Free · Group nearby points

GeoJSON Point Cluster Analyzer

Group a point collection with K-means or DBSCAN and add a cluster number to every point.

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GeoJSON download

Work with map data

Use the example or add your own GeoJSON. Results stay in this browser tab.

Point collection

{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "properties": {
        "id": 1,
        "name": "Etobicoke"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.49,
          43.66
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "id": 2,
        "name": "Eglinton West"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.44,
          43.7
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "id": 3,
        "name": "Downtown"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.39,
          43.65
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "id": 4,
        "name": "Leaside"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.35,
          43.71
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "id": 5,
        "name": "Leslieville"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.31,
          43.67
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "id": 6,
        "name": "Scarborough"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.26,
          43.73
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "id": 7,
        "name": "Sunnyside"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.42,
          43.61
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "id": 8,
        "name": "Port Lands"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -79.33,
          43.62
        ]
      }
    }
  ]
}

Distance unitMethodCluster count

Result view

Map previewGeoJSON

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EngineTurf.js

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FormatGeoJSON

Three simple steps

How to use it

Paste a GeoJSON point collection.
Choose K-means groups or DBSCAN distance groups.
Check the map, then copy or download the GeoJSON result.

Your map data stays on this device

Turf.js reads and changes the GeoJSON inside this browser tab. Bookify does not upload or save it. Close the tab and the working copy is gone.