Package Exports
- use-supercluster
- use-supercluster/dist/use-supercluster.esm.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (use-supercluster) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
useSupercluster
A hook for using Supercluster with React.
const { clusters, supercluster } = useSupercluster({
points: [],
bounds: [
-1.2411810957931664,
52.61208435908725,
-1.0083656811012531,
52.64495957533833
],
zoom: 12,
options: { radius: 75, maxZoom: 20 }
});Installation
You will need to install Supercluster as a peer dependency of this package.
yarn add supercluster use-superclusterExamples
This package contains an example along with tests, but full examples with instructions in the most popular mapping libraries for React can be found below.
Mapbox
Full instructions and an example can be found here.
Google Maps
Full instructions and an example can be found here.
Leaflet
Full instructions and an example can be found here.
Configuration
The 'options' property passed to useSupercluster supports Supercluster's options and additionally includes support for the disableRefresh option."
Map & Reduce Options
As an example, you can use map and reduce to keep track of a total value summed up from across the points. In this case we have the total cost, the max severity, plus another count (which is redundant because Supercluster gives us the point_count property).
const options = {
radius: 75,
maxZoom: 20,
map: props => ({
cost: props.cost,
severity: props.severity,
count: 1
}),
reduce: (acc, props) => {
acc.count += 1;
acc.cost += props.cost;
acc.severity = Math.max(acc.severity, props.severity);
return acc;
}
};I found map and reduce a little confusing! The value returned from map of the first point is used as the initial value passed as the accumulator to the reduce function. The only props you have available in reduce are the ones returned from map. You technically don't need to return a value from reduce (it's not used), but instead need to mutate the accumulator object.
Then these accumulated properties can be used and are available on each cluster:
<ul>
{clusters.map(point => {
const properties = point.properties || {};
if (properties.cluster) {
return (
<li key={point.id}>
<h2>Points: {properties.point_count}</h2>
<p>Cost: {properties.cost.toFixed(2)}</p>
<p>Severity: {properties.severity}</p>
<p>Count: {properties.count}</p>
</li>
);
} else {
return <li key={properties.crimeId}>{properties.category}</li>;
}
})}
</ul>disableRefresh
With the disableRefresh option, clusters returned from useSupercluster will be based on previous data despite zoom/bounds/points having changed. For example, using isFetching from useQuery, we can set disableRefresh so that Supercluster doesn't perform clustering until we've successfully fetched new data.
const Component = () => {
const { data, isFetching } = useQuery("markers", getMarkers());
const { clusters, supercluster } = useSupercluster({
/* ... normal options passed to hook ... */
disableRefresh: isFetching
});
return (
<Map>
{clusters.map(cluster => {
return <Marker />;
})}
</Map>
);
};