openlayer4加载echart3的地理位置scatter图-全国主要城市空气质量

     在github上下载了ol3-Echarts-master,原数据是加载echart的迁徙图,我对作者的类进行了改造,编写了一个类EchartLayer,加载饼图。代码如下:

   说明:没有用到偏移量的计算,拖拽、缩放的时候,每次保存原数据(深度克隆),重新计算地理位置所对应的屏幕位置

/**
 * echarts 百度地图扩展,必须在echarts初始化前使用
 *
 * @desc echarts基于Canvas,纯Javascript图表库,提供直观,生动,可交互,可个性化定制的数据统计图表。
 */
//**************js深度克隆*****************//
function deepClone(obj){
    var result;
    var oClass=isClass(obj);
    if(oClass==="Object"){
        result={};
    }else if(oClass==="Array"){
        result=[];
    }else{
        return obj;
    }
    for(var key in obj){
        var copy=obj[key];
        if(isClass(copy)=="Object"){
            result[key]=arguments.callee(copy);//递归调用
        }else if(isClass(copy)=="Array"){
            result[key]=arguments.callee(copy);
        }else{
            result[key]=obj[key];
        }
    }
    return result;
}

//判断对象的数据类型
function isClass(o){
    if(o===null) return "Null";
    if(o===undefined) return "Undefined";
    return Object.prototype.toString.call(o).slice(8,-1);
}
/**
 * 构造函数
 *
 * @param {String|HTMLElement|ol.Map} obj
 * @param {echarts} ec
 * @constructor
 */
function EchartLayer(map,ec) {
    this._map=map;
    var size = map.getSize();
    var div = this._echartsContainer = document.createElement('div');
    div.style.position = 'absolute';
    div.style.height = size[1] + 'px';
    div.style.width = size[0] + 'px';
    div.style.top = 0;
    div.style.left = 0;
    map.getViewport().appendChild(div);
    this._init(map,ec);
};

/**
 * echarts 容器元素
 *
 * @type {HTMLElement}
 * @private
 */
EchartLayer.prototype._echartsContainer = null;

/**
 * ol地图实例
 *
 * @type {BMap.Map}
 * @private
 */
EchartLayer.prototype._map = null;

/**
 * 使用的echarts实例
 *
 * @type {ECharts}
 * @private
 */
EchartLayer.prototype._ec = null;

/**
 * geoCoord
 *
 * @type {Object}
 * @private
 */
EchartLayer.prototype._geoCoord = [];

/**
 * 记录地图的便宜量
 *
 * @type {Array.<number>}
 * @private
 */
EchartLayer.prototype._mapOffset = [0, 0];


/**
 * 初始化方法
 *
 * @param {String|HTMLElement|ol.Map} obj
 * @param {BMap} BMap
 * @param {echarts} ec
 * @private
 */
EchartLayer.prototype._init = function (map,ec) {
    var self = this;
    self._map = map;

    /**
     * 获取echarts容器
     *
     * @return {HTMLElement}
     * @public
     */
    self.getEchartsContainer = function () {
        return self._echartsContainer;
    };

    /**
     * 获取map实例
     *
     * @return {BMap.Map}
     * @public
     */
    self.getMap = function () {
        return self._map;
    }



    /**
     * 经纬度转换为屏幕像素
     *
     * @param {Array.<number>} geoCoord  经纬度
     * @return {Array.<number>}
     * @public
     */
    self.geoCoord2Pixel = function (geoCoord) {
        return self._map.getPixelFromCoordinate(ol.proj.fromLonLat(geoCoord));
    };

    /**
     * 屏幕像素转换为经纬度
     *
     * @param {Array.<number>} pixel  像素坐标
     * @return {Array.<number>}
     * @public
     */
    self.pixel2GeoCoord = function (pixel) {
        return self._map.getCoordinateFromPixel(pixel);

    };

    /**
     * 初始化echarts实例
     *
     * @return {ECharts}
     * @public
     */
    self.initECharts = function () {
        self._ec = ec.init.apply(self, arguments);
        self._bindEvent();
        self._addMarkWrap();
        return self._ec;
    };

