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+/* Copyright (c) 2006-2013 by OpenLayers Contributors (see authors.txt for
+ * full list of contributors). Published under the 2-clause BSD license.
+ * See license.txt in the OpenLayers distribution or repository for the
+ * full text of the license. */
+
+/**
+ * @requires OpenLayers/Strategy.js
+ */
+
+/**
+ * Class: OpenLayers.Strategy.Cluster
+ * Strategy for vector feature clustering.
+ *
+ * Inherits from:
+ * - <OpenLayers.Strategy>
+ */
+OpenLayers.Strategy.Cluster = OpenLayers.Class(OpenLayers.Strategy, {
+
+ /**
+ * APIProperty: distance
+ * {Integer} Pixel distance between features that should be considered a
+ * single cluster. Default is 20 pixels.
+ */
+ distance: 20,
+
+ /**
+ * APIProperty: threshold
+ * {Integer} Optional threshold below which original features will be
+ * added to the layer instead of clusters. For example, a threshold
+ * of 3 would mean that any time there are 2 or fewer features in
+ * a cluster, those features will be added directly to the layer instead
+ * of a cluster representing those features. Default is null (which is
+ * equivalent to 1 - meaning that clusters may contain just one feature).
+ */
+ threshold: null,
+
+ /**
+ * Property: features
+ * {Array(<OpenLayers.Feature.Vector>)} Cached features.
+ */
+ features: null,
+
+ /**
+ * Property: clusters
+ * {Array(<OpenLayers.Feature.Vector>)} Calculated clusters.
+ */
+ clusters: null,
+
+ /**
+ * Property: clustering
+ * {Boolean} The strategy is currently clustering features.
+ */
+ clustering: false,
+
+ /**
+ * Property: resolution
+ * {Float} The resolution (map units per pixel) of the current cluster set.
+ */
+ resolution: null,
+
+ /**
+ * Constructor: OpenLayers.Strategy.Cluster
+ * Create a new clustering strategy.
+ *
+ * Parameters:
+ * options - {Object} Optional object whose properties will be set on the
+ * instance.
+ */
+
+ /**
+ * APIMethod: activate
+ * Activate the strategy. Register any listeners, do appropriate setup.
+ *
+ * Returns:
+ * {Boolean} The strategy was successfully activated.
+ */
+ activate: function() {
+ var activated = OpenLayers.Strategy.prototype.activate.call(this);
+ if(activated) {
+ this.layer.events.on({
+ "beforefeaturesadded": this.cacheFeatures,
+ "featuresremoved": this.clearCache,
+ "moveend": this.cluster,
+ scope: this
+ });
+ }
+ return activated;
+ },
+
+ /**
+ * APIMethod: deactivate
+ * Deactivate the strategy. Unregister any listeners, do appropriate
+ * tear-down.
+ *
+ * Returns:
+ * {Boolean} The strategy was successfully deactivated.
+ */
+ deactivate: function() {
+ var deactivated = OpenLayers.Strategy.prototype.deactivate.call(this);
+ if(deactivated) {
+ this.clearCache();
+ this.layer.events.un({
+ "beforefeaturesadded": this.cacheFeatures,
+ "featuresremoved": this.clearCache,
+ "moveend": this.cluster,
+ scope: this
+ });
+ }
+ return deactivated;
+ },
+
+ /**
+ * Method: cacheFeatures
+ * Cache features before they are added to the layer.
+ *
+ * Parameters:
+ * event - {Object} The event that this was listening for. This will come
+ * with a batch of features to be clustered.
+ *
+ * Returns:
+ * {Boolean} False to stop features from being added to the layer.
+ */
+ cacheFeatures: function(event) {
+ var propagate = true;
+ if(!this.clustering) {
+ this.clearCache();
+ this.features = event.features;
+ this.cluster();
+ propagate = false;
+ }
+ return propagate;
+ },
+
+ /**
+ * Method: clearCache
+ * Clear out the cached features.
+ */
+ clearCache: function() {
+ if(!this.clustering) {
+ this.features = null;
+ }
+ },
+
+ /**
+ * Method: cluster
+ * Cluster features based on some threshold distance.
+ *
+ * Parameters:
+ * event - {Object} The event received when cluster is called as a
+ * result of a moveend event.
