首页 > 代码库 > 提高Baidu Map聚合的效率

提高Baidu Map聚合的效率

  百度的MAP的例子里提供了一个聚合效果,地址是 http://developer.baidu.com/map/jsdemo.htm#c1_4 ,效果图如下图:

  技术分享

  这个效果很赞,但效率很低,当数据量达到5000的时候就难以忍受了,加载和地图缩放都很卡,用户体验很差劲。官方提供的MarkerClusterer.js 文件是这样的:

技术分享
/** * @fileoverview MarkerClusterer标记聚合器用来解决加载大量点要素到地图上产生覆盖现象的问题,并提高性能。 * 主入口类是<a href="http://www.mamicode.com/symbols/BMapLib.MarkerClusterer.html">MarkerClusterer</a>, * 基于Baidu Map API 1.2。 * * @author Baidu Map Api Group  * @version 1.2 */ /**  * @namespace BMap的所有library类均放在BMapLib命名空间下 */var BMapLib = window.BMapLib = BMapLib || {};(function(){        /**     * 获取一个扩展的视图范围,把上下左右都扩大一样的像素值。     * @param {Map} map BMap.Map的实例化对象     * @param {BMap.Bounds} bounds BMap.Bounds的实例化对象     * @param {Number} gridSize 要扩大的像素值     *     * @return {BMap.Bounds} 返回扩大后的视图范围。     */    var getExtendedBounds = function(map, bounds, gridSize){        bounds = cutBoundsInRange(bounds);        var pixelNE = map.pointToPixel(bounds.getNorthEast());        var pixelSW = map.pointToPixel(bounds.getSouthWest());         pixelNE.x += gridSize;        pixelNE.y -= gridSize;        pixelSW.x -= gridSize;        pixelSW.y += gridSize;        var newNE = map.pixelToPoint(pixelNE);        var newSW = map.pixelToPoint(pixelSW);        return new BMap.Bounds(newSW, newNE);    };    /**     * 按照百度地图支持的世界范围对bounds进行边界处理     * @param {BMap.Bounds} bounds BMap.Bounds的实例化对象     *     * @return {BMap.Bounds} 返回不越界的视图范围     */    var cutBoundsInRange = function (bounds) {        var maxX = getRange(bounds.getNorthEast().lng, -180, 180);        var minX = getRange(bounds.getSouthWest().lng, -180, 180);        var maxY = getRange(bounds.getNorthEast().lat, -74, 74);        var minY = getRange(bounds.getSouthWest().lat, -74, 74);        return new BMap.Bounds(new BMap.Point(minX, minY), new BMap.Point(maxX, maxY));    };     /**     * 对单个值进行边界处理。     * @param {Number} i 要处理的数值     * @param {Number} min 下边界值     * @param {Number} max 上边界值     *      * @return {Number} 返回不越界的数值     */    var getRange = function (i, mix, max) {        mix && (i = Math.max(i, mix));        max && (i = Math.min(i, max));        return i;    };    /**     * 判断给定的对象是否为数组     * @param {Object} source 要测试的对象     *     * @return {Boolean} 如果是数组返回true,否则返回false     */    var isArray = function (source) {        return ‘[object Array]‘ === Object.prototype.toString.call(source);    };    /**     * 返回item在source中的索引位置     * @param {Object} item 要测试的对象     * @param {Array} source 数组     *     * @return {Number} 如果在数组内,返回索引,否则返回-1     */    var indexOf = function(item, source){        var index = -1;        if(isArray(source)){            if (source.indexOf) {                index = source.indexOf(item);            } else {                for (var i = 0, m; m = source[i]; i++) {                    if (m === item) {                        index = i;                        break;                    }                }            }        }                return index;    };    /**     *@exports MarkerClusterer as BMapLib.MarkerClusterer     */    var MarkerClusterer =          /**         * MarkerClusterer         * @class 用来解决加载大量点要素到地图上产生覆盖现象的问题,并提高性能         * @constructor         * @param {Map} map 地图的一个实例。         * @param {Json Object} options 可选参数,可选项包括:<br />         *    markers {Array<Marker>} 要聚合的标记数组<br />         *    girdSize {Number} 聚合计算时网格的像素大小,默认60<br />         *    maxZoom {Number} 最大的聚合级别,大于该级别就不进行相应的聚合<br />         *    minClusterSize {Number} 最小的聚合数量,小于该数量的不能成为一个聚合,默认为2<br />         *    isAverangeCenter {Boolean} 聚合点的落脚位置是否是所有聚合在内点的平均值,默认为否,落脚在聚合内的第一个点<br />         *    styles {Array<IconStyle>} 自定义聚合后的图标风格,请参考TextIconOverlay类<br />         */        BMapLib.MarkerClusterer = function(map, options){            if (!map){                return;            }            this._map = map;            this._markers = [];            this._clusters = [];                        var opts = options || {};            this._gridSize = opts["gridSize"] || 60;            this._maxZoom = opts["maxZoom"] || 18;            this._minClusterSize = opts["minClusterSize"] || 2;                       this._isAverageCenter = false;            if (opts[‘isAverageCenter‘] != undefined) {                this._isAverageCenter = opts[‘isAverageCenter‘];            }                this._styles = opts["styles"] || [];                    var that = this;            this._map.addEventListener("zoomend",function(){                that._redraw();                 });                this._map.addEventListener("moveend",function(){                 that._redraw();                 });               var mkrs = opts["markers"];            isArray(mkrs) && this.addMarkers(mkrs);        };    /**     * 添加要聚合的标记数组。     * @param {Array<Marker>} markers 要聚合的标记数组     *     * @return 无返回值。     */    MarkerClusterer.prototype.addMarkers = function(markers){        for(var i = 0, len = markers.length; i <len ; i++){            this._pushMarkerTo(markers[i]);        }        this._createClusters();       };    /**     * 把一个标记添加到要聚合的标记数组中     * @param {BMap.Marker} marker 要添加的标记     *     * @return 无返回值。     */    MarkerClusterer.prototype._pushMarkerTo = function(marker){        var index = indexOf(marker, this._markers);        if(index === -1){            marker.isInCluster = false;            this._markers.push(marker);//Marker拖放后enableDragging不做变化,忽略        }    };    /**     * 添加一个聚合的标记。     * @param {BMap.Marker} marker 要聚合的单个标记。     * @return 无返回值。     */    MarkerClusterer.prototype.addMarker = function(marker) {        this._pushMarkerTo(marker);        this._createClusters();    };    /**     * 根据所给定的标记,创建聚合点     * @return 无返回值     */    MarkerClusterer.prototype._createClusters = function(){        var mapBounds = this._map.getBounds();        var extendedBounds = getExtendedBounds(this._map, mapBounds, this._gridSize);        for(var i = 0, marker; marker = this._markers[i]; i++){            if(!marker.isInCluster && extendedBounds.containsPoint(marker.getPosition()) ){                 this._addToClosestCluster(marker);            }        }       };    /**     * 根据标记的位置,把它添加到最近的聚合中     * @param {BMap.Marker} marker 要进行聚合的单个标记     *     * @return 无返回值。     */    MarkerClusterer.prototype._addToClosestCluster = function (marker){        var distance = 4000000;        var clusterToAddTo = null;        var position = marker.getPosition();        for(var i = 0, cluster; cluster = this._clusters[i]; i++){            var center = cluster.getCenter();            if(center){                var d = this._map.getDistance(center, marker.getPosition());                if(d < distance){                    distance = d;                    clusterToAddTo = cluster;                }            }        }            if (clusterToAddTo && clusterToAddTo.isMarkerInClusterBounds(marker)){            clusterToAddTo.addMarker(marker);        } else {            var cluster = new Cluster(this);            cluster.addMarker(marker);                        this._clusters.push(cluster);        }        };    /**     * 清除上一次的聚合的结果     * @return 无返回值。     */    MarkerClusterer.prototype._clearLastClusters = function(){        for(var i = 0, cluster; cluster = this._clusters[i]; i++){                        cluster.remove();        }        this._clusters = [];//置空Cluster数组        this._removeMarkersFromCluster();//把Marker的cluster标记设为false    };    /**     * 清除某个聚合中的所有标记     * @return 无返回值     */    MarkerClusterer.prototype._removeMarkersFromCluster = function(){        for(var i = 0, marker; marker = this._markers[i]; i++){            marker.isInCluster = false;        }    };       /**     * 把所有的标记从地图上清除     * @return 无返回值     */    MarkerClusterer.prototype._removeMarkersFromMap = function(){        for(var i = 0, marker; marker = this._markers[i]; i++){            marker.isInCluster = false;            this._map.removeOverlay(marker);               }    };    /**     * 删除单个标记     * @param {BMap.Marker} marker 需要被删除的marker     *     * @return {Boolean} 删除成功返回true,否则返回false     */    MarkerClusterer.prototype._removeMarker = function(marker) {        var index = indexOf(marker, this._markers);        if (index === -1) {            return false;        }        this._map.removeOverlay(marker);        this._markers.splice(index, 1);        return true;    };    /**     * 删除单个标记     * @param {BMap.Marker} marker 需要被删除的marker     *     * @return {Boolean} 删除成功返回true,否则返回false     */    MarkerClusterer.prototype.removeMarker = function(marker) {        var success = this._removeMarker(marker);        if (success) {            this._clearLastClusters();            this._createClusters();        }        return success;    };        /**     * 删除一组标记     * @param {Array<BMap.Marker>} markers 需要被删除的marker数组     *     * @return {Boolean} 删除成功返回true,否则返回false     */    MarkerClusterer.prototype.removeMarkers = function(markers) {        var success = false;        for (var i = 0; i < markers.length; i++) {            var r = this._removeMarker(markers[i]);            success = success || r;         }        if (success) {            this._clearLastClusters();            this._createClusters();        }        return success;    };    /**     * 从地图上彻底清除所有的标记     * @return 无返回值     */    MarkerClusterer.prototype.clearMarkers = function() {        this._clearLastClusters();        this._removeMarkersFromMap();        this._markers = [];    };    /**     * 重新生成,比如改变了属性等     * @return 无返回值     */    MarkerClusterer.prototype._redraw = function () {        this._clearLastClusters();        this._createClusters();    };    /**     * 获取网格大小     * @return {Number} 网格大小     */    MarkerClusterer.prototype.getGridSize = function() {        return this._gridSize;    };    /**     * 设置网格大小     * @param {Number} size 网格大小     * @return 无返回值     */    MarkerClusterer.prototype.setGridSize = function(size) {        this._gridSize = size;        this._redraw();    };    /**     * 获取聚合的最大缩放级别。     * @return {Number} 聚合的最大缩放级别。     */    MarkerClusterer.prototype.getMaxZoom = function() {        return this._maxZoom;           };    /**     * 设置聚合的最大缩放级别     * @param {Number} maxZoom 聚合的最大缩放级别     * @return 无返回值     */    MarkerClusterer.prototype.setMaxZoom = function(maxZoom) {        this._maxZoom = maxZoom;        this._redraw();    };    /**     * 获取聚合的样式风格集合     * @return {Array<IconStyle>} 聚合的样式风格集合     */    MarkerClusterer.prototype.getStyles = function() {        return this._styles;    };    /**     * 设置聚合的样式风格集合     * @param {Array<IconStyle>} styles 样式风格数组     * @return 无返回值     */    MarkerClusterer.prototype.setStyles = function(styles) {        this._styles = styles;        this._redraw();    };    /**     * 获取单个聚合的最小数量。     * @return {Number} 单个聚合的最小数量。     */    MarkerClusterer.prototype.getMinClusterSize = function() {        return this._minClusterSize;    };    /**     * 设置单个聚合的最小数量。     * @param {Number} size 单个聚合的最小数量。     * @return 无返回值。     */    MarkerClusterer.prototype.setMinClusterSize = function(size) {        this._minClusterSize = size;        this._redraw();    };    /**     * 获取单个聚合的落脚点是否是聚合内所有标记的平均中心。     * @return {Boolean} true或false。     */    MarkerClusterer.prototype.isAverageCenter = function() {        return this._isAverageCenter;    };    /**     * 获取聚合的Map实例。     * @return {Map} Map的示例。     */    MarkerClusterer.prototype.getMap = function() {      return this._map;    };    /**     * 获取所有的标记数组。     * @return {Array<Marker>} 标记数组。     */    MarkerClusterer.prototype.getMarkers = function() {        return this._markers;    };    /**     * 获取聚合的总数量。     * @return {Number} 聚合的总数量。     */    MarkerClusterer.prototype.getClustersCount = function() {        var count = 0;        for(var i = 0, cluster; cluster = this._clusters[i]; i++){            cluster.isReal() && count++;             }        return count;    };    /**     * @ignore     * Cluster     * @class 表示一个聚合对象,该聚合,包含有N个标记,这N个标记组成的范围,并有予以显示在Map上的TextIconOverlay等。     * @constructor     * @param {MarkerClusterer} markerClusterer 一个标记聚合器示例。     */    function Cluster(markerClusterer){        this._markerClusterer = markerClusterer;        this._map = markerClusterer.getMap();        this._minClusterSize = markerClusterer.getMinClusterSize();        this._isAverageCenter = markerClusterer.isAverageCenter();        this._center = null;//落脚位置        this._markers = [];//这个Cluster中所包含的markers        this._gridBounds = null;//以中心点为准,向四边扩大gridSize个像素的范围,也即网格范围        this._isReal = false; //真的是个聚合            this._clusterMarker = new BMapLib.TextIconOverlay(this._center, this._markers.length, {"styles":this._markerClusterer.getStyles()});        //this._map.addOverlay(this._clusterMarker);    }       /**     * 向该聚合添加一个标记。     * @param {Marker} marker 要添加的标记。     * @return 无返回值。     */    Cluster.prototype.addMarker = function(marker){        if(this.isMarkerInCluster(marker)){            return false;        }//也可用marker.isInCluster判断,外面判断OK,这里基本不会命中            if (!this._center){            this._center = marker.getPosition();            this.updateGridBounds();//        } else {            if(this._isAverageCenter){                var l = this._markers.length + 1;                var lat = (this._center.lat * (l - 1) + marker.getPosition().lat) / l;                var lng = (this._center.lng * (l - 1) + marker.getPosition().lng) / l;                this._center = new BMap.Point(lng, lat);                this.updateGridBounds();            }//计算新的Center        }            marker.isInCluster = true;        this._markers.push(marker);            var len = this._markers.length;        if(len < this._minClusterSize ){                 this._map.addOverlay(marker);            //this.updateClusterMarker();            return true;        } else if (len === this._minClusterSize) {            for (var i = 0; i < len; i++) {                this._markers[i].getMap() && this._map.removeOverlay(this._markers[i]);            }                    }         this._map.addOverlay(this._clusterMarker);        this._isReal = true;        this.updateClusterMarker();        return true;    };        /**     * 判断一个标记是否在该聚合中。     * @param {Marker} marker 要判断的标记。     * @return {Boolean} true或false。     */    Cluster.prototype.isMarkerInCluster= function(marker){        if (this._markers.indexOf) {            return this._markers.indexOf(marker) != -1;        } else {            for (var i = 0, m; m = this._markers[i]; i++) {                if (m === marker) {                    return true;                }            }        }        return false;    };    /**     * 判断一个标记是否在该聚合网格范围中。     * @param {Marker} marker 要判断的标记。     * @return {Boolean} true或false。     */    Cluster.prototype.isMarkerInClusterBounds = function(marker) {        return this._gridBounds.containsPoint(marker.getPosition());    };        Cluster.prototype.isReal = function(marker) {        return this._isReal;    };    /**     * 更新该聚合的网格范围。     * @return 无返回值。     */    Cluster.prototype.updateGridBounds = function() {        var bounds = new BMap.Bounds(this._center, this._center);        this._gridBounds = getExtendedBounds(this._map, bounds, this._markerClusterer.getGridSize());    };    /**     * 更新该聚合的显示样式,也即TextIconOverlay。     * @return 无返回值。     */    Cluster.prototype.updateClusterMarker = function () {        if (this._map.getZoom() > this._markerClusterer.getMaxZoom()) {            this._clusterMarker && this._map.removeOverlay(this._clusterMarker);            for (var i = 0, marker; marker = this._markers[i]; i++) {                this._map.addOverlay(marker);            }            return;        }        if (this._markers.length < this._minClusterSize) {            this._clusterMarker.hide();            return;        }        this._clusterMarker.setPosition(this._center);                this._clusterMarker.setText(this._markers.length);        var thatMap = this._map;        var thatBounds = this.getBounds();        this._clusterMarker.addEventListener("click", function(event){            thatMap.setViewport(thatBounds);        });    };    /**     * 删除该聚合。     * @return 无返回值。     */    Cluster.prototype.remove = function(){        for (var i = 0, m; m = this._markers[i]; i++) {                this._markers[i].getMap() && this._map.removeOverlay(this._markers[i]);        }//清除散的标记点        this._map.removeOverlay(this._clusterMarker);        this._markers.length = 0;        delete this._markers;    }    /**     * 获取该聚合所包含的所有标记的最小外接矩形的范围。     * @return {BMap.Bounds} 计算出的范围。     */    Cluster.prototype.getBounds = function() {        var bounds = new BMap.Bounds(this._center,this._center);        for (var i = 0, marker; marker = this._markers[i]; i++) {            bounds.extend(marker.getPosition());        }        return bounds;    };    /**     * 获取该聚合的落脚点。     * @return {BMap.Point} 该聚合的落脚点。     */    Cluster.prototype.getCenter = function() {        return this._center;    };})();
View Code

