Using the WebUI

• Working with Projects
• Introduction
• Creating a Project
• Project Setup
• Project Coordinate System
• Linking Users to Projects
• Creating a View
• Adding Spatial Entities to a Project
• Introduction
• Point Cloud (Raw Data)
• Ortho-Imagery (Raw Data)
• Block Model (Raw Data)
• Mesh (Raw Data)
• Indexed Mesh (Processed)
• Indexed Point Cloud (Processed)
• Voxel Point Cloud (Processed)
• Voxel Terrain (Processed)
• Voxel Block Model (Processed)
• Program
• View
• Report
• Data Export
• Working with Views
• Introduction
• Creating a View
• Adding Layers to a View
• Working with Cross-sections
• Working with Reports
• Introduction
• Viewing Reports
• Creating a Report

Working with Projects

Introduction

Working with Projects

The VoxelSpace platform uses a data-centric approach to help organizations scale the spatial understanding of their operations.

At the core of this approach is a shared repository of spatial data objects, known within the platform as Entities. These Entities represent a wide range of geospatial and design data types, including:

Entities can be shared across different teams within the organization—subject to security and access controls.

Most organizations generate thousands of Entities annually. These may include datasets captured from the field, models created by internal teams, or results generated through automated spatial processing. The full collection of these assets forms the organization’s Catalog.

Project Structure and Organization

To manage large volumes of Entities, the platform organizes the Catalog into a hierarchy of Projects and Folders.

·         Projects serve as containers for related Entities, workflows, and team collaboration.

·         Each project can have its own custom folder structure, defined by the project team.

·         Access permissions, folder layouts, and the selection of Entities within each project are configurable by the organization’s users.

After logging in, users can navigate to the “Catalog” section in the left-hand menu to see a list of accessible Projects.

Clicking on a Project will open its workspace. This loads the Project Catalog, where users can browse and interact with the folder structure and associated Entities.

Users can organize the catalog by creating folders using the “New Folder” button. This helps maintain clarity and structure as more Entities are added to the project.

Creating a Project

To create a new Project in VoxelSpace, start by navigating to the “Catalog” section from the left-hand menu. This will display a list of all projects currently assigned to your user account.

Next, click the “New Project” button, located at the top of the project list:

A dialog window will appear, prompting you to enter information about the new Project:

In this dialog, provide:

•  A Project Name
•  An optional Description

Below these fields, you’ll find settings for the Project’s Coordinate System. These define how spatial data will be aligned and interpreted within the project. For more details, refer to the Project Coordinate System section of this guide.

Once you’ve entered the necessary information, click “Create.”
The system will generate the project and automatically load it, placing you in the Project Catalog view where you can begin organizing folders and uploading spatial entities.

Project Setup

To modify Project settings, first go to the catalog and click on three-dot menu of your project and select Edit:

I

Project Coordinate System

Use the “Coordinates” section when creating or editing a project to define its units, reference systems, and spatial framework.

These settings are essential for aligning all spatial data correctly within your project and ensuring consistency across datasets.

Field	Description
Time Zone	Sets the local time zone for the project location. This helps timestamp data and coordinate updates across time-based processes.
Horizontal Datum	A horizontal datum defines how latitude and longitude coordinates are calculated based on the shape of the Earth. VoxelSpace supports the following horizontal datums: • WGS 72 • WGS 84 • GRS 80 • NAD27 • NAD83 • NAD83 (2011) • NAD83 HARN • NAD83 CSRS • GDA94 • ETRS89 • AGD66
Vertical Datum	A vertical datum sets the reference surface used to measure elevation or depth. VoxelSpace supports the following vertical datums: • WGS 84 • NGVD 29 • NAVD 29 • NAVD 88 (GEOID variants 96–12B) • CGVD 28 • CGVD 2013 • DVR 90 • NN2000 • NN54 • DHHN92
Projection	Defines the map projection used to represent the Earth’s curved surface in 2D/3D space. Supported projections include: • Latitude/Longitude • Longitude/Latitude • Earth-Centered Earth-Fixed (ECEF) • Mercator • Universal Transverse Mercator (UTM) • Transverse Mercator • Lambert Conformal Conic • AEAC • AMG • MGA
Units	Choose whether your project uses meters or feet for all distance measurements.
Voxel Size	Voxels are 3D cubes. This setting defines the edge length of each voxel (in project units).
Project Origin (X, Y, Z)	The origin point of the project’s coordinate space. All spatial data will be referenced relative to this point.
Min X, Y, Z (Read-only)	The minimum bounds of the coordinate system in each axis. Calculated automatically.
Max X, Y, Z (Read-only)	The maximum bounds of the coordinate system in each axis. Calculated automatically.

