, structural, geochemical, geothermal, geophysical, multispectral/hyperspectral/thermal remote sensing, and digital elevation data, and thus lead to significantly improved understanding of mineral systems. An important utilitarian outcome of these techniques is mineral prospectivity mapping.

This session provides a platform for the latest research in quantitative methods as applied to ore deposits. Contributions are invited from prospective authors with interest in one or more of the following research themes:

• Numerical models of rock deformation, heat transfer, fluid flow, and reactive transport processes
• Multispectral, hyperspectral, thermal and radar remote sensing applied to targeting mineral systems
• GIS-based or GIS-assisted prospectivity mapping of mineral deposits
• Visualisation, modelling and spatial analysis of geological data such as lithological, tectonostratigraphic, structural, geochemical, geothermal, geophysical and multispectral/hyperspectral data;
• Geophysical inversion