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 Tracking
Add time as a dimension to your datasets to observe changes over time, including:
- Erosion monitoring
- Construction progress tracking
- Fluid movement analysis
Multi-Source Data Fusion
Seamlessly integrate multiple data types into a single voxel grid:
- LiDAR point clouds
- Drill hole data
- Seismic datasets
- IoT sensor data
- CAD files
This unified approach enables comprehensive analysis across diverse data types.
Collaboration and Integration
- Project sharing: Collaborate with team members
- Unity export: Export projects for game engines
- API integration: Integrate the platform into existing workflows
Conclusion & Next Steps
This quickstart guide has walked you through the core VoxelSpace workflow:
- Project creation and initial setup
- Data upload for various formats
- Processing raw data into indexed datasets
- Visualization in the interactive 3D viewer
Volumetric modeling with voxels captures the full volume of space, enabling insights that traditional surfacemodels cannot provide.
Recommended Next Steps
- Explore additional processing types for your specific data
- Experiment with spatial lambdas for advanced analysis
- Consider upgrading your plan to access:
- Increased storage capacity
- Additional compute hours
- Concurrent job processing
For more advanced tutorials and documentation, visit the VoxelSpace knowledge base or contact support throughthe platform.