A 3D surface map has two things: a surface generated from gridded data and a Z value to represent height. While it adds a professional aesthetic to a report, it is fundamentally a “2.5D” visualization.

This term refers to the mathematical constraint of the environment: for any given X–Y coordinate, there can only be exactly one Z value. Because the map exists within a traditional 2D framework, it cannot model overlapping features or complex subsurface horizons.

Visually, this limitation is often masked by a “Fill-Down” or “Skirt” effect, where the space beneath the surface is filled with a solid color down to a baseline. While this creates the appearance of a solid block, it reinforces the fact that you are looking at a single, opaque shell rather than a realistic environment.  However, this feature can be used to your advantage to create multi-layered block diagrams. 

By stacking multiple independent 3D surfaces and filling each down to the next layer, you can produce a more complete visual where each color represents a specific geological unit. While this setup is rigid—requiring you to carefully order layers—it’s helpful in communicating subsurface relationships in a static format. 

Once a 3D surface map is placed on the page, its perspective is typically predefined. You’re viewing the surface from a chosen angle, but that angle is fixed.

You cannot freely rotate the map, tilt it, or explore it from beneath or behind once it has been exported or embedded in a report. What the viewer sees is what the creator selected in advance.

That limitation matters when interpretation depends on perspective. Certain ridges, depressions, or gradients may appear more or less pronounced depending on the viewing angle, but the viewer cannot investigate alternative viewpoints.

Traditional 3D surface maps offer limited support for coordinate system transformations. While they effectively display gridded data within a given coordinate framework, they aren’t built to support projects that have different datasets with varying spatial references. The datasets will not overlay accurately.

One of the most immediate benefits of 3D View is navigation. In a 3D View environment, users can do the following:

• Rotate the model freely
• Zoom in or out with precision
• Tilt the scene to inspect slopes, boundaries, or intersections
• View the model from underneath the surface

This freedom of movement dramatically changes interpretation. Features that may appear subtle or distorted from one angle can become obvious from another. Instead of accepting a predefined viewpoint, you can investigate the data from multiple perspectives until the spatial relationships make sense.

One of the most critical advantages of 3D View is the ability to visualize boreholes and drillholes in their true context. In a 2D or 2.5D map, a drillhole is merely a point on a surface. In 3D View, you can see the depth of the interval as it penetrates the terrain.

This equips you to visually correlate surface anomalies with subsurface data. You can observe exactly where a drillhole intersects a water table or a geological contact, providing a level of intuitive interpretation that a single surface cannot offer.

The 3D View can display multiple data types interacting within the same space. Within this environment, you can layer these elements:

• Multiple surfaces, such as topography and groundwater elevation
• Vector files like roads, property boundaries, or infrastructure
• Drillholes and borelogs
• True 3D volumes, such as contaminant plumes or subsurface bodies

This layered approach allows you to see how datasets intersect and influence one another. Instead of evaluating surfaces in isolation, you observe relationships in context. For example, you can visually assess whether a drillhole intersects the predicted water table at the expected depth, something that is far more intuitive in a true 3D environment than on a static surface.

Another critical benefit of 3D View is coordinate system support. 3D View fully supports coordinate systems, empowering you to take data from different sources—such as WGS84 drone imagery, NAD83 survey data, and local LiDAR scans—and align them accurately in the same 3D space. 

Instead of manually reprojecting files or dealing with “shifted” surfaces, 3D View handles the transformations in real-time. This ensures that your vectors, surfaces, and volumes are positioned correctly relative to one another, making it an essential environment for integrated project analysis.

3D View also enhances visual depth through adjustable lighting and transparency controls. With these tools, you can accomplish tasks such as:

• Making a topographic surface semi-transparent to expose contaminant plumes
• Viewing infrastructure from satellite imagery in relation to subsurface features
• Highlighting specific layers while de-emphasizing others

These visual tools support clearer interpretation and more effective communication, and make your final output more visually engaging.