EPISODE · Sep 7, 2022 · 57 MIN
Bridging Classical Geochemistry and Geochemistry in Data Science with Mike Whitbread
from GeOCHemISTea · host Sam Scher
For this episode we had a squiz at: "Mineral Geochemistry Vectoring: Uncovering Northwest Queensland’s Hidden Potential" (Steadman et al., 2021), "Improving geological logging of drill holes using geochemical data and data analytics for mineral exploration in the Gawler Ranges, South Australia" (Hill et al., 2021), and the tutorials on the Mineral Mapping website. There's a role for classical geochemistry (bivariate plots, probability plots, etc.) to play, but the future is moving towards a data science approach to geochemical data. Come listen to Mike's take on where geochemistry in industry is heading and where it still needs to shift.
What this episode covers
For this episode we had a squiz at: "Mineral Geochemistry Vectoring: Uncovering Northwest Queensland’s Hidden Potential" (Steadman et al., 2021), "Improving geological logging of drill holes using geochemical data and data analytics for mineral exploration in the Gawler Ranges, South Australia" (Hill et al., 2021), and the tutorials on the Mineral Mapping website. There's a role for classical geochemistry (bivariate plots, probability plots, etc.) to play, but the future is moving towards a data science approach to geochemical data. Come listen to Mike's take on where geochemistry in industry is heading and where it still needs to shift.
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Bridging Classical Geochemistry and Geochemistry in Data Science with Mike Whitbread
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