点聚合

<script type="text/javascript" src="//api.map.baidu.com/api?v=3.0&ak=xxxx"></script>
<script type="text/javascript" src="//api.map.baidu.com/library/TextIconOverlay/1.2/src/TextIconOverlay_min.js"></script>
<script type="text/javascript" src="//api.map.baidu.com/library/MarkerClusterer/1.2/src/MarkerClusterer_min.js"></script>

var map = new BMap.Map('map');
map.centerAndZoom(new BMap.Point(116.404, 39.915), 5);
map.enableScrollWheelZoom();// 随机生成markers经纬度
var MAX = 20;
var markers = [];
var pt = null;
var i = 0;
for (; i < MAX; i++) {pt = new BMap.Point(Math.random() * 40 + 85, Math.random() * 30 + 21);var myIcon = new BMap.Icon('/images/default.png', new BMap.Size(48, 48));markers.push(new BMap.Marker(pt, { icon: myIcon }));
}//最简单的用法，生成一个marker数组，然后调用markerClusterer类即可。
var markerClusterer = new BMapLib.MarkerClusterer(map, { markers: markers });

点聚合弊端及解决方案

点聚合数量超过1w时，会有卡顿现象

解决方案：用以下代码代替 MarkerClusterer_min.js

/*** @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="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，并且遍历所有聚合点* @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);}}var len = this._markers.length;for (var i = 0; i < len; i++) {if (this._clusters[i]) {this._clusters[i].render();}}};/*** 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;tmplabel = marker.getLabel();this._map.removeOverlay(marker);marker.setLabel(tmplabel);}};/*** 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;}tmplabel = marker.getLabel();this._map.removeOverlay(marker);marker.setLabel(tmplabel);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markersthis._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);};/*** 进行dom操作* @return 无返回值*/Cluster.prototype.render = function () {var len = this._markers.length;if (len < this._minClusterSize) {for (var i = 0; i < len; i++) {this._map.addOverlay(this._markers[i]);}} else {this._map.addOverlay(this._clusterMarker);this._isReal = true;this.updateClusterMarker();}};/*** 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++) {tmplabel = this._markers[i].getLabel();this._markers[i].getMap() && this._map.removeOverlay(this._markers[i]);this._markers[i].setLabel(tmplabel);} //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;};
})();
/*** @description 封装聚合函数* @param markes 是所有点的集合*/function markerClustersPoint(markers) {if (this.markerClusterer) {this.markerClusterer.clearMarkers(); //清除聚合}this.markerClusterer = new this.baiduMapLib.MarkerClusterer(this.map, {markers: markers,minClusterSize: 2, //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});// console.log('进入聚合函数markerClusterer', this.markerClusterer)// 拿到所有的聚合点//markerClusterer中的 _clusters是一个数组，包含了可视范围的所有聚合点const cluster = this.markerClusterer._clusters;for (let i = 0; i < cluster.length; i++) {//cluster[i]._markers中包含此聚合点的所有marker集合 //marker长度大于2时不进行聚合效果显示//自定义函数内容，可进行聚合点数据获取操作 //...... //...... //拿到聚合点中的marker数量，用于数字显示if (cluster[i]._markers.length < 2) continue;}
}

把所有图标写在canvas上，然后把canvas写进地图

解决方案1：用百度地图mapv插件实现

mapv文档地址：https://mapv.baidu.com/

解决方案2：用百度地图api实现
参考文章：https://blog.csdn.net/qq_23447231/article/details/117961725

百度地图-图标过多卡顿解决方案相关推荐

百度地图行政区优化卡顿问题
百度地图行政区优化卡顿只筛选一个区域沿海城市会出现多个区域,比如上海有4个区域,一个是主区域,外加三个岛屿,把三个岛屿排除掉 // 获取行政区的时候有可能会出现多个行政区,只获取最大的行政区域le ...
解决百度地图多点聚合卡顿问题
由于百度地图提供的MarkerClusterer_min.js 比较卡顿特此提供加速后的MarkerClusterer_min.js 源码如下 /*** @fileoverview MarkerCl ...
使用vue和高德地图，仿58地图找房pc端，且解决marker过多卡顿
使用vue和高德地图,仿58地图找房pc端,且解决marker过多卡顿 1.在index.html引入高德地图链接 https://webapi.amap.com/maps?v=1.4.15& ...
Android开发之百度地图定位打卡
Android开发之百度地图定位打卡一.效果图二.下载百度地图SDK 三.代码实现 1.布局文件(activity_main) 2.布局文件(activity_map) 3.在res文件夹下新建m ...
iOS进阶--提高XCode编译速度、Xcode卡顿解决方案
提升编译链接的速度主要有以下三个方式: 1. 提高XCode编译时使用的线程数 defaults write com.apple.Xcode PBXNumberOfParallelBuildSubta ...
IntelliJ IDEA 运行卡顿解决方案
IntelliJ IDEA 运行卡顿解决方案 1.开启IntelliJ IDEA缓慢,想要提升启动速度)则打开D:\JetBrains\IntelliJ IDEA 2020.3.2\bin(依据实际安 ...
拯救者显卡混合模式卡顿解决方案
拯救者Y9000/Y7000系列混合模式卡顿解决方案拯救者显卡混合模式卡顿解决方案第一步 BIOS 驱动更新第二步卸载联想电脑管家以及应用商城第三步下载并安装legion zone 控 ...
android百度地图overlay卡顿,百度地图maker过多，导致卡顿的优化
原文:https://blog.csdn.net/yzyssg1/article/details/73130679 百度地图的API虽然说覆盖物多了可以用聚合,但聚合使用下来,性能并不好目前解决方案 ...
关于高德地图2.0卡顿问题的解决方案（chrome设置+显卡设置）
最近笔者开始接触高德地图,发现了一种情况:不论是项目上还是高德官方,2.0版本均存在自定义地图在操作时非常卡顿的现象,而1.4.15版本却仍旧流畅. 项目上存在的"多个接口多个文件调用时阻塞 ...

百度地图-图标过多卡顿解决方案

点聚合

把所有图标写在canvas上，然后把canvas写进地图

百度地图-图标过多卡顿解决方案相关推荐

最新文章

热门文章