    // addMark wrap for get position from baidu map by geo location
    // by kener at 2015.01.08
    self._addMarkWrap = function () {
        function _addMark(seriesIdx, markData, markType) {
            if (markType == 'markPoint') {
                var data = markData.data;
                if (data && data.length) {
                    for (var k = 0, len = data.length; k < len; k++) {
                        self._AddPos(data[k]);
                    }
                }
            }
            else {
                data = markData.data;
                if (data && data.length) {
                    for (var k = 0, len = data.length; k < len; k++) {
                        self._AddPos(data[k][0]);
                        self._AddPos(data[k][1]);
                    }
                }
            }
            self._ec._addMarkOri(seriesIdx, markData, markType);
        }

        self._ec._addMarkOri = self._ec._addMark;
        self._ec._addMark = _addMark;
    };

    /**
     * 获取ECharts实例
     *
     * @return {ECharts}
     * @public
     */
    self.getECharts = function () {
        return self._ec;
    };

    /**
     * 获取地图的偏移量
     *
     * @return {Array.<number>}
     * @public
     */
    self.getMapOffset = function () {
        return self._mapOffset;
    };

    /**
     * 对echarts的setOption加一次处理
     * 用来为markPoint、markLine中添加x、y坐标,需要name与geoCoord对应
     *
     * @param {Object}
     * @public
     */
    self.setOption = function (option, notMerge) {
        if(!option){
            return;
        }
        self._option = deepClone(option);
        var series = option.series || {};


        //data的数据类型[{name:"北京","value":[x,y,value]}],
        //将x,y转为屏幕坐标
        // var coordinates=option.series[0].data  || option.series || {};
        for(var i=0;i<series.length;i++){
            var iseries=series[i];
            var tempdata=iseries.data;
            var resultdata=[];
            if(tempdata){
                for(var j=0;j<tempdata.length;j++){
                    var  latlon=tempdata[j].value.slice(0,2);
                    var pixelcoordinates=self.geoCoord2Pixel(latlon);
                    var value=tempdata[j].value[2];
                    var resultValue=pixelcoordinates.push(value);
                    var item={"name":tempdata[j].name,"value":pixelcoordinates};
                    resultdata.push(item);
                }
                series[i].data=resultdata;
            }
        }
        // 记录所有的geoCoord
        /*  for (var i = 0, item; item = coordinates[i++];) {
         var geoCoord = item.geoCoord || item.value.slice(0,2);
         console.log(geoCoord);
         if (geoCoord) {
         self._geoCoord[item.name] = geoCoord;
         }
         }

         // 添加x、y
         for (var i = 0, item; item = series[i++];) {
         var markPoint = item.markPoint || {};
         var markLine = item.markLine || {};

         var data = markPoint.data;
         if (data && data.length) {
         for (var k = 0, len = data.length; k < len; k++) {
         self._AddPos(data[k]);
         }
         }

         data = markLine.data;
         if (data && data.length) {
         for (var k = 0, len = data.length; k < len; k++) {
         self._AddPos(data[k][0]);
         self._AddPos(data[k][1]);
         }
         }
         }*/
        //data
        option.series=series;
        self._ec.setOption(option, notMerge);
    };

    /**
     * 增加x、y坐标
     *
     * @param {Object} obj  markPoint、markLine data中的项,必须有name
     * @param {Object} geoCoord
     */
    self._AddPos = function (obj) {
        var coord = this._geoCoord[obj.name];
        var pos = this.geoCoord2Pixel(coord);
        obj.x = pos[0] ;//- self._mapOffset[0];
        obj.y = pos[1] ;//- self._mapOffset[1];
    };

