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feat(cluster.html): add example HTML file to demonstrate clustering with MapLibre GL JS for visualizing earthquake data
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Zsolt Ero
149
website/src/examples/cluster.html
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149
website/src/examples/cluster.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<title>Create and style clusters</title>
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<meta property="og:description" content="Use MapLibre GL JS' built-in functions to visualize points as clusters." />
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<meta charset='utf-8'>
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel='stylesheet' href='https://unpkg.com/maplibre-gl@4/dist/maplibre-gl.css' />
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<script src='https://unpkg.com/maplibre-gl@4/dist/maplibre-gl.js'></script>
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<style>
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body { margin: 0; padding: 0; }
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html, body, #map { height: 100%; }
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</style>
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</head>
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<body>
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<div id="map"></div>
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<script>
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const map = new maplibregl.Map({
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container: 'map',
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style: 'https://tiles.openfreemap.org/styles/positron',
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center: [-103.59179687498357, 40.66995747013945],
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zoom: 3
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});
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map.on('load', () => {
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// Add a new source from our GeoJSON data and
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// set the 'cluster' option to true. GL-JS will
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// add the point_count property to your source data.
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map.addSource('earthquakes', {
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type: 'geojson',
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// Point to GeoJSON data. This example visualizes all M1.0+ earthquakes
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// from 12/22/15 to 1/21/16 as logged by USGS' Earthquake hazards program.
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data: 'https://maplibre.org/maplibre-gl-js/docs/assets/earthquakes.geojson',
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cluster: true,
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clusterMaxZoom: 14, // Max zoom to cluster points on
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clusterRadius: 50 // Radius of each cluster when clustering points (defaults to 50)
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});
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map.addLayer({
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id: 'clusters',
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type: 'circle',
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source: 'earthquakes',
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filter: ['has', 'point_count'],
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paint: {
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// Use step expressions (https://maplibre.org/maplibre-style-spec/#expressions-step)
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// with three steps to implement three types of circles:
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// * Blue, 20px circles when point count is less than 100
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// * Yellow, 30px circles when point count is between 100 and 750
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// * Pink, 40px circles when point count is greater than or equal to 750
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'circle-color': [
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'step',
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['get', 'point_count'],
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'#51bbd6',
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100,
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'#f1f075',
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750,
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'#f28cb1'
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],
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'circle-radius': [
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'step',
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['get', 'point_count'],
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20,
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100,
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30,
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750,
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40
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]
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}
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});
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map.addLayer({
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id: 'cluster-count',
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type: 'symbol',
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source: 'earthquakes',
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filter: ['has', 'point_count'],
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layout: {
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'text-field': '{point_count_abbreviated}',
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'text-font': ['Noto Sans Regular'],
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'text-size': 12
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}
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});
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map.addLayer({
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id: 'unclustered-point',
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type: 'circle',
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source: 'earthquakes',
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filter: ['!', ['has', 'point_count']],
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paint: {
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'circle-color': '#11b4da',
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'circle-radius': 4,
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'circle-stroke-width': 1,
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'circle-stroke-color': '#fff'
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}
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});
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// inspect a cluster on click
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map.on('click', 'clusters', async (e) => {
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const features = map.queryRenderedFeatures(e.point, {
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layers: ['clusters']
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});
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const clusterId = features[0].properties.cluster_id;
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const zoom = await map.getSource('earthquakes').getClusterExpansionZoom(clusterId);
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map.easeTo({
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center: features[0].geometry.coordinates,
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zoom
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});
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});
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// When a click event occurs on a feature in
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// the unclustered-point layer, open a popup at
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// the location of the feature, with
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// description HTML from its properties.
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map.on('click', 'unclustered-point', (e) => {
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const coordinates = e.features[0].geometry.coordinates.slice();
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const mag = e.features[0].properties.mag;
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let tsunami;
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if (e.features[0].properties.tsunami === 1) {
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tsunami = 'yes';
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} else {
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tsunami = 'no';
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}
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// Ensure that if the map is zoomed out such that
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// multiple copies of the feature are visible, the
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// popup appears over the copy being pointed to.
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while (Math.abs(e.lngLat.lng - coordinates[0]) > 180) {
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coordinates[0] += e.lngLat.lng > coordinates[0] ? 360 : -360;
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}
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new maplibregl.Popup()
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.setLngLat(coordinates)
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.setHTML(
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`magnitude: ${mag}<br>Was there a tsunami?: ${tsunami}`
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)
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.addTo(map);
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});
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map.on('mouseenter', 'clusters', () => {
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map.getCanvas().style.cursor = 'pointer';
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});
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map.on('mouseleave', 'clusters', () => {
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map.getCanvas().style.cursor = '';
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});
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});
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</script>
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</body>
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</html>
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