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Six sub-regions of the Margaret River Geographical Indication were proposed in 1999 in an attempt to characterize local variations in grape-growing conditions. Detailed environmental data has since been produced and this article aims at reassessing the proposed sub-regions by means of a GIS-based spatial analysis of the new datasets. Topography, climate, and a variety of soil parameters were reviewed, and a relevant set submitted to an unsupervised isocluster classification to determine the natural clustering of environmental parameters. The analysis shows that the initial sub-regions do not consistently respect climate patterns and soil type distribution. It is proposed to distinguish twelve natural units by considering temperature and rainfall gradients as well as the presence of the Dunsborough Fault system which appears to have a significant control on soil distribution. This study also shows that average growing season temperatures have gained +0.2°C across the peninsula from 1961–2000 to 2001–2015.

The assumption of continuity of mineralisation between sampling points, as stated in the JORC Code, requires a "confident interpretation of the geological framework". The elements of relevance to a geological framework vary greatly depending on the commodity and style of mineralisation. In general terms, at least two elements must be considered to underpin a geological framework: space and time. The geometry and location of a mineralised body are controlled by physical and/or chemical elements, which can be unravelled by detailed geological mapping, adequate geochemical (including a quality analysis-quality control program) and structural interpretations, and by 3D geological modelling. These elements may involve, among other, aspects of stratigraphy, chemical or physical properties of the rocks (e.g. texture, grain size) and structural features such as faults, fractures and folds. Mineralisation events that lead to economic deposits are often relatively short-lived periods of focused fluid transfer and elementexchange, which result in mobilisation and deposition of metals in well-defined areas. Understanding the temporal framework and interaction of structural elements and mineralising events (determining genetic relationships, e.g. pre-, syn-and post-mineralisation) results in the development of more accurate geological models and can lead to predictive capabilities and new discoveries. We present case studies in regional metamorphic, igneous, sedimentary and surficial geological environments, demonstrating how understanding the mineralisation system not only results in increased confidence in the resource, but also facilitates reduction of exploration risks.