Home

Awesome

supercluster Simply Awesome Node

A very fast JavaScript library for geospatial point clustering for browsers and Node.

const index = new Supercluster({radius: 40, maxZoom: 16});
index.load(points);

const clusters = index.getClusters([-180, -85, 180, 85], 2);

Clustering 6 million points in Leaflet:

clustering demo on an interactive Leaflet map

Supercluster was built to power clustering in Mapbox GL JS. Read about how it works on the Mapbox blog.

Install

Install using NPM (npm install supercluster) or Yarn (yarn add supercluster), then:

// import as a ES module in Node
import Supercluster from 'supercluster';

// import from a CDN in the browser:
import Supercluster from 'https://esm.run/supercluster';

Or use it with an ordinary script tag in the browser:

<script src="https://unpkg.com/supercluster@8.0.0/dist/supercluster.min.js"></script>

Methods

load(points)

Loads an array of GeoJSON Feature objects. Each feature's geometry must be a GeoJSON Point. Once loaded, index is immutable.

getClusters(bbox, zoom)

For the given bbox array ([westLng, southLat, eastLng, northLat]) and integer zoom, returns an array of clusters and points as GeoJSON Feature objects.

getTile(z, x, y)

For a given zoom and x/y coordinates, returns a geojson-vt-compatible JSON tile object with cluster/point features.

getChildren(clusterId)

Returns the children of a cluster (on the next zoom level) given its id (cluster_id value from feature properties).

getLeaves(clusterId, limit = 10, offset = 0)

Returns all the points of a cluster (given its cluster_id), with pagination support: limit is the number of points to return (set to Infinity for all points), and offset is the amount of points to skip (for pagination).

getClusterExpansionZoom(clusterId)

Returns the zoom on which the cluster expands into several children (useful for "click to zoom" feature) given the cluster's cluster_id.

Options

OptionDefaultDescription
minZoom0Minimum zoom level at which clusters are generated.
maxZoom16Maximum zoom level at which clusters are generated.
minPoints2Minimum number of points to form a cluster.
radius40Cluster radius, in pixels.
extent512(Tiles) Tile extent. Radius is calculated relative to this value.
nodeSize64Size of the KD-tree leaf node. Affects performance.
logfalseWhether timing info should be logged.
generateIdfalseWhether to generate ids for input features in vector tiles.

Property map/reduce options

In addition to the options above, Supercluster supports property aggregation with the following two options:

Example of setting up a sum cluster property that accumulates the sum of myValue property values:

const index = new Supercluster({
    map: (props) => ({sum: props.myValue}),
    reduce: (accumulated, props) => { accumulated.sum += props.sum; }
});

The map/reduce options must satisfy these conditions to work correctly:

TypeScript

Install @types/supercluster for the TypeScript type definitions:

npm install @types/supercluster --save-dev 

Developing Supercluster

npm install       # install dependencies
npm run build     # generate dist/supercluster.js and dist/supercluster.min.js
npm test          # run tests