Through the Style Editor, property values in atomic objects can be displayed as text in the 3D Viewer. This is a simple and straightforward way to visualize properties, such as sample-ID in surface samples or assay values in desurveyed drillholes.
Previous tips can be found under the Software tip category in the News section and in the Archives section of our website.
Latest news
Themes
Geoscience INTEGRATOR v3.5 and Geoscience ANALYST v3.2 include new themes and renamed ones to help you to locate data in a more intuitive way.
Operations on multiple files
In Geoscience INTEGRATOR, you can carry out various operations on multiple files simultaneously...
Darlot Gold Mine Area, Australia
3D Interpretation of geological, 3D seismic, and conventional geophysical data for brownfields exploration targeting...
VPmg, VPem1D and VPutility release
VP Geophysics Suite releases: VPmg version 9.3, VPem1D version 4.3 and VPutility version 1.2...
Using predictive modelling in mineral exploration
We carried out targeting work for IOCG-style mineralisation in the Mt Dore area of QLD, Australia. We produced a 3D model and predictive exploration map...
Project locks
In GOCAD Mining Suite, lock files manage the reading and writing of SKUA-GOCAD projects. They are automatically created...
Q&A: Revival Gold Inc.
We discussed Mira Geoscience’s contribution to further understand the Beartrack-Arnett gold project area using modern exploration techniques...
Adding comments to folders and objects
In Geoscience ANALYST, text comments and website links can be added in the Data Table...
Extending workflows with rapid model generation – Virtual Lecture
Past event - Shaun O'Connor showed how to use the built-in scripting tools for exploratory geological modelling with sparse data...
Coordinate display area
In Geoscience ANALYST you can get real-time feedback on the XYZ coordinates corresponding to the...
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Find and Replace
In GOCAD Mining Suite find and replace any objects you're looking for in no time...
K-means clustering
In Geoscience ANALYST Pro’s v3.3, you can quickly partition your data based on the K-means clustering...