  这经过测试发现_addToClosestCluster耗时最严重,进一步跟踪到这里,发现是addMarker太占资源了:

技术分享

  跟踪到 Cluster.prototype.addMarker 找到 updateClusterMarker 这个方法

技术分享

  进入 Cluster.prototype.updateClusterMarker 在下图的位置加一个return; 发现效率提供了几百倍,只是地图上再也没有热点了,因为return 屏蔽了下面的绘制。

技术分享

  仔细看了一下这个函数发现这里有个比较严重的问题,如果有5000个点,那么就会调用5000次的addMarker,也就会执行5000次的 setPosition和 setText,这样当然会慢了。应该是在 Cluster数据准备好了一次性绘制到MAP上,例如有10个聚合也只需要绘制10次而已。

技术分享

 

于是我加一个聚合的绘制方法:

我同时屏蔽了click事件,因为发现 setViewport 会触发多次的zoomend和moveend,导致聚合被_redraw了很多次!

    Cluster.prototype.drawToMap = function(){        this._clusterMarker.setPosition(this._center);                this._clusterMarker.setText(this._markers.length);        return;        var thatMap = this._map;        var thatBounds = this.getBounds();        this._clusterMarker.addEventListener("click", function(event){            thatMap.setViewport(thatBounds);    //bug! 这里多次出发 moveend  _redraw         });            }    

这个在 MarkerClusterer.prototype._createClusters 最后循环调用一次即可:

    MarkerClusterer.prototype._createClusters = function(){        log(‘_createClusters begin..‘);        var mapBounds = this._map.getBounds();        var extendedBounds = getExtendedBounds(this._map, mapBounds, this._gridSize);        for(var i = 0, marker; marker = this._markers[i]; i++){            //marker 不属于任何聚合 && marker 在map视图范围内             if(!marker.isInCluster && extendedBounds.containsPoint(marker.getPosition()) ){                 this._addToClosestCluster(marker);            }        }           log(‘_createClusters end..‘);        for(var i = 0, cluster; cluster = this._clusters[i]; i++){            cluster.drawToMap();    //一起绘制到地图上         }    };