Next Steps

After setting the coordinate system, click “Next” to continue defining the dimensions and spatial extent of your project.

Linking Users to Projects

VoxelSpace features a built-in security model that controls user access based on authentication and assigned permissions. Once a user is authenticated via the login provider, they can be linked to specific projects with appropriate access levels.

Adding a User to a Project

To assign a user to a project:

1. Go to your user profile by clicking on your name or profile icon (My profile).

2. Navigate to the “My Team” tab.

3. Click “Add New User” to create a new user account.

4. After the user is created, click the Settings icon next to their name.

5. Select “Add Project” to assign a project to the user.

6. In the dialog box, enter the following details:

• • • User ID: This is typically the user's email address, but it may vary depending on your authentication setup. If you're unsure, consult your system administrator.
    • Access Level: Choose between:
      • Read-Only: The user can view project data but cannot modify or add content.
      • Full Control: The user can view, edit, add data, and manage user access for the project.

7. Click “Add User” to send an invitation. The user will receive an email with instructions to join the platform and access the assigned project.

Managing User Access

• To change a user’s access level, click the Settings icon next to their name and select “Access Level.”

• To remove a user from a project, open the context menu beside their name and select “Remove from Project.”

Creating a View

Creating a View for your project. The WebUI provides two different ways to start the creation of a View...

More  options for View

Adding Spatial Entities to a Project

Introduction

You can use the VoxelSpace WebUI to add a wide range of spatial entities—including point clouds, block models, terrain, meshes, and more. These entities serve as the foundation for analysis, visualization, collaboration, and reporting within your project.

Getting Started

To add new spatial data to your project:

1. Navigate to the Project Page.
2. Open the Catalog section from the left-hand menu.
3. Click on the “Add Object” button to view a list of supported entity types.
4. Select the entity type you wish to create, then follow the prompts to enter metadata and upload relevant files.

Once you select the desired entity type from this list, the page will prompt for additional information. 

Point Cloud (Raw Data)

A Point Cloud entity stores raw spatial data collected from sources such as LiDAR or photogrammetry. Uploading point clouds into VoxelSpace is the first step toward visualizing and processing high-resolution terrain or structure data.

Upload raw LiDAR or scanned data as a point cloud. The system accepts LAS, LAZ, ASCII, or ZIP formats.
→ Used for spatial analysis, terrain generation, and modeling.

Uploading a Point Cloud

1. Navigate to the Catalog section and select the project where you want to upload the point cloud.
2. Click the “Add Object” button.
3. From the dropdown menu, choose “Point Cloud.”

4. You’ll be prompted to enter the following details:

Field	Description
Item Name	A descriptive, readable name for the new point cloud entity.
Capture Date	(Optional) The original date the point cloud data was collected.
Horizontal Datum	The horizontal reference system used (e.g., WGS 84, NAD83).
Vertical Datum	The vertical reference system used for elevation or depth.
Projection	The coordinate projection applied to the dataset.
Horizontal Units	Units used for horizontal measurements (e.g., meters or feet).
Vertical Units	Units used for vertical measurements (e.g., meters or feet).

5. After entering the required metadata, click “Choose Files” to upload your data.

You can select multiple files during upload. The platform currently supports the following formats:

• Text files (ASCII) with comma- or space-separated values
• LAS files
• LAZ files
• ZIP archives containing any of the above formats

 

6. Once files are selected, click “Create” to begin the upload process.

You can monitor the upload progress from the “Pending” section within the selected project.

Ortho-Imagery (Raw Data)

The Ortho-Imagery entity stores a set of georeferenced images—typically aerial or satellite imagery—used for detailed mapping, visualization, or terrain analysis.

