Voronoi Diagram
A Voronoi diagram partitions a plane into cells around a set of seed points, where every pixel inside a cell is closer to that cell's seed than to any other. It reveals zones of influence and natural neighborhoods that emerge purely from spatial position. Useful for retail-store
Template details
- chart
- voronoi
- tessellation
- spatial
- d3
When to use this template
This visualization helps identify and understand regions of influence or dominance around a set of discrete points. Analysts use it to partition a space based on proximity, revealing natural neighborhoods or service territories where every location within a region is closest to its designated point. It is ideal for analyzing spatial competition, coverage, or accessibility from specific locations.
- Datasets with distinct 2D spatial coordinates (latitude/longitude).
- When analyzing proximity-based influence or service zones.
- Data where each point requires a unique, non-overlapping territory.
- Visualizing competition or coverage from multiple fixed locations.
- When identifying spatial gaps or overlaps in point distribution.
- Datasets where interactive hover regions for points are beneficial.