supercluster  

> This repository is a fork of mapbox/supercluster, but for CGCS2000 projection.

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

``html

`

`js
const index = new Supercluster({
radius: 40,
maxZoom: 16
});
index.load(points);
index.getClusters([-180, -85, 180, 85], 2);
`

Clustering 6 million points in Leaflet:

!clusters2

Install

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

`js
// import as a ES module
import Supercluster from 'supercluster';

// or require in Node / Browserify
const Supercluster = require('supercluster');
`

Or use a browser build directly:

`html

`

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

| Option | Default | Description |
|------------|---------|-------------------------------------------------------------------|
| minZoom | 0 | Minimum zoom level at which clusters are generated. |
| maxZoom | 16 | Maximum zoom level at which clusters are generated. |
| minPoints | 2 | Minimum number of points to form a cluster. |
| radius | 40 | Cluster radius, in pixels. |
| extent | 512 | (Tiles) Tile extent. Radius is calculated relative to this value. |
| nodeSize | 64 | Size of the KD-tree leaf node. Affects performance. |
| log | false | Whether timing info should be logged. |
| generateId | false | Whether to generate ids for input features in vector tiles. |

$3

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

- map: a function that returns cluster properties corresponding to a single point.
- reduce: a reduce function that merges properties of two clusters into one.

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

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

Note that reduce must not mutate the second argument (props).

Developing Supercluster

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