Add georeferenced aerial imagery with associated world files (e.g., JPG + JGW). Supports bulk uploads via ZIP.
→ Ideal for surface visualization and texture mapping.

Uploading Ortho-Imagery

1. Navigate to your project’s Catalog section and click “Add Object.”
2. From the list, select “Ortho-Imagery.”

    3. You’ll be prompted to provide the following metadata:

Field	Description
Item Name	A readable, descriptive name for the new imagery set.
Capture Date	(Optional) The original date when the imagery was captured.
Horizontal Datum	The horizontal datum used in the world registration files (e.g., WGS 84, NAD83).
Projection	The projection used by the world registration files.
Horizontal Units	Units used in the registration files (typically meters or feet).

Uploading Files

·         Click “Choose Files” to select the image files you wish to upload.

·         Each image must have a corresponding world file for proper georeferencing.

·         You can also upload ZIP archives that contain both images and their associated world registration files.

Image Format	Expected World File Extension
.JPG	.JGW
.PNG	.PGW
.BMP	.BPW
.TGA	.TAW
.TIF	.TFW

4. Once your files are selected, click “Create” to begin the upload process.

5. You can track the progress of your upload in the “Pending” section of the project’s page.

Block Model (Raw Data)

A Block Model entity stores structured 3D block data—typically used in resource estimation, geological modeling, and spatial analysis. The model is uploaded as a comma-separated ASCII text file, where each row represents an individual block.

Import structured block models in CSV format. Each row represents a volumetric block with positional and attribute data.
→ Commonly used in mining and geological modeling.

Uploading a Block Model

1. Navigate to your project’s Catalog section and click “Add Object.”
2. From the dropdown, select “Block Model.”

3. Fill out the following fields:

Field	Description
Item Name	A descriptive name for the new block model entity.
Capture Date	(Optional) The original date the model data was captured.
CSV Header	A comma-separated line of headers that define how each column in the block model should be interpreted. (Details below.)
Horizontal Datum	The horizontal reference system used in the model.
Vertical Datum	The vertical reference system used for elevation values.
Projection	The map projection used in the dataset.
Horizontal Units	Units for X and Y coordinates (e.g., meters, feet).
Vertical Units	Units for Z coordinates (e.g., meters, feet).

CSV Header

The CSV Header field defines how each column in your file should be interpreted. For example, a header line like:
XC,YC,ZC,XL,YL,ZL,AU,CU
…will produce a list of Column Definitions for each value, allowing you to specify their role in the model.

Column Types

Each column must be assigned a Type, which tells the system how to process it:

Type	Purpose
Ignore	Exclude this column from processing.
Set	The column contains a small set of repeating categorical values.
Value	Numeric values (e.g., grades, densities).
Block Centroid X/Y/Z	Coordinates for the block’s center point.
Block Origin X/Y/Z	Coordinates for the block’s origin corner.
Block Dimension X/Y/Z	Size of the block along each axis.

Note: You must choose either block centroids or block origins for positioning—not both. Using both will result in an input error.

Level of Detail (LOD) Aggregation

Each numeric column (e.g., grades or quantities) can also be configured with a Level of Detail (LOD) operation, which determines how values are aggregated in lower-resolution views:

LOD Option	Description
Average	Average of all higher-resolution values.
Min	Minimum value from the finer data.
Max	Maximum value from the finer data.
Add	Sum of all values (ideal for counters).
Multiply	Product of all values.

Uploading the File

• Click “Choose File” to upload your block model file (CSV or TXT format).
• You may also upload a ZIP archive that contains your ASCII file.

Click “Create” to start the upload process. You can monitor the progress in the project’s “Pending” section.

Mesh (Raw Data)

A Mesh entity stores raw 3D surface geometry, such as terrain models, structural designs, or scanned objects. VoxelSpace currently supports mesh uploads in the FBX and OBJ formats.

→ Useful for infrastructure, CAD designs, and high-detail scanned models.