修改后有个小BUG,需要同时修改下TextIconOverlay脚本,在TextIconOverlay.prototype._updateCss里加一个判断:

    /**    *更新相应的CSS。    *@return 无返回值。    */    TextIconOverlay.prototype._updateCss = function(){        var style = this.getStyleByText(this._text, this._styles);        if(this._domElement){            this._domElement.style.cssText = this._buildCssText(style);        }    };

 

经过修改后的MarkerClusterer效率提高了不少,5000个坐标下运行还是比较流畅的,到了3w个坐标还是有点吃力。

1.8w数据

技术分享

1W数据

技术分享

 

修改后的 MarkerClusterer.js 

var BMapLib = window.BMapLib = BMapLib || {};(function() {    var getExtendedBounds = function(map, bounds, gridSize) {            bounds = cutBoundsInRange(bounds);            var pixelNE = map.pointToPixel(bounds.getNorthEast());            var pixelSW = map.pointToPixel(bounds.getSouthWest());            pixelNE.x += gridSize;            pixelNE.y -= gridSize;            pixelSW.x -= gridSize;            pixelSW.y += gridSize;            var newNE = map.pixelToPoint(pixelNE);            var newSW = map.pixelToPoint(pixelSW);            return new BMap.Bounds(newSW, newNE)        };    var cutBoundsInRange = function(bounds) {            var maxX = getRange(bounds.getNorthEast().lng, -180, 180);            var minX = getRange(bounds.getSouthWest().lng, -180, 180);            var maxY = getRange(bounds.getNorthEast().lat, -74, 74);            var minY = getRange(bounds.getSouthWest().lat, -74, 74);            return new BMap.Bounds(new BMap.Point(minX, minY), new BMap.Point(maxX, maxY))        };    var getRange = function(i, mix, max) {            mix && (i = Math.max(i, mix));            max && (i = Math.min(i, max));            return i        };    var isArray = function(source) {            return ‘[object Array]‘ === Object.prototype.toString.call(source)        };    var indexOf = function(item, source) {            var index = -1;            if (isArray(source)) {                if (source.indexOf) {                    index = source.indexOf(item)                } else {                    for (var i = 0, m; m = source[i]; i++) {                        if (m === item) {                            index = i;                            break                        }                    }                }            }            return index        };    var MarkerClusterer = BMapLib.MarkerClusterer = function(map, options) {            if (!map) {                return            }            this._map = map;            this._markers = [];            this._clusters = [];            var opts = options || {};            this._gridSize = opts["gridSize"] || 60;            this._maxZoom = opts["maxZoom"] || 18;            this._minClusterSize = opts["minClusterSize"] || 2;            this._isAverageCenter = false;            if (opts[‘isAverageCenter‘] != undefined) {                this._isAverageCenter = opts[‘isAverageCenter‘]            }            this._styles = opts["styles"] || [];            var that = this;            this._map.addEventListener("zoomend", function() {                that._redraw()            });            this._map.addEventListener("moveend", function() {                that._redraw()            });            var mkrs = opts["markers"];            isArray(mkrs) && this.addMarkers(mkrs)        };    MarkerClusterer.prototype.addMarkers = function(markers) {        for (var i = 0, len = markers.length; i < len; i++) {            this._pushMarkerTo(markers[i])        }        this._createClusters()    };    MarkerClusterer.prototype._pushMarkerTo = function(marker) {        var index = indexOf(marker, this._markers);        if (index === -1) {            marker.isInCluster = false;            this._markers.push(marker)        }    };    MarkerClusterer.prototype.addMarker = function(marker) {        this._pushMarkerTo(marker);        this._createClusters()    };    MarkerClusterer.prototype._createClusters = function() {        var mapBounds = this._map.getBounds();        var extendedBounds = getExtendedBounds(this._map, mapBounds, this._gridSize);        for (var i = 0, marker; marker = this._markers[i]; i++) {            if (!marker.isInCluster && extendedBounds.containsPoint(marker.getPosition())) {                this._addToClosestCluster(marker)            }        }        for (var i = 0, cluster; cluster = this._clusters[i]; i++) {            cluster.drawToMap()        }    };    MarkerClusterer.prototype._addToClosestCluster = function(marker) {        var distance = 4000000;        var clusterToAddTo = null;        var position = marker.getPosition();        for (var i = 0, cluster; cluster = this._clusters[i]; i++) {            var center = cluster.getCenter();            if (center) {                var d = this._map.getDistance(center, marker.getPosition());                if (d < distance) {                    distance = d;                    clusterToAddTo = cluster                }            }        }        if (clusterToAddTo && clusterToAddTo.isMarkerInClusterBounds(marker)) {            clusterToAddTo.addMarker(marker)        } else {            var cluster = new Cluster(this);            cluster.addMarker(marker);            this._clusters.push(cluster)        }    };    MarkerClusterer.prototype._clearLastClusters = function() {        for (var i = 0, cluster; cluster = this._clusters[i]; i++) {            cluster.remove()        }        this._clusters = [];        this._removeMarkersFromCluster()    };    MarkerClusterer.prototype._removeMarkersFromCluster = function() {        for (var i = 0, marker; marker = this._markers[i]; i++) {            marker.isInCluster = false        }    };    MarkerClusterer.prototype._removeMarkersFromMap = function() {        for (var i = 0, marker; marker = this._markers[i]; i++) {            marker.isInCluster = false;            this._map.removeOverlay(marker)        }    };    MarkerClusterer.prototype._removeMarker = function(marker) {        var index = indexOf(marker, this._markers);        if (index === -1) {            return false        }        this._map.removeOverlay(marker);        this._markers.splice(index, 1);        return true    };    MarkerClusterer.prototype.removeMarker = function(marker) {        var success = this._removeMarker(marker);        if (success) {            this._clearLastClusters();            this._createClusters()        }        return success    };    MarkerClusterer.prototype.removeMarkers = function(markers) {        var success = false;        for (var i = 0; i < markers.length; i++) {            var r = this._removeMarker(markers[i]);            success = success || r        }        if (success) {            this._clearLastClusters();            this._createClusters()        }        return success    };    MarkerClusterer.prototype.clearMarkers = function() {        this._clearLastClusters();        this._removeMarkersFromMap();        this._markers = []    };    MarkerClusterer.prototype._redraw = function() {        this._clearLastClusters();        this._createClusters()    };    MarkerClusterer.prototype.getGridSize = function() {        return this._gridSize    };    MarkerClusterer.prototype.setGridSize = function(size) {        this._gridSize = size;        this._redraw()    };    MarkerClusterer.prototype.getMaxZoom = function() {        return this._maxZoom    };    MarkerClusterer.prototype.setMaxZoom = function(maxZoom) {        this._maxZoom = maxZoom;        this._redraw()    };    MarkerClusterer.prototype.getStyles = function() {        return this._styles    };    MarkerClusterer.prototype.setStyles = function(styles) {        this._styles = styles;        this._redraw()    };    MarkerClusterer.prototype.getMinClusterSize = function() {        return this._minClusterSize    };    MarkerClusterer.prototype.setMinClusterSize = function(size) {        this._minClusterSize = size;        this._redraw()    };    MarkerClusterer.prototype.isAverageCenter = function() {        return this._isAverageCenter    };    MarkerClusterer.prototype.getMap = function() {        return this._map    };    MarkerClusterer.prototype.getMarkers = function() {        return this._markers    };    MarkerClusterer.prototype.getClustersCount = function() {        var count = 0;        for (var i = 0, cluster; cluster = this._clusters[i]; i++) {            cluster.isReal() && count++        }        return count    };    function Cluster(markerClusterer) {        this._markerClusterer = markerClusterer;        this._map = markerClusterer.getMap();        