Advanced Search
Search Results
27 total results found
Create View
The following example shows how to create a view using the workflow interface: voxelfarm_workflow.create_view(vf, request, 'Composite Difference', None, 'lambdas/view-terrain-composite-difference.py', { 'previous_surface_id' : f'{previous_terrain_id}',...
Prerequisites
Before getting started, ensure you have: A VoxelSpace account (the free tier allows up to 5 GB of uploaded data and includes limited compute hours). Data in supported file formats as outlined in the upload wizards, including common point-cloud, mesh, bloc...
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 Project3. Provide a project name and description4. Select your time zo...
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 Upload LiDAR or photogrammetry point clouds Supported formats: .las, .laz, .txt, .xyz, or compressed .zip files Provide an object name and opt...
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 Ind...
4. Visualize Your Data
Once you have indexed datasets, explore them in the interactive 3D viewer: Creating a View Select New View from the project or choose View from an indexed object Enter a name and description for your view Working with the View Editor Click Add Objec...
5. Explore Advanced Features
VoxelSpace offers powerful capabilities beyond basic visualization: Spatial Calculations Run serverless spatial lambdas to: Compute volumes across datasets Filter data based on specific criteria Derive metrics across trillions of voxels Temporal Tra...