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Each feature's `geometry` must be a [GeoJSON Point](https://tools.ietf.org/html/rfc7946#section-3.1.2). Once loaded, index is immutable.\n\n#### `getClusters(bbox, zoom)`\n\nFor the given `bbox` array (`[westLng, southLat, eastLng, northLat]`) and integer `zoom`, returns an array of clusters and points as [GeoJSON Feature](https://tools.ietf.org/html/rfc7946#section-3.2) objects.\n\n#### `getTile(z, x, y)`\n\nFor a given zoom and x/y coordinates, returns a [geojson-vt](https://github.com/mapbox/geojson-vt)-compatible JSON tile object with cluster/point features.\n\n#### `getChildren(clusterId)`\n\nReturns the children of a cluster (on the next zoom level) given its id (`cluster_id` value from feature properties).\n\n#### `getLeaves(clusterId, limit = 10, offset = 0)`\n\nReturns all the points of a cluster (given its `cluster_id`), with pagination support:\n`limit` is the number of points to return (set to `Infinity` for all points),\nand `offset` is the amount of points to skip (for pagination).\n\n#### `getClusterExpansionZoom(clusterId)`\n\nReturns the zoom on which the cluster expands into several children (useful for \"click to zoom\" feature) given the cluster's `cluster_id`.\n\n## Options\n\n| Option | Default | Description |\n|------------|---------|-------------------------------------------------------------------|\n| minZoom | 0 | Minimum zoom level at which clusters are generated. |\n| maxZoom | 16 | Maximum zoom level at which clusters are generated. |\n| minPoints | 2 | Minimum number of points to form a cluster. |\n| radius | 40 | Cluster radius, in pixels. |\n| extent | 512 | (Tiles) Tile extent. Radius is calculated relative to this value. |\n| nodeSize | 64 | Size of the KD-tree leaf node. Affects performance. |\n| log | false | Whether timing info should be logged. |\n| generateId | false | Whether to generate ids for input features in vector tiles. |\n\n### Property map/reduce options\n\nIn addition to the options above, supercluster supports property aggregation with the following two options:\n\n- `map`: a function that returns cluster properties corresponding to a single point.\n- `reduce`: a reduce function that merges properties of two clusters into one.\n\nExample of setting up a `sum` cluster property that accumulates the sum of `myValue` property values:\n\n```js\nconst index = new Supercluster({\n map: (props) => ({sum: props.myValue}),\n reduce: (accumulated, props) => { accumulated.sum += props.sum; }\n});\n```\n\nNote that `reduce` must not mutate the second argument (`props`).\n\n## Developing Supercluster\n\n```\nnpm install # install dependencies\nnpm run build # generate dist/supercluster.js and dist/supercluster.min.js\nnpm test # run tests\n```","users":{}}