Deck.gl 3D Hexagon Aggregation
The iconic Deck.gl visualization — thousands of raw point events binned into hexagonal cells whose extruded height encodes the count in that bin and whose colour encodes the same dimension on a perceptual ramp. The HexagonLayer aggregates on the GPU on every frame, so rotating, t
Template details
- map
- hexagon
- aggregation
- 3d
- gpu
- webgl
- deck.gl
- deckgl
When to use this template
This visualization makes obvious the spatial concentrations and variations in event density across a geographic area. An analyst would reach for it to quickly identify hot-spots, cold-spots, and gradient changes in large volumes of point data, leveraging a 3D perspective for intuitive depth perception of density. It helps understand where activity is concentrated and how intensely.
- Geospatial point data with latitude and longitude coordinates.
- High volume of discrete events (thousands to millions of points).
- Data where density or count is the primary dimension of interest.
- Analysis requiring aggregation of points into spatial bins.
- Situations where 3D perspective enhances perception of magnitude differences.
- Data where relative spatial distribution, not precise individual locations, is key.