Uploading a Mesh

1. In your project’s Catalog, click “Add Object.”
2. Select “Mesh” from the dropdown menu.

3. Fill in the required metadata fields:

Field	Description
Item Name	A clear, descriptive name for the mesh entity.
Capture Date	(Optional) The date the mesh was captured or created.
Horizontal Datum	The horizontal reference system used in the mesh.
Vertical Datum	The vertical reference system used for elevation.
Projection	The coordinate projection applied to the dataset.
Horizontal Units	Units for X and Y coordinates (e.g., meters or feet).
Vertical Units	Units for Z coordinates (e.g., meters or feet).

Note: The system assumes that all vertex coordinates in the mesh are already aligned with the project’s coordinate space. For this reason, it does not require separate transformation or alignment settings during upload.

 

 

Uploading Files

• Click “Choose File” to select your .FBX or .OBJ mesh file.
• You may also upload a ZIP archive containing the mesh and any associated assets (e.g., textures).

Indexed Mesh (Processed)

An Indexed Mesh is a processed version of a raw Mesh entity that has been spatially indexed according to the project’s coordinate system. This allows the mesh to be efficiently visualized and combined with other spatial datasets within VoxelSpace.

Creating an Indexed Mesh

1. In your project’s Catalog, click “Add Object.”
2. Select “Indexed Mesh” from the dropdown menu.

    3. Complete the following fields:

Field	Description
Item Name	A readable name for the new Indexed Mesh entity.
Source Mesh	Choose a raw Mesh entity from the list. This is the base mesh that will be indexed.
Translate X/Y/Z	Enter values to move (translate) the mesh along the X, Y, or Z axis.
Scale X/Y/Z	Apply scaling factors to each axis. A value of 1.0 maintains the original scale.
Rotate X/Y/Z	Specify Euler rotation angles (in degrees) around each axis.
Rotation Order	Define the sequence in which the Euler rotations are applied (e.g., XYZ, ZYX).

Finalizing the Process

Once all parameters are set:

• Click “Create” to start the indexing operation.
• The system will process the mesh and generate a spatially indexed version. You can monitor the status in the project’s “Pending” section.

Viewing the Indexed Mesh

After processing is complete:

• Click the “View” button next to the Indexed Mesh entry in your project’s catalog to open it.
• Alternatively, create a View entity and assign the Indexed Mesh as its source dataset to incorporate it into a broader visualization.

Indexed Point Cloud (Processed)

An Indexed Point Cloud is a spatially-processed version of a raw Point Cloud entity. By applying the project’s spatial index, this format enables fast visualization, filtering, and integration with other spatial datasets in VoxelSpace.

Creating an Indexed Point Cloud

1. Navigate to the Catalog section of your project.
2. Click the “Add Object” button and select “Indexed Points” from the dropdown menu.

     3. Complete the required fields:

Field	Description
Item Name	A clear, descriptive name for the new Indexed Point Cloud entity.
Source Mesh	Select a raw Point Cloud from the list. This will serve as the input for the indexing process.

Indexing the Point Cloud

• After selecting your source and providing a name, click “Create” to initiate the indexing process.
• You can monitor the progress in the project’s “Pending” section.

Viewing the Indexed Point Cloud

Once processing is complete:

• Use the “View” button next to the Indexed Point Cloud in the Catalog to open and explore it.
• Alternatively, you can create a View entity and designate the Indexed Point Cloud as its data source for broader analysis and visualization.

Voxel Point Cloud (Processed)

A Voxel Point Cloud entity transforms a collection of spherical point cloud captures—often from mobile or static LiDAR devices—into a unified, volumetric voxel model. This format is ideal for analyzing spatial density and structure within 3D environments.

Transform spherical point cloud captures into a single volumetric voxel model, useful for dense interior or tunnel scans.
→ Enables volume-based analysis and structure identification.

Creating a Voxel Point Cloud

1. In your project’s Catalog, click the “Add Object” button and select “Voxelized Points” from the dropdown menu.

     2. Fill in the following metadata:

Field	Description
Item Name	A clear, descriptive name for the new entity.
Capture Device	(Optional) A label identifying the capture device (e.g., “Riegl VZ-400i”, “Mobile LiDAR”).
Capture Date	(Optional) The original date of data collection.
Horizontal Datum	The horizontal reference system used in the point cloud data.
Vertical Datum	The vertical reference system for elevation values.
Projection	The spatial projection used for the dataset.
Horizontal Units	Units for horizontal coordinates (e.g., meters, feet).
Vertical Units	Units for vertical coordinates.
Translate X/Y/Z	Adjusts the position of the model along each axis.
Scale X/Y/Z	Rescales the model; a value of 1.0 retains the original size.
Rotate X/Y/Z	Applies rotation (in degrees) around each axis using Euler angles.
Rotation Order	Defines the sequence in which rotations are applied (e.g., XYZ, ZYX).

