Merge pull request #12080 from MoonE/cluster-source-min-distance
Add a minimum distance config to the cluster source
This commit is contained in:
@@ -8,6 +8,18 @@ tags: "cluster, vector"
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---
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<div id="map" class="map"></div>
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<form>
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<label for="distance">cluster distance</label>
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<input id="distance" type="range" min="0" max="100" step="1" value="40"/>
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<div class="form-group">
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<label for="distance" class="col-form-label">Cluster distance</label>
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<input id="distance" class="form-control-range" type="range" min="0" max="200" step="1" value="40"/>
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<small class="form-text text-muted">
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The distance within which features will be clustered together.
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</small>
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</div>
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<div class="form-group">
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<label for="min-distance" class="col-form-label">Minimum distance</label>
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<input id="min-distance" class="form-control-range" type="range" min="0" max="200" step="1" value="20"/>
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<small class="form-text text-muted">
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The minimum distance between clusters. Can't be larger than the configured distance.
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</small>
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</div>
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</form>
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@@ -13,7 +13,8 @@ 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 distance = document.getElementById('distance');
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const distanceInput = document.getElementById('distance');
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const minDistanceInput = document.getElementById('min-distance');
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const count = 20000;
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const features = new Array(count);
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@@ -28,7 +29,8 @@ const source = new VectorSource({
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});
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const clusterSource = new Cluster({
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distance: parseInt(distance.value, 10),
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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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@@ -75,8 +77,12 @@ const map = new Map({
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}),
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});
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distance.addEventListener('input', function () {
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clusterSource.setDistance(parseInt(distance.value, 10));
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distanceInput.addEventListener('input', function () {
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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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clusterSource.setMinDistance(parseInt(minDistanceInput.value, 10));
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});
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map.on('click', (e) => {
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@@ -9,13 +9,24 @@ import Point from '../geom/Point.js';
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import VectorSource from './Vector.js';
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import {add as addCoordinate, scale as scaleCoordinate} from '../coordinate.js';
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import {assert} from '../asserts.js';
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import {buffer, createEmpty, createOrUpdateFromCoordinate} from '../extent.js';
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import {
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buffer,
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createEmpty,
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createOrUpdateFromCoordinate,
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getCenter,
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} from '../extent.js';
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import {getUid} from '../util.js';
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/**
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* @typedef {Object} Options
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* @property {import("./Source.js").AttributionLike} [attributions] Attributions.
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* @property {number} [distance=20] Minimum distance in pixels between clusters.
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* @property {number} [distance=20] Distance in pixels within which features will
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* be clustered together.
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* @property {number} [minDistance=0] Minimum distance in pixels between clusters.
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* Will be capped at the configured distance.
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* By default no minimum distance is guaranteed. This config can be used to avoid
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* overlapping icons. As a tradoff, the cluster feature's position will no longer be
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* the center of all its features.
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* @property {function(Feature):Point} [geometryFunction]
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* Function that takes an {@link module:ol/Feature} as argument and returns an
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* {@link module:ol/geom/Point} as cluster calculation point for the feature. When a
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@@ -66,6 +77,18 @@ class Cluster extends VectorSource {
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*/
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this.distance = options.distance !== undefined ? options.distance : 20;
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/**
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* @type {number}
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* @protected
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*/
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this.minDistance = options.minDistance || 0;
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/**
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* @type {number}
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* @protected
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*/
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this.interpolationRatio = 0;
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/**
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* @type {Array<Feature>}
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* @protected
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@@ -85,8 +108,15 @@ class Cluster extends VectorSource {
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return geometry;
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};
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/**
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* @type {VectorSource}
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* @protected
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*/
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this.source = null;
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this.boundRefresh_ = this.refresh.bind(this);
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this.updateDistance(this.distance, this.minDistance);
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this.setSource(options.source || null);
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}
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@@ -126,21 +156,37 @@ class Cluster extends VectorSource {
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loadFeatures(extent, resolution, projection) {
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this.source.loadFeatures(extent, resolution, projection);
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if (resolution !== this.resolution) {
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this.clear();
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this.resolution = resolution;
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this.cluster();
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this.addFeatures(this.features);
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this.refresh();
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}
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}
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/**
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* Set the distance in pixels between clusters.
