Deck.gl 3D Point Cloud
A LiDAR-style 3D point cloud rendered with Deck.gl's PointCloudLayer — every vertex is a [x, y, z] point with a per-point colour, and the GPU draws all of them as billboarded discs that face the camera. The OrbitView (instead of the geographic Mercator view) gives the camera a 3D
Template details
- 3d
- point-cloud
- lidar
- scatter
- webgl
- deck.gl
- deckgl
When to use this template
This visualization is ideal for exploring the spatial distribution and density of discrete points in a three-dimensional space. Analysts use it to identify clusters, voids, patterns, and anomalies that are only apparent when viewed from multiple angles in 3D, facilitating detailed inspection of complex volumetric data.
- Datasets with intrinsic 3D spatial coordinates (X, Y, Z) per record.
- Large volumes of discrete points, often millions or more.
- Data where each point may have an associated categorical or continuous color attribute.
- Exploring complex structures, densities, or relationships in a volumetric context.
- Data requiring interactive 3D rotation, panning, and zooming.
- Point data without a need for a geographic basemap context.