    /**
     * 绑定地图事件的处理方法
     *
     * @private
     */
    self._bindEvent = function () {
        //self._map.getView().on('change:resolution', _zoomChangeHandler('zoom'));
       /* self._map.getView().on('change:center', _moveHandler('moving'));
        self._map.on('moveend', _moveHandler('moveend'));
        self._ec.getZr().on('dragstart', _dragZrenderHandler(true));
        self._ec.getZr().on('dragend', _dragZrenderHandler(false));*/

        self._map.getView().on('change:resolution', function (e) {
           self.setOption(self._option);
        });
        self._map.on('moveend', function (e) {
            self._echartsContainer.style.display='block';
            self.setOption(self._option);
        });
        self._map.on('movestart', function (e) {
            self._echartsContainer.style.display='none';
        });
    }

    /**
     * 地图缩放触发事件
     *
     * @private
     */
    function _zoomChangeHandler(type) {
        _fireEvent(type);
    }

    /**
     * 地图移动、如拖拽触发事件
     *
     * @param {string} type moving | moveend  移动中|移动结束
     * @return {Function}
     * @private
     */
    function _moveHandler(type) {
        return function (e) {
            // 记录偏移量
            var offsetEle =
                self._echartsContainer.parentNode.parentNode.parentNode;
            self._mapOffset = [
                -parseInt(offsetEle.style.left) || 0,
                -parseInt(offsetEle.style.top) || 0
            ];
            self._echartsContainer.style.left = self._mapOffset[0] + 'px';
            self._echartsContainer.style.top = self._mapOffset[1] + 'px';
            _fireEvent(type);
        }
    }

    /**
     * Zrender拖拽触发事件
     *
     * @param {boolean} isStart
     * @return {Function}
     * @private
     */
    function _dragZrenderHandler(isStart) {
        return function () {
            self._map.dragging = isStart;
        }
    }

    /**
     * 触发事件
     *
     * @param {stirng}  type 事件类型
     * @private
     */
    function _fireEvent(type) {
        var func = self['on' + type];
        if (func) {
            func();
        } else {
            self.refresh();
        }
    }

    /**
     * 刷新页面
     *
     * @public
     */
    self.refresh = function () {
        if (self._ec) {
            var option = self._ec.getOption();
            var component = self._ec.component || {};
            var legend = component.legend;
            var dataRange = component.dataRange;

            if (legend) {
                option.legend.selected = legend.getSelectedMap();
            }

            if (dataRange) {
                option.dataRange.range = dataRange._range;
            }
            self._ec.clear();
            self.setOption(option);
        }
    };
    return EchartLayer;
}

调用示例:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>ol3-Echarts</title>
    <style>
        html, body, #map {
            height: 100%;
            padding: 0;
            margin: 0;
            background-color: #0f0f0f;
        }
    </style>
    <link rel="stylesheet" href="plugin/ol3/ol.css" type="text/css">

