The Distance Maps Module, part of the Data Augmentation suite, transforms vector features, such as lines representing geological structures like faults, shears or contacts or points marking surface samples, into continuous grids (rasters).

Each cell in the output grid is assigned a value based on the Euclidean distance (straight-line distance) from each input vector feature (like points, lines, or polygons) on a map, resulting in a continuous proximity surface grid.

This transformation is especially valuable in structurally controlled deposit types, such as orogenic gold systems, where proximity to major structures often correlates with mineralization potential. By converting discrete geometric features into continuous spatial data, the Module enables clearer spatial interpretation and supports more advanced analysis downstream in DORA’s modelling workflows.

Distance Maps are versatile and can be used both within DORA and independently during early-stage interpretation or target generation. Within DORA, the output is typically included in the feature stack for machine learning, where spatial proximity becomes one of several inputs used to model mineralization potential. The raster format ensures compatibility with other standardized layers such as geophysics, geochemistry, and geological domain probabilities.

Outside of DORA, the output can be used as a standalone interpretive layer to highlight areas of interest based on proximity to key structural features or surface indicators. This is especially useful during field planning or when communicating rationale to stakeholders.

Because the Module applies distance calculations uniformly across all features, it provides spatial context without making assumptions about mineralization. This allows exploration teams to overlay multiple lines of evidence and apply geological judgment to prioritize areas. For example, a geologist might compare a distance-to-fault grid (raster) with geochemical anomalies to identify zones where favourable conditions align.

In structurally complex environments, particularly those with limited outcrop or incomplete mapping, Distance Maps help translate qualitative interpretations into quantitative inputs. This supports clearer decisions and increased confidence in target selection.

Distance Maps provide a way to quantify spatial relationships that are often fundamental to mineral systems, especially those controlled by structure. In the case of orogenic gold deposits, for example, proximity to major faults or shear zones frequently correlates with the movement of mineralizing fluids. This Module allows geologists to translate these conceptual models into spatially continuous data layers that can be fed into DORA’s predictive modelling workflows.

By assigning a numerical distance value to every point within the Area of Interest (AOI), the output becomes a usable input in quantitative analysis. This enables a more objective and robust spatial assessment than visual inspection alone. When used in combination with other Data Augmentation Modules such as Fault Disturbance Maps, Lineament Density, or Structural Complexity, Distance Maps contribute to a more complete and integrated view of the geological system being explored.

The Module is also highly flexible, accepting points, lines, or polygons as inputs. This allows geologists to calculate proximity to a wide range of features, from mapped fault traces to alteration zones or surface sample locations with notable geological characteristics. As a result, the tool supports multiple exploration use cases beyond traditional structure-driven targeting.

Reach out to your dedicated DORA contact or email support@VRIFY.com for more information.