112 lines
3.1 KiB
JavaScript
112 lines
3.1 KiB
JavaScript
import Feature from '../src/ol/Feature.js';
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import Map from '../src/ol/Map.js';
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import Point from '../src/ol/geom/Point.js';
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import View from '../src/ol/View.js';
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import {
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Circle as CircleStyle,
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Fill,
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Stroke,
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Style,
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Text,
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} from '../src/ol/style.js';
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import {Cluster, OSM, Vector as VectorSource} from '../src/ol/source.js';
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import {Tile as TileLayer, Vector as VectorLayer} from '../src/ol/layer.js';
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import {boundingExtent} from '../src/ol/extent.js';
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const distanceInput = document.getElementById('distance');
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const distanceNode = document.getElementById('distance-info');
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const minDistanceInput = document.getElementById('min-distance');
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const minDistanceNode = document.getElementById('min-distance-info');
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const numClustersNode = document.getElementById('num-clusters');
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const count = 20000;
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const features = new Array(count);
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const e = 4500000;
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for (let i = 0; i < count; ++i) {
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const coordinates = [2 * e * Math.random() - e, 2 * e * Math.random() - e];
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features[i] = new Feature(new Point(coordinates));
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}
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const source = new VectorSource({
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features: features,
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});
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const clusterSource = new Cluster({
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distance: parseInt(distanceInput.value, 10),
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minDistance: parseInt(minDistanceInput.value, 10),
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source: source,
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});
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clusterSource.on('change', function (evt) {
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numClustersNode.innerText = evt.target.features.length;
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});
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distanceNode.innerText = clusterSource.getDistance();
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minDistanceNode.innerText = clusterSource.getMinDistance();
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const styleCache = {};
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const clusters = new VectorLayer({
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source: clusterSource,
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style: function (feature) {
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const size = feature.get('features').length;
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let style = styleCache[size];
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if (!style) {
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style = new Style({
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image: new CircleStyle({
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radius: 10,
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stroke: new Stroke({
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color: '#fff',
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}),
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fill: new Fill({
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color: '#3399CC',
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}),
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}),
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text: new Text({
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text: size.toString(),
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fill: new Fill({
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color: '#fff',
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}),
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}),
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});
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styleCache[size] = style;
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}
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return style;
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},
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});
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const raster = new TileLayer({
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source: new OSM(),
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});
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const map = new Map({
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layers: [raster, clusters],
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target: 'map',
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view: new View({
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center: [0, 0],
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zoom: 2,
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}),
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});
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distanceInput.addEventListener('input', function () {
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distanceNode.innerText = distanceInput.value;
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clusterSource.setDistance(parseInt(distanceInput.value, 10));
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});
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minDistanceInput.addEventListener('input', function () {
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minDistanceNode.innerText = minDistanceInput.value;
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clusterSource.setMinDistance(parseInt(minDistanceInput.value, 10));
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});
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map.on('click', (e) => {
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clusters.getFeatures(e.pixel).then((clickedFeatures) => {
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if (clickedFeatures.length) {
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// Get clustered Coordinates
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const features = clickedFeatures[0].get('features');
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if (features.length > 1) {
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const extent = boundingExtent(
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features.map((r) => r.getGeometry().getCoordinates())
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);
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map.getView().fit(extent, {duration: 1000, padding: [50, 50, 50, 50]});
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}
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}
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});
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});
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