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
Search for data by spatial extent
This video shows you how to search for data from Geoscience INTEGRATOR by spatial extent...
Filtering samples by their drillhole
In Geoscience INTEGRATOR, you can can filter them according to the drillhole they are located in...
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.
Linking viewports
In Geoscience ANALYST you can synchronize the perspective of all visible Viewports to zoom, pan, and rotate them all at once...
Chasing Innovation from the Ground Up
Advances in geoscience are built on ingenuity. Circé Malo-Lalande knows it too well. Discover more about Canadian Royalties' fascinating success story.
Data fusion – Automatic sample compilation
In Geoscience INTEGRATOR, the Sample compilation page offers powerful tools to support the analysis of complex or difficult-to-view relationships within your sample data...
Importing and preparing DC/IP data for inversion with Geoscience ANALYST – Virtual Lecture
In 20 mins, Kristofer shows v3.4 new functionality for pre-processing and visualization of DC/IP 2D and 3D data - Geoscience ANALYST...
Upload global descriptions
In Geoscience INTEGRATOR, add an editable global description during import to save time and reduce errors...
Copying objects between Workspaces
In Geoscience ANALYST objects can be copied from one Workspace to another by using Ctrl+C and Ctrl+V...
Generating exploration models from a detailed structural interpretation and Artificial Intelligence
This approach uses the comment field of the logging table to extract general topics that can then be used as learning features in a supervised machine learning classification approach.
Digital Mapping, The Future!
Capture geological observations quickly, safely, and accurately, both in the field and office with HiveMap...
K-means clustering: compute inertia curve
In Geoscience ANALYST Pro the K-means clustering utility includes the ability to compute the data’s inertia curve...