this._minClusterSize = markerClusterer.getMinClusterSize();        this._isAverageCenter = markerClusterer.isAverageCenter();        this._center = null;        this._markers = [];        this._gridBounds = null;        this._isReal = false;        this._clusterMarker = new BMapLib.TextIconOverlay(this._center, this._markers.length, {            "styles": this._markerClusterer.getStyles()        })    }    Cluster.prototype.addMarker = function(marker) {        if (this.isMarkerInCluster(marker)) {            return false        }        if (!this._center) {            this._center = marker.getPosition();            this.updateGridBounds()        } else {            if (this._isAverageCenter) {                var l = this._markers.length + 1;                var lat = (this._center.lat * (l - 1) + marker.getPosition().lat) / l;                var lng = (this._center.lng * (l - 1) + marker.getPosition().lng) / l;                this._center = new BMap.Point(lng, lat);                this.updateGridBounds()            }        }        marker.isInCluster = true;        this._markers.push(marker);        var len = this._markers.length;        if (len < this._minClusterSize) {            this._map.addOverlay(marker);            return true        } else if (len === this._minClusterSize) {            for (var i = 0; i < len; i++) {                this._markers[i].getMap() && this._map.removeOverlay(this._markers[i])            }        }        this._map.addOverlay(this._clusterMarker);        this._isReal = true;        this.updateClusterMarker();        return true    };    Cluster.prototype.isMarkerInCluster = function(marker) {        if (this._markers.indexOf) {            return this._markers.indexOf(marker) != -1        } else {            for (var i = 0, m; m = this._markers[i]; i++) {                if (m === marker) {                    return true                }            }        }        return false    };    Cluster.prototype.isMarkerInClusterBounds = function(marker) {        return this._gridBounds.containsPoint(marker.getPosition())    };    Cluster.prototype.isReal = function(marker) {        return this._isReal    };    Cluster.prototype.updateGridBounds = function() {        var bounds = new BMap.Bounds(this._center, this._center);        this._gridBounds = getExtendedBounds(this._map, bounds, this._markerClusterer.getGridSize())    };    Cluster.prototype.drawToMap = function() {        this._clusterMarker.setPosition(this._center);        this._clusterMarker.setText(this._markers.length);        return;        var thatMap = this._map;        var thatBounds = this.getBounds();        this._clusterMarker.addEventListener("click", function(event) {            thatMap.setViewport(thatBounds)        })    }    Cluster.prototype.updateClusterMarker = function() {        if (this._map.getZoom() > this._markerClusterer.getMaxZoom()) {            this._clusterMarker && this._map.removeOverlay(this._clusterMarker);            for (var i = 0, marker; marker = this._markers[i]; i++) {                this._map.addOverlay(marker)            }            return        }        if (this._markers.length < this._minClusterSize) {            this._clusterMarker.hide();            return        }        return;        this._clusterMarker.setPosition(this._center);        this._clusterMarker.setText(this._markers.length);        var thatMap = this._map;        var thatBounds = this.getBounds();        this._clusterMarker.addEventListener("click", function(event) {            thatMap.setViewport(thatBounds)        })    };    Cluster.prototype.remove = function() {        for (var i = 0, m; m = this._markers[i]; i++) {            this._markers[i].getMap() && this._map.removeOverlay(this._markers[i])        }        this._map.removeOverlay(this._clusterMarker);        this._markers.length = 0;        delete this._markers    }    Cluster.prototype.getBounds = function() {        var bounds = new BMap.Bounds(this._center, this._center);        for (var i = 0, marker; marker = this._markers[i]; i++) {            bounds.extend(marker.getPosition())        }        return bounds    };    Cluster.prototype.getCenter = function() {        return this._center    }})();

 

提高Baidu Map聚合的效率