Deck.gl 3D Grid Aggregation
Square-cell GPU aggregation — every raw point is dropped into a fixed-size square grid cell and the cell is extruded by its count. Distinct from the hexagon version (which uses an offset hex grid), the GridLayer is the right pick when the data has natural axis-aligned structure (
Template details
- map
- grid
- aggregation
- 3d
- gpu
- webgl
- deck.gl
- deckgl
When to use this template
This visualization makes obvious the spatial density and distribution of point-based events or entities across a gridded area. It helps analysts quickly identify hot spots, cold spots, and underlying grid-aligned patterns in geographically distributed data. An analyst would reach for this to understand how phenomena are concentrated or dispersed within a fixed, rectangular spatial framework.
- Georeferenced point data with latitude and longitude coordinates.
- Large datasets where individual points are too dense to render effectively.
- Data with inherent rectangular or axis-aligned spatial structure.
- Identifying spatial clusters and density variations across an area.
- Exploring aggregate counts within fixed-size, square geographic cells.
- Datasets where the count of events per square area is a key metric.