Uploading the Data

• Click “Choose Files” to upload your point cloud data.
• Each file must be a comma-separated list of XYZ values, where:
• The first entry in the file represents the location of the scanning device
• All subsequent entries are points captured from that location

You may select and upload multiple files in a single batch.

Finalizing the Upload

Click “Create” to start the voxelization and upload process.
You can monitor progress in the “Pending” section of the project interface.

Once complete, the voxel model will be available for viewing and integration within your project.

Voxel Terrain (Processed)

A Voxel Terrain entity represents a fully volumetric terrain surface. Unlike mesh-based terrain, this format captures both surface continuity and sub-surface volume, making it ideal for detailed rendering and volumetric analysis—such as detecting changes in terrain over time.

Voxel Terrain entities can be generated from point clouds and heightmaps, and they may also include associated Ortho-Imagery, whether supplied by the user or auto-generated during import.

Generate continuous voxel-based terrain models from point clouds or heightmaps. Supports integration with ortho-imagery and computed normals.
→ Ideal for topographic visualization and volume change detection.

Creating a Voxel Terrain

1. Navigate to your project’s Catalog section.
2. Click “Add Object” and select “Voxel Terrain” from the menu.

    3. Fill in the configuration fields:

Field	Description
Item Name	A descriptive name for the new terrain entity.
Source	Select one or more Point Cloud or Heightmap entities to be used as the base for the terrain.
Include (Point Cloud only)	Choose which point classifications to include in the terrain model. By default, all points are used.
Ortho-Imagery	Select one or more Ortho-Imagery entities to be draped over the terrain. These can be aerial photos or computed textures.
Detail Recovery – Use Point Cloud Colors	If selected, the system will use RGB values from point clouds (if available) to generate an Ortho-Imagery set automatically.
Detail Recovery – Generate Terrain Normals	Requests the system to generate a high-frequency elevation detail set in the form of a normal map, enhancing terrain realism.

Finalizing and Viewing

• Click “Create” to start the voxelization and processing workflow.
• Progress can be monitored in the project’s “Pending” section.

Once processing is complete:

• Click “View” next to the Voxel Terrain entity in the Catalog to open it directly.
• Alternatively, create a View entity and set the Voxel Terrain as its source to include it in a broader visualization.

Voxel Block Model (Processed)

A Voxel Block Model is the spatially indexed version of a raw Block Model entity. Once voxelized, the block model can be visualized in 3D, dynamically queried, and integrated with other spatial datasets in the project—making it ideal for analysis, comparison, and reporting.

Voxelize a raw block model for real-time visualization, spatial querying, and data integration.
→ Enables advanced visual analytics and dataset fusion.

Creating a Voxel Block Model

1. Navigate to your project’s Catalog section.
2. Click the “Add Object” button and select “Voxel Block Model” from the list.

     3. Fill out the following configuration fields:

Field	Description
Item Name	A readable, descriptive name for the new voxelized block model.
Source	Select a raw Block Model entity from the list. This will be used as the input for voxelization.
Translate X / Y / Z	Move the model along each axis by the specified value.
Scale X / Y / Z	Scale the model along each axis. A value of 1.0 maintains the original size.
Rotate X / Y / Z	Apply Euler rotation angles (in degrees) around the X, Y, and Z axes.
Rotation Order	Specify the sequence in which rotations are applied (e.g., XYZ, ZYX).

Finalizing the Process

• Once all parameters are configured, click “Create” to begin the voxelization process.
• You can monitor progress in the “Pending” section of the project dashboard.

Viewing the Voxel Block Model

After processing is complete:

• Click the “View” button next to the entity in the Catalog to explore it in 3D.
• Alternatively, create a View entity and assign the voxelized block model as its source dataset for integration with other spatial layers.