+ */
+ cluster: function(event) {
+ if((!event || event.zoomChanged) && this.features) {
+ var resolution = this.layer.map.getResolution();
+ if(resolution != this.resolution || !this.clustersExist()) {
+ this.resolution = resolution;
+ var clusters = [];
+ var feature, clustered, cluster;
+ for(var i=0; i<this.features.length; ++i) {
+ feature = this.features[i];
+ if(feature.geometry) {
+ clustered = false;
+ for(var j=clusters.length-1; j>=0; --j) {
+ cluster = clusters[j];
+ if(this.shouldCluster(cluster, feature)) {
+ this.addToCluster(cluster, feature);
+ clustered = true;
+ break;
+ }
+ }
+ if(!clustered) {
+ clusters.push(this.createCluster(this.features[i]));
+ }
+ }
+ }
+ this.clustering = true;
+ this.layer.removeAllFeatures();
+ this.clustering = false;
+ if(clusters.length > 0) {
+ if(this.threshold > 1) {
+ var clone = clusters.slice();
+ clusters = [];
+ var candidate;
+ for(var i=0, len=clone.length; i<len; ++i) {
+ candidate = clone[i];
+ if(candidate.attributes.count < this.threshold) {
+ Array.prototype.push.apply(clusters, candidate.cluster);
+ } else {
+ clusters.push(candidate);
+ }
+ }
+ }
+ this.clustering = true;
+ // A legitimate feature addition could occur during this
+ // addFeatures call. For clustering to behave well, features
+ // should be removed from a layer before requesting a new batch.
+ this.layer.addFeatures(clusters);
+ this.clustering = false;
+ }
+ this.clusters = clusters;
+ }
+ }
+ },
+
+ /**
+ * Method: clustersExist
+ * Determine whether calculated clusters are already on the layer.
+ *
+ * Returns:
+ * {Boolean} The calculated clusters are already on the layer.
+ */
+ clustersExist: function() {
+ var exist = false;
+ if(this.clusters && this.clusters.length > 0 &&
+ this.clusters.length == this.layer.features.length) {
+ exist = true;
+ for(var i=0; i<this.clusters.length; ++i) {
+ if(this.clusters[i] != this.layer.features[i]) {
+ exist = false;
+ break;
+ }
+ }
+ }
+ return exist;
+ },
+
+ /**
+ * Method: shouldCluster
+ * Determine whether to include a feature in a given cluster.
+ *
+ * Parameters:
+ * cluster - {<OpenLayers.Feature.Vector>} A cluster.
+ * feature - {<OpenLayers.Feature.Vector>} A feature.
+ *
+ * Returns:
+ * {Boolean} The feature should be included in the cluster.
+ */
+ shouldCluster: function(cluster, feature) {
+ var cc = cluster.geometry.getBounds().getCenterLonLat();
+ var fc = feature.geometry.getBounds().getCenterLonLat();
+ var distance = (
+ Math.sqrt(
+ Math.pow((cc.lon - fc.lon), 2) + Math.pow((cc.lat - fc.lat), 2)
+ ) / this.resolution
+ );
+ return (distance <= this.distance);
+ },
+
+ /**
+ * Method: addToCluster
+ * Add a feature to a cluster.
+ *
+ * Parameters:
+ * cluster - {<OpenLayers.Feature.Vector>} A cluster.
+ * feature - {<OpenLayers.Feature.Vector>} A feature.
+ */
+ addToCluster: function(cluster, feature) {
+ cluster.cluster.push(feature);
+ cluster.attributes.count += 1;
+ },
+
+ /**
+ * Method: createCluster
+ * Given a feature, create a cluster.
+ *
+ * Parameters:
+ * feature - {<OpenLayers.Feature.Vector>}
+ *
+ * Returns:
+ * {<OpenLayers.Feature.Vector>} A cluster.
+ */
+ createCluster: function(feature) {
+ var center = feature.geometry.getBounds().getCenterLonLat();
+ var cluster = new OpenLayers.Feature.Vector(
+ new OpenLayers.Geometry.Point(center.lon, center.lat),
+ {count: 1}
+ );
+ cluster.cluster = [feature];
+ return cluster;
+ },
+
+ CLASS_NAME: "OpenLayers.Strategy.Cluster"
+});