</head>
<body>
<div id="map">
</div>
<script src="plugin/ol3/ol.js"></script>
<script src="js/main.js"></script>
<script src="plugin/jquery-2.1.1.min.js"></script>
<script src="plugin/echarts.min-3.2.3.js"></script>
<script src="js/EchartLayer.js"></script>
<script>
    $(document).ready(function () {
        var map = new ol.Map({
            target: 'map',
            controls: [],
            layers: [
                new ol.layer.Tile({
                 source: new ol.source.OSM()
                 })
               /* new ol.layer.Vector({
                    source:new ol.source.Vector({
                        url:'china_line.json',
                        format:new ol.format.GeoJSON()
                    })
                }),
                new ol.layer.Vector({
                    source:new ol.source.Vector({
                        url:'china.geojson',
                        format:new ol.format.GeoJSON()
                    })
                })*/
            ],
            view: new ol.View({
                center: [0, 0],
                zoom: 2
            })
        })
        var data = [
            {name: '海门', value: 9},
            {name: '鄂尔多斯', value: 12},
            {name: '招远', value: 12},
            {name: '舟山', value: 12},
            {name: '齐齐哈尔', value: 14},
            {name: '盐城', value: 15},
            {name: '赤峰', value: 16},
            {name: '青岛', value: 18},
            {name: '乳山', value: 18},
            {name: '金昌', value: 19},
            {name: '泉州', value: 21},
            {name: '莱西', value: 21},
            {name: '日照', value: 21},
            {name: '胶南', value: 22},
            {name: '南通', value: 23},
            {name: '拉萨', value: 24},
            {name: '云浮', value: 24},
            {name: '梅州', value: 25},
            {name: '文登', value: 25},
            {name: '上海', value: 25},
            {name: '攀枝花', value: 25},
            {name: '威海', value: 25},
            {name: '承德', value: 25},
            {name: '厦门', value: 26},
            {name: '汕尾', value: 26},
            {name: '潮州', value: 26},
            {name: '丹东', value: 27},
            {name: '太仓', value: 27},
            {name: '曲靖', value: 27},
            {name: '烟台', value: 28},
            {name: '福州', value: 29},
            {name: '瓦房店', value: 30},
            {name: '即墨', value: 30},
            {name: '抚顺', value: 31},
            {name: '玉溪', value: 31},
            {name: '张家口', value: 31},
            {name: '阳泉', value: 31},
            {name: '莱州', value: 32},
            {name: '湖州', value: 32},
            {name: '汕头', value: 32},
            {name: '昆山', value: 33},
            {name: '宁波', value: 33},
            {name: '湛江', value: 33},
            {name: '揭阳', value: 34},
            {name: '荣成', value: 34},
            {name: '连云港', value: 35},
            {name: '葫芦岛', value: 35},
            {name: '常熟', value: 36},
            {name: '东莞', value: 36},
            {name: '河源', value: 36},
            {name: '淮安', value: 36},
            {name: '泰州', value: 36},
            {name: '南宁', value: 37},
            {name: '营口', value: 37},
            {name: '惠州', value: 37},
            {name: '江阴', value: 37},
            {name: '蓬莱', value: 37},
            {name: '韶关', value: 38},
            {name: '嘉峪关', value: 38},
            {name: '广州', value: 38},
            {name: '延安', value: 38},
            {name: '太原', value: 39},
            {name: '清远', value: 39},
            {name: '中山', value: 39},
            {name: '昆明', value: 39},
            {name: '寿光', value: 40},
            {name: '盘锦', value: 40},
            {name: '长治', value: 41},
            {name: '深圳', value: 41},
            {name: '珠海', value: 42},
            {name: '宿迁', value: 43},
            {name: '咸阳', value: 43},
            {name: '铜川', value: 44},
            {name: '平度', value: 44},
            {name: '佛山', value: 44},
            {name: '海口', value: 44},
            {name: '江门', value: 45},
            {name: '章丘', value: 45},
            {name: '肇庆', value: 46},
            {name: '大连', value: 47},
            {name: '临汾', value: 47},
            {name: '吴江', value: 47},