Program

A Program entity stores custom Python code within a project. These scripts allow you to automate tasks, generate volumetric data, perform spatial analysis, or control visual representations of datasets.

Add custom Python scripts that serve as generators, report engines, or view composers.
→ Supports automation, data extraction, and interactive visual logic.

Types of Program Entities

There are three supported program types in VoxelSpace:

• Voxel Generator
  Used to create custom volumetric objects through procedural generation. These scripts can be applied in Voxel Generator entities.

For more details, refer to the Voxel Generator Programs section.

• Report
  Executes code over a defined spatial region to collect, analyze, and summarize spatial data. Ideal for inspections, calculations, and data extraction.

See the Report Programs section for more information.

• View
  Controls how multiple datasets are rendered on screen. This allows for custom visual compositions or dynamic visual layers.

Learn more in the View Programs section.

Creating a Program Entity

1. Go to your project’s Catalog section.
2. Click “Add Object” and select “Program” from the list.
3. Enter the following information:

Field	Description
Program Name	A readable, descriptive name for the program.
Type	Select the program type: Voxel Generator, Report, or View.
Code	Paste or write your custom Python code for the selected purpose.

Once saved, your Program entity will be available for use in corresponding entity types depending on its category.

View

A View entity stores a pre-configured visualization composed of one or more spatial datasets. Views allow team members to quickly share meaningful scenes, insights, and spatial analyses across a project.

Why Use Views?

• Share complex spatial insights in an intuitive format
• Combine multiple datasets into a single visual context
• Enable consistent visualizations across teams
• Quickly iterate and refine scenes before saving or sharing

To learn how to create a new View, please refer to the Creating a View section.

Report

A Report entity stores the output generated by running a custom report program across one or more spatial datasets within a defined region of a project.

Key Uses for Reports:

• Volume change calculations
• Material distribution summaries
• Geospatial audits and compliance checks
• Custom analytics over selected project regions

Each report is created by executing a Python-based report program against a specified region and source dataset(s).

To learn how to create a new Report, please refer to the Creating a Report section.

Data Export

The VoxelSpace platform provides a user-friendly way to export spatial data in standard formats for use outside the system. The Export entity is used to define and execute an export job, and it also stores the results for later download.

Creating a Data Export

1. In your project’s Catalog, click “Add Object” and select “Voxel Generator.” (This is the current interface label for launching export jobs.)

     3. Complete the configuration fields:

Field	Description
File Name	A readable name for the export job. This will also be used as the exported file name when downloaded.
Region	Select the region of interest from the list of available project regions. This defines the spatial area for the export. > Refer to the Working with Regions section to learn how to define regions.
Type	Choose the data format for export: <ul><li>Mesh – Exports surface data as an .OBJ file</li><li>Points – Exports point cloud data as a .CSV file</li><li>Raster – Exports ortho-imagery as .TIFF with accompanying .TFW (world file)</li></ul>
Resolution	Choose the resolution level for the export. You may export at full (1:1) density or select a lower resolution depending on your use case.
Source	Select the dataset to be exported. This option is context-sensitive and will show compatible sources based on the selected export type.

 

 

Running and Downloading the Export

• Click “Create” to initiate the export process.
• You can monitor the export status in the project’s “Pending” section.
• Once processing is complete, go to the Project Catalog and click the “Download” button next to the Export entity to retrieve your data.

Working with Views

Introduction

Views in VoxelSpace are pre-configured visual compositions of multiple spatial datasets. They provide a fast, effective way for teams to explore, analyze, and share complex geospatial information.

A View can function as a carefully curated scene, set up by one team member for others to review and interact with. Alternatively, Views can be used as temporary workspaces—perfect for quick experimentation by combining different datasets on the fly.

Accessing Views in a Project

Each project contains a list of Views that are accessible via the “Views” tab in the Project Page.

From this section, users can:

• Click on a View card to open an existing View
• Click the “Add View” button to create a new one

(See the Creating a View section for detailed instructions.)

When a View is opened, it loads in VoxelSpace’s native OpenGL viewer, allowing full 3D interaction with the visualized data.

