VoxelSpace Quickstart Guide

VoxelSpace is a volumetric spatial platform that transforms massive terrain, infrastructure, and sensor datasetsinto living 4D environments. Traditional models capture only surfaces—lines, elevations, or textures. Volumetricmodeling uses
voxels-3D pixels that store data about each cubic volume. This unlocks new capabilities forsimulation, change detection, infrastructure planning, and geoscience because the entire volume becomes thedataset.
VoxelSpace centralizes data in a cloud-hosted repository and offers real-time voxel-level modeling and massive-scale processing using serverless spatial functions called
spatial lambdas.

Prerequisites

Before getting started, ensure you have:

1. Sign Up & Set Up Your First Project

Follow these steps to create your first project:

1. Navigate to platform.voxelspace.com and log in with your Microsoft, Google identity or your work email.
2. On the catalog page, click New Project
3. Provide a project name and description
4. Select your time zone
5. Accept the default coordinate datums and projections:

6. Set a voxel resolution or leave the default setting
7. Submit the form

Your new project will appear in the project list.

2. Prepare and Upload Your Data

Inside your project, click Add Object → Raw Data and choose the type of dataset you want to import:

Point Cloud

 Mesh

 Block Model

 Ortho-Imagery

 After choosing the file and completing required fields, click Create. A new row appears in the project list showingthe object type, creation time, size, and status icon. Note that raw objects cannot be visualized until they areprocessed.

3. Process Data into Indexed Datasets

To make data queryable and visualizable, convert raw objects into indexed datasets or voxel grids:

Indexed Points

Converts a raw point cloud into a queryable point-cloud dataset. Select your source point cloud and click Create.

 Indexed Mesh

Similar to Indexed Points but for meshes. Select the raw mesh as source and create an indexed mesh.

Indexed Imagery

Processes ortho-imagery into an indexed raster dataset. Important: Only one processing job can run at a time onthe free tier, so subsequent jobs remain queued until the current task finishes.

Voxel Block Model

Converts block-model tables into voxel grids. You can specify:

 Launch this process only when no other job is queued.

Additional Processing Options

 Each option is tailored to specific data types. Processing tasks appear on the Pending Tasks page. In the free tier,only one task can run concurrently, so plan your workflow accordingly.

4. Visualize Your Data

Once you have indexed datasets, explore them in the interactive 3D viewer:

Creating a View

  1. Select New View from the project or choose View from an indexed object
  2. Enter a name and description for your view

Working with the View Editor

  1. Click Add Objects and select your indexed datasets
  2. Datasets appear in the left panel with icons for:Visibility (colored dot)

 Navigation and Controls

 Customizing Appearance

 Toolbar Features

5. Explore Advanced Features

VoxelSpace offers powerful capabilities beyond basic visualization:

Spatial Calculations

Run serverless spatial lambdas to:

  1. Compute volumes across datasets
  2. Filter data based on specific criteria
  3. Derive metrics across trillions of voxels

 Temporal Tracking

Add time as a dimension to your datasets to observe changes over time, including:

 Multi-Source Data Fusion

Seamlessly integrate multiple data types into a single voxel grid:

 This unified approach enables comprehensive analysis across diverse data types.

Collaboration and Integration

 Conclusion & Next Steps

This quickstart guide has walked you through the core VoxelSpace workflow:

Volumetric modeling with voxels captures the full volume of space, enabling insights that traditional surfacemodels cannot provide.

 For more advanced tutorials and documentation, visit the VoxelSpace knowledge base or contact support throughthe platform.