            {name: '石嘴山', value: 49},
            {name: '沈阳', value: 50},
            {name: '苏州', value: 50},
            {name: '茂名', value: 50},
            {name: '嘉兴', value: 51},
            {name: '长春', value: 51},
            {name: '胶州', value: 52},
            {name: '银川', value: 52},
            {name: '张家港', value: 52},
            {name: '三门峡', value: 53},
            {name: '锦州', value: 54},
            {name: '南昌', value: 54},
            {name: '柳州', value: 54},
            {name: '三亚', value: 54},
            {name: '自贡', value: 56},
            {name: '吉林', value: 56},
            {name: '阳江', value: 57},
            {name: '泸州', value: 57},
            {name: '西宁', value: 57},
            {name: '宜宾', value: 58},
            {name: '呼和浩特', value: 58},
            {name: '成都', value: 58},
            {name: '大同', value: 58},
            {name: '镇江', value: 59},
            {name: '桂林', value: 59},
            {name: '张家界', value: 59},
            {name: '宜兴', value: 59},
            {name: '北海', value: 60},
            {name: '西安', value: 61},
            {name: '金坛', value: 62},
            {name: '东营', value: 62},
            {name: '牡丹江', value: 63},
            {name: '遵义', value: 63},
            {name: '绍兴', value: 63},
            {name: '扬州', value: 64},
            {name: '常州', value: 64},
            {name: '潍坊', value: 65},
            {name: '重庆', value: 66},
            {name: '台州', value: 67},
            {name: '南京', value: 67},
            {name: '滨州', value: 70},
            {name: '贵阳', value: 71},
            {name: '无锡', value: 71},
            {name: '本溪', value: 71},
            {name: '克拉玛依', value: 72},
            {name: '渭南', value: 72},
            {name: '马鞍山', value: 72},
            {name: '宝鸡', value: 72},
            {name: '焦作', value: 75},
            {name: '句容', value: 75},
            {name: '北京', value: 79},
            {name: '徐州', value: 79},
            {name: '衡水', value: 80},
            {name: '包头', value: 80},
            {name: '绵阳', value: 80},
            {name: '乌鲁木齐', value: 84},
            {name: '枣庄', value: 84},
            {name: '杭州', value: 84},
            {name: '淄博', value: 85},
            {name: '鞍山', value: 86},
            {name: '溧阳', value: 86},
            {name: '库尔勒', value: 86},
            {name: '安阳', value: 90},
            {name: '开封', value: 90},
            {name: '济南', value: 92},
            {name: '德阳', value: 93},
            {name: '温州', value: 95},
            {name: '九江', value: 96},
            {name: '邯郸', value: 98},
            {name: '临安', value: 99},
            {name: '兰州', value: 99},
            {name: '沧州', value: 100},
            {name: '临沂', value: 103},
            {name: '南充', value: 104},
            {name: '天津', value: 105},
            {name: '富阳', value: 106},
            {name: '泰安', value: 112},
            {name: '诸暨', value: 112},
            {name: '郑州', value: 113},
            {name: '哈尔滨', value: 114},
            {name: '聊城', value: 116},
            {name: '芜湖', value: 117},
            {name: '唐山', value: 119},
            {name: '平顶山', value: 119},
            {name: '邢台', value: 119},
            {name: '德州', value: 120},
            {name: '济宁', value: 120},
            {name: '荆州', value: 127},
            {name: '宜昌', value: 130},
            {name: '义乌', value: 132},
            {name: '丽水', value: 133},
            {name: '洛阳', value: 134},
            {name: '秦皇岛', value: 136},
            {name: '株洲', value: 143},
            {name: '石家庄', value: 147},
            {name: '莱芜', value: 148},
            {name: '常德', value: 152},
            {name: '保定', value: 153},
            {name: '湘潭', value: 154},
            {name: '金华', value: 157},
            {name: '岳阳', value: 169},
            {name: '长沙', value: 175},
            {name: '衢州', value: 177},
            {name: '廊坊', value: 193},
            {name: '菏泽', value: 194},
            {name: '合肥', value: 229},
            {name: '武汉', value: 273},
            {name: '大庆', value: 279}
        ];
        var geoCoordMap = {
            '海门':[121.15,31.89],
            '鄂尔多斯':[109.781327,39.608266],