Viewer Controls

Use the following mouse controls to interact with the 3D scene:

Control	Action
Left Mouse Button	Rotate the camera around the focus point
Right Mouse Button	Pan the camera across the horizontal plane
Mouse Wheel	Zoom in and out

Creating a View

The WebUI provides two different ways to start the creation of a View:

1. Create a View from the "Add Object" button in the Catalog section

1. Create a View from the View Section by clicking on "Create View":

It will show this dialog to add the view information (name, description, project)

Both approaches have the same results, the only difference is in the first case the user is aware from the start of which Folder will contain the View object, as the object is explicitly added to a Folder. When using the second approach, it is also possible to define which Folder will contain the View entity from the View definition UI.

Using on any of the approaches above will show the View creation UI:

At this point the View is created, but not saved into the Project. Other team members will not see it until you press the "Save" button. At the top-right corner of the UI, a button with a gear icon displays the View configuration options.

Typically, you will add one or more visual layers to the View before saving it. The Adding Layers to a View section covers how to add layers of data to a View.

Once the view displays some content, you can provide a meaningful name to it and capture its thumbnail from the "General" section found in the View configuration panel:

It is possible to save your changes to the view by clicking any of the "Save" buttons in the View configuration panel. One is found in the "General" section and the second is in the "Layers" section.

Adding Layers to a View

In VoxelSpace, a View can contain one or more visual layers, each representing a different dataset or spatial element. Layers are essential for building rich, multi-dimensional visualizations that combine terrain, point clouds, block models, and more.

How to Add a Layer

1. While in the View interface, click the Layer icon   to open the View Configuration Panel.

2. In the panel, select the “Layers” tab.

3. Click the “Add Layer…” button to begin adding data to the View.

What Happens Next?

After clicking “Add Layer…”, you’ll be prompted to:

• Select a dataset from the project’s catalog
• Configure how it’s rendered, including visibility, transparency, color maps, or display filters—depending on the dataset type

Each dataset you add enhances the View, allowing for layered analysis and deeper spatial understanding.

Working with Cross-sections

The View interface in VoxelSpace allows users to perform real-time cross-section operations across spatial datasets. This tool is ideal for analyzing subsurface structures, internal geometries, or layered data distributions.

Accessing Cross-Section Tools

1. While viewing a dataset, open the Viewer Tools panel.
2. Click on the “Cross-section” option to activate the cross-section controls.

Selecting Cross-Section Types

Once the tool is enabled, you can choose from various cross-section types to define how the cut will interact with the 3D scene. These options typically include:

• Single plane – Cuts through the model along one axis
• Box clip – Isolates a defined volume within a bounding box
• Axis-aligned slices – Slices perpendicular to X, Y, or Z for sectional analysis
• (Insert specific options from UI if applicable)

Cross-sections can be adjusted in real time—move, rotate, or scale the clipping planes to refine your view and focus on specific features of interest.

Working with Reports

Introduction

The Voxel Farm platform features a spatial reporting system. This system allows to run a custom program, a report, across a large scope of space. As the program goes over space, it can analyze different layers of spatial data and perform useful computations or discoveries with the data.

Even if the report code is deceptively simple and serial, the platform is able to execute reports in a massively parallel fashion. This is achieved by running many instances of the same report program in parallel, each one looking at a different region of space. The platform integrates the results produced by the swarm of reporting nodes into a single, coherent result set.

This section covers how to run existing Report programs. To see how to create new Report programs, please visit the Report Program section of the Developer manual.

Viewing Reports

The WebUI keeps track of all Report entities in the Project's Catalog and provides a dedicated section in the UI to access them. To access the reports, select the "Reports" section in the WebUI:

The reports are organized using the same hiearchy of Folders in the Project.

To view a Report, click on its name on the Tree View. The Report results will show as a table in the right panel.

Use the "Download CSV" link to download a CVS file with the results of the Report.

Creating a Report

To create a new Report entity, go to the Project Catalog, browse to the Folder that you want to contain the Report, and click on the "Add" button.

This will display a list of Entities to add. Chose "Report" from the list:

This will display a modal dialog prompting for information about the report:

Click on the "Create" button to start the Report. While it is computed, the Report will appear list in the "Pending" section of the Project.

Once the report completes, it will become accessible for viewing and downloading.