A major challenge that bedrock mineral exploration faces in many parts of South Australia is exploring efficiently and effectively through extensive and thick regolith cover. The South Australian regolith map aims to provide a broad-scale...

A major challenge that bedrock mineral exploration faces in many parts of South Australia is exploring efficiently and effectively through extensive and thick regolith cover. The South Australian regolith map aims to provide a broad-scale framework for guiding geochemical prospecting for a wide range of minerals and materials, as a basis for guiding mineral exploration, and to provide a useful dataset for addressing other land use issues like groundwater.

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The induration dataset was compiled mainly using the 1:100,000 and 1:2,000,000 geology layer (SARIG). For the calcareous induration layer following additional data were used: Soil Atlas GDA94 region with extra attribute (Northcote), DWLBC soil map...

The induration dataset was compiled mainly using the 1:100,000 and 1:2,000,000 geology layer (SARIG). For the calcareous induration layer following additional data were used: Soil Atlas GDA94 region with extra attribute (Northcote), DWLBC soil map surface carbonate layer SARIG calcrete sample layer, Figure 3 in: Lintern, MJ 1997. Calcrete sampling for gold exploration. MESA Journal, 5:5-8) and Malcolm Sheard (pers.comm. 2012). For the mixed calcareous-gypsiferous layer the Goyder line and Malcolm Sheard (pers.comm. 2012) was additionally used.

Positional accuracy:Nominal scale 1:2,000,000 highly variable since dataset derived from data at various scales between 1:100,000 and 1:2,000,000.
Attribute accuracy:Various: imported and modified from existing digital datasets.
Logical consistency:Most of the information is derived from pre-existing digital data, and interpretations based on the personal experience or judgement by the authors and other Geological Survey of South Australia geoscientists have been used where data were unavailable. Several geoscientists visually inspected the finished dataset to make sure the attributes were accurate and the data were consistent spatially with current scientific information.
Completeness:Complete for South Australia, subject to update.

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