            '招远':[120.38,37.35],
            '舟山':[122.207216,29.985295],
            '齐齐哈尔':[123.97,47.33],
            '盐城':[120.13,33.38],
            '赤峰':[118.87,42.28],
            '青岛':[120.33,36.07],
            '乳山':[121.52,36.89],
            '金昌':[102.188043,38.520089],
            '泉州':[118.58,24.93],
            '莱西':[120.53,36.86],
            '日照':[119.46,35.42],
            '胶南':[119.97,35.88],
            '南通':[121.05,32.08],
            '拉萨':[91.11,29.97],
            '云浮':[112.02,22.93],
            '梅州':[116.1,24.55],
            '文登':[122.05,37.2],
            '上海':[121.48,31.22],
            '攀枝花':[101.718637,26.582347],
            '威海':[122.1,37.5],
            '承德':[117.93,40.97],
            '厦门':[118.1,24.46],
            '汕尾':[115.375279,22.786211],
            '潮州':[116.63,23.68],
            '丹东':[124.37,40.13],
            '太仓':[121.1,31.45],
            '曲靖':[103.79,25.51],
            '烟台':[121.39,37.52],
            '福州':[119.3,26.08],
            '瓦房店':[121.979603,39.627114],
            '即墨':[120.45,36.38],
            '抚顺':[123.97,41.97],
            '玉溪':[102.52,24.35],
            '张家口':[114.87,40.82],
            '阳泉':[113.57,37.85],
            '莱州':[119.942327,37.177017],
            '湖州':[120.1,30.86],
            '汕头':[116.69,23.39],
            '昆山':[120.95,31.39],
            '宁波':[121.56,29.86],
            '湛江':[110.359377,21.270708],
            '揭阳':[116.35,23.55],
            '荣成':[122.41,37.16],
            '连云港':[119.16,34.59],
            '葫芦岛':[120.836932,40.711052],
            '常熟':[120.74,31.64],
            '东莞':[113.75,23.04],
            '河源':[114.68,23.73],
            '淮安':[119.15,33.5],
            '泰州':[119.9,32.49],
            '南宁':[108.33,22.84],
            '营口':[122.18,40.65],
            '惠州':[114.4,23.09],
            '江阴':[120.26,31.91],
            '蓬莱':[120.75,37.8],
            '韶关':[113.62,24.84],
            '嘉峪关':[98.289152,39.77313],
            '广州':[113.23,23.16],
            '延安':[109.47,36.6],
            '太原':[112.53,37.87],
            '清远':[113.01,23.7],
            '中山':[113.38,22.52],
            '昆明':[102.73,25.04],
            '寿光':[118.73,36.86],
            '盘锦':[122.070714,41.119997],
            '长治':[113.08,36.18],
            '深圳':[114.07,22.62],
            '珠海':[113.52,22.3],
            '宿迁':[118.3,33.96],
            '咸阳':[108.72,34.36],
            '铜川':[109.11,35.09],
            '平度':[119.97,36.77],
            '佛山':[113.11,23.05],
            '海口':[110.35,20.02],
            '江门':[113.06,22.61],
            '章丘':[117.53,36.72],
            '肇庆':[112.44,23.05],
            '大连':[121.62,38.92],
            '临汾':[111.5,36.08],
            '吴江':[120.63,31.16],
            '石嘴山':[106.39,39.04],
            '沈阳':[123.38,41.8],
            '苏州':[120.62,31.32],
            '茂名':[110.88,21.68],
            '嘉兴':[120.76,30.77],
            '长春':[125.35,43.88],
            '胶州':[120.03336,36.264622],
            '银川':[106.27,38.47],
            '张家港':[120.555821,31.875428],
            '三门峡':[111.19,34.76],
            '锦州':[121.15,41.13],
            '南昌':[115.89,28.68],
            '柳州':[109.4,24.33],
            '三亚':[109.511909,18.252847],
            '自贡':[104.778442,29.33903],
            '吉林':[126.57,43.87],
            '阳江':[111.95,21.85],
            '泸州':[105.39,28.91],
            '西宁':[101.74,36.56],
            '宜宾':[104.56,29.77],
            '呼和浩特':[111.65,40.82],
            '成都':[104.06,30.67],
            '大同':[113.3,40.12],
            '镇江':[119.44,32.2],
            '桂林':[110.28,25.29],
            '张家界':[110.479191,29.117096],
            '宜兴':[119.82,31.36],
            '北海':[109.12,21.49],
            '西安':[108.95,34.27],
            '金坛':[119.56,31.74],
            '东营':[118.49,37.46],
            '牡丹江':[129.58,44.6],
            '遵义':[106.9,27.7],
            '绍兴':[120.58,30.01],
            '扬州':[119.42,32.39],
            '常州':[119.95,31.79],
            '潍坊':[119.1,36.62],
            '重庆':[106.54,29.59],
            '台州':[121.420757,28.656386],
            '南京':[118.78,32.04],
            '滨州':[118.03,37.36],
            '贵阳':[106.71,26.57],
            '无锡':[120.29,31.59],
