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In Geoscience ANALYST Pro’s version 3.3, you can quickly partition your data based on the K-means clustering algorithm. This simple, yet powerful algorithm allows you to take a data science approach to group data into a specified number of clusters.

In this example, geochemistry surface samples are split into 6 clusters according to their K2O%, SiO2%, TiO2%, and Zr_ppm values.

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Advanced geophysical interpretation, modelling and inversion
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UBC-GIF or VP Suite inversion?

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Macros

In GOCAD Mining Suite you can save lots of time with SKUA-GOCAD’s macros, a built-in scripting tool in which you can record or enter a sequence of commands to carry out or repeat at any time...
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Attending AME Roundup 2026?

Visit us at booth 416 to see our software solutions in action and discuss your needs with our expert team!
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Geoscience ANALYST Pro Geophysics Consortium

Focused on delivering software and methods that make the use of advanced geophysics a day-to-day, practical reality for industry.
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Watch as Carla shows the new and updated tools in Geoscience ANALYST 4.0...
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January, 20 2020

Adding reference images

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Case studies
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Using magnetic susceptibility measurements to define mineral exploration targets

Combining magnetic survey data with measured drillcore susceptibility data greatly increases the resolution and geometrical accuracy of the magnetic inversion...
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Filtering samples by their drillhole

In Geoscience INTEGRATOR, you can can filter them according to the drillhole they are located in...
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Tagging query results

In Geoscience INTEGRATOR, this allows you to rapidly access that subset of objects. Instead of having to search and select multiple filters every time...
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