Spatial QM

• Spatial QM
• • Overview
  • Key Features
  • Why Spatial Visualisation Is Needed
  • Current Industry Practices and Challenges
  • Spatial QM Value

Overview

Spatial QM is a visualisation and validation module within the SABLE® platform that provides powerful tools for plotting and evaluating geoscientific data in both 2D and 3D contexts. It enables users to spatially validate primary and secondary data, offering improved data confidence and project understanding. Spatial QM also integrates seamlessly with third-party spatial datasets, enhancing planning, interpretation, and communication across disciplines and roles.

Key Features

Integrated 2D/3D Spatial Viewer

• Centralised platform for visualising spatial datasets from SABLE and third-party sources.
• Supports intuitive navigation and analysis of spatial relationships in both two and three dimensions.

Enhanced Data Validation

• Enables spatial validation of geoscientific data, beyond what is possible in tabular form.
• Provides spatial selection tools to assist in reviewing and confirming data accuracy.

Why Spatial Visualisation Is Needed

Exploration and mining projects generate vast quantities of spatially referenced data—acquired by professionals from diverse backgrounds, with varying degrees of technical proficiency. A spatial viewer ensures that all team members, including those not directly involved in data collection, can easily access and interpret this data in its geographical context.

Seeing data in spatial form is essential for validation, as many errors and inconsistencies only become apparent when viewed spatially. The visual component significantly enhances the data sign-off process and ensures better alignment across teams involved in planning, analysis, and operations.

Current Industry Practices and Challenges

In many operations, access to spatial mapping software is limited due to licensing constraints or software complexity. Team members often rely on shared licenses or workarounds, and many available tools offer more functionality than is required for basic validation tasks.

This situation frequently results in key personnel—especially those responsible for data quality—not having direct access to spatial validation tools. This limitation impedes data confidence and increases the risk of errors passing undetected.

Spatial QM Value

Spatial QM addresses these challenges and delivers significant benefits by providing:

• Unlimited user access to spatial data visualisation and validation tools.
• Efficient and user-friendly interface for reviewing data within the SABLE® database.
• Support for 2D and 3D spatial exploration across internal and external datasets.
• A unified platform that enhances collaboration across disciplines and roles.
• Improved project comprehension and communication with stakeholders.