The Data set explorer provides a simple, immediate ‘dashboard’ access to all the data sets and their summary information. Clicking on a data set summary box will provide additional info as well as access to explore deeper using filtering and charting tools.
Previous tips can be found under the Software tip category in the News section and in the Archives section of our website.
Latest news
Building a greenfields project from public data in Geoscience ANALYST Pro – Virtual Lecture
See recording - Gem shows how Geoscience ANALYTS is a great tool to do exploration without getting your boots dirty...
Show and hide
In Geoscience ANALYST you can show and hide everything, individual objects, container groups or drillhole groups...
New importer: 2D SEG-Y
In Geoscience ANALYST you can visualize your block model data by volume in the Visual Parameters panel...
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Women Geoscientists in Canada
We are proud sponsors of WGC, advocates for increased gender balance within geosciences...
GOCAD Mining Suite – A geological modelling powerhouse
Past event, recording link available here...
Machine learning in mineral exploration
We have applied machine learning as part of custom solutions to complex exploration and geotechnical problems since 2015...
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...
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...
Getting started with the Python geoh5py
Past event, view here or via our YouTube channel...
New release – Geoscience INTEGRATOR 3.9
This version includes new functionality to provide a better user experience, such as: user notifications, new display options, and more!
A robust workflow for regional porphyry targeting; Application to the QUEST-South project area in southern British Columbia
Mitigating data science and statistical challenges is crucial to integrate machine learning into the everyday targeting tasks of exploration geologists.