Voronoi diagrams partition a plane into regions based on distance to a set of seed points. Each region (Voronoi cell) contains all points in the plane that are closer to its associated seed than to any other seed. They are used in computational geometry, spatial analysis, service area modeling, interpolation (Thiessen polygons), and as an interactive tooltip hit-target mechanism in scatter plots.

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x	y	value
1.2	2.4	42
3.8	1.1	78
2.5	4.2	55
5.1	3.5	91
0.8	5.6	33
4.4	5.8	67
2	0.8	88
6.2	1.9	44
5.8	5	72
3.2	2.8	61

{
  "data": [
    {
      "x": 1.2,
      "y": 2.4,
      "value": 42,
      "label": "Site A"
    },
    {
      "x": 3.8,
      "y": 1.1,
      "value": 78,
      "label": "Site B"
    },
    {
      "x": 2.5,
      "y": 4.2,
      "value": 55,
      "label": "Site C"
    },
    {
      "x": 5.1,
      "y": 3.5,
      "value": 91,
      "label": "Site D"
    },
    {
      "x": 0.8,
      "y": 5.6,
      "value": 33,
      "label": "Site E"
    },
    {
      "x": 4.4,
      "y": 5.8,
      "value": 67,
      "label": "Site F"
    },
    {
      "x": 2,
      "y": 0.8,
      "value": 88,
      "label": "Site G"
    },
    {
      "x": 6.2,
      "y": 1.9,
      "value": 44,
      "label": "Site H"
    },
    {
      "x": 5.8,
      "y": 5,
      "value": 72,
      "label": "Site I"
    },
    {
      "x": 3.2,
      "y": 2.8,
      "value": 61,
      "label": "Site J"
    }
  ],
  "series": [
    {
      "type": "voronoi",
      "xKey": "x",
      "yKey": "y",
      "valueKey": "value"
    }
  ],
  "title": {
    "text": "Voronoi Spatial Partition"
  }
}

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A Voronoi diagram partitions a plane into regions based on proximity to seed points. Each region contains all points closer to its seed than to any other seed, creating a natural spatial tessellation.

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