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* Set the distance within which features will be clusterd together.
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* @param {number} distance The distance in pixels.
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* @api
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*/
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setDistance(distance) {
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this.distance = distance;
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this.refresh();
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this.updateDistance(distance, this.minDistance);
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}
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/**
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* Set the minimum distance between clusters. Will be capped at the
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* configured distance.
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* @param {number} minDistance The minimum distance in pixels.
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* @api
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*/
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setMinDistance(minDistance) {
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this.updateDistance(this.distance, minDistance);
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}
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/**
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* The configured minimum distance between clusters.
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* @return {number} The minimum distance in pixels.
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* @api
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*/
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getMinDistance() {
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return this.minDistance;
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}
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/**
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@@ -168,6 +214,24 @@ class Cluster extends VectorSource {
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this.addFeatures(this.features);
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}
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/**
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* Update the distances and refresh the source if necessary.
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* @param {number} distance The new distnce.
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* @param {number} minDistance The new minimum distance.
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*/
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updateDistance(distance, minDistance) {
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const ratio =
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distance === 0 ? 0 : Math.min(minDistance, distance) / distance;
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const changed =
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distance !== this.distance || this.interpolationRatio !== ratio;
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this.distance = distance;
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this.minDistance = minDistance;
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this.interpolationRatio = ratio;
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if (changed) {
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this.refresh();
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}
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}
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/**
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* @protected
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*/
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@@ -179,9 +243,7 @@ class Cluster extends VectorSource {
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const mapDistance = this.distance * this.resolution;
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const features = this.source.getFeatures();
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/**
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* @type {!Object<string, boolean>}
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*/
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/** @type {Object<string, true>} */
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const clustered = {};
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for (let i = 0, ii = features.length; i < ii; i++) {
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@@ -193,17 +255,17 @@ class Cluster extends VectorSource {
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createOrUpdateFromCoordinate(coordinates, extent);
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buffer(extent, mapDistance, extent);
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let neighbors = this.source.getFeaturesInExtent(extent);
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neighbors = neighbors.filter(function (neighbor) {
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const uid = getUid(neighbor);
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if (!(uid in clustered)) {
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const neighbors = this.source
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.getFeaturesInExtent(extent)
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.filter(function (neighbor) {
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const uid = getUid(neighbor);
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if (uid in clustered) {
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return false;
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}
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clustered[uid] = true;
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return true;
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} else {
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return false;
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}
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});
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this.features.push(this.createCluster(neighbors));
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});
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this.features.push(this.createCluster(neighbors, extent));
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}
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}
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}
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@@ -211,10 +273,11 @@ class Cluster extends VectorSource {
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/**
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* @param {Array<Feature>} features Features
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* @param {import("../extent.js").Extent} extent The searched extent for these features.
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* @return {Feature} The cluster feature.
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* @protected
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*/
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createCluster(features) {
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createCluster(features, extent) {
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const centroid = [0, 0];
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for (let i = features.length - 1; i >= 0; --i) {
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const geometry = this.geometryFunction(features[i]);
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@@ -225,9 +288,14 @@ class Cluster extends VectorSource {
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}
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}
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scaleCoordinate(centroid, 1 / features.length);
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const cluster = new Feature(new Point(centroid));
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cluster.set('features', features);
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const searchCenter = getCenter(extent);
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const ratio = this.interpolationRatio;
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const geometry = new Point([
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centroid[0] * (1 - ratio) + searchCenter[0] * ratio,
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centroid[1] * (1 - ratio) + searchCenter[1] * ratio,
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]);
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const cluster = new Feature(geometry);
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cluster.set('features', features, true);
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return cluster;
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}
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}
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