            '本溪':[123.73,41.3],
            '克拉玛依':[84.77,45.59],
            '渭南':[109.5,34.52],
            '马鞍山':[118.48,31.56],
            '宝鸡':[107.15,34.38],
            '焦作':[113.21,35.24],
            '句容':[119.16,31.95],
            '北京':[116.46,39.92],
            '徐州':[117.2,34.26],
            '衡水':[115.72,37.72],
            '包头':[110,40.58],
            '绵阳':[104.73,31.48],
            '乌鲁木齐':[87.68,43.77],
            '枣庄':[117.57,34.86],
            '杭州':[120.19,30.26],
            '淄博':[118.05,36.78],
            '鞍山':[122.85,41.12],
            '溧阳':[119.48,31.43],
            '库尔勒':[86.06,41.68],
            '安阳':[114.35,36.1],
            '开封':[114.35,34.79],
            '济南':[117,36.65],
            '德阳':[104.37,31.13],
            '温州':[120.65,28.01],
            '九江':[115.97,29.71],
            '邯郸':[114.47,36.6],
            '临安':[119.72,30.23],
            '兰州':[103.73,36.03],
            '沧州':[116.83,38.33],
            '临沂':[118.35,35.05],
            '南充':[106.110698,30.837793],
            '天津':[117.2,39.13],
            '富阳':[119.95,30.07],
            '泰安':[117.13,36.18],
            '诸暨':[120.23,29.71],
            '郑州':[113.65,34.76],
            '哈尔滨':[126.63,45.75],
            '聊城':[115.97,36.45],
            '芜湖':[118.38,31.33],
            '唐山':[118.02,39.63],
            '平顶山':[113.29,33.75],
            '邢台':[114.48,37.05],
            '德州':[116.29,37.45],
            '济宁':[116.59,35.38],
            '荆州':[112.239741,30.335165],
            '宜昌':[111.3,30.7],
            '义乌':[120.06,29.32],
            '丽水':[119.92,28.45],
            '洛阳':[112.44,34.7],
            '秦皇岛':[119.57,39.95],
            '株洲':[113.16,27.83],
            '石家庄':[114.48,38.03],
            '莱芜':[117.67,36.19],
            '常德':[111.69,29.05],
            '保定':[115.48,38.85],
            '湘潭':[112.91,27.87],
            '金华':[119.64,29.12],
            '岳阳':[113.09,29.37],
            '长沙':[113,28.21],
            '衢州':[118.88,28.97],
            '廊坊':[116.7,39.53],
            '菏泽':[115.480656,35.23375],
            '合肥':[117.27,31.86],
            '武汉':[114.31,30.52],
            '大庆':[125.03,46.58]
        };
        var option = {
            title: {
                text: '全国主要城市空气质量',
                subtext: 'data from PM25.in',
                sublink: 'http://www.pm25.in',
                left: 'center',
                textStyle: {
                    color: '#fff'
                }
            },
            tooltip : {
                trigger: 'item'
            },
            legend: {
                orient: 'vertical',
                y: 'bottom',
                x:'right',
                data:['pm2.5'],
                textStyle: {
                    color: '#fff'
                }
            },
            geo: {
                map: '',
                label: {
                    emphasis: {
                        show: false
                    }
                },
                roam: true,
                itemStyle: {
                    normal: {
                        areaColor: '#323c48',
                        borderColor: '#111'
                    },
                    emphasis: {
                        areaColor: '#2a333d'
                    }
                }
            },
            series : [
                {
                    name: 'pm2.5',
                    type: 'scatter',
                    coordinateSystem: 'geo',
                    data: convertData(),
                    symbolSize: function (val) {
                        return val[2] / 10;
                    },
                    label: {
                        normal: {
                            formatter: '{b}',
                            position: 'right',
                            show: false
                        },
                        emphasis: {
                            show: true
                        }
                    },
                    itemStyle: {
                        normal: {
                            color: '#ddb926'
                        }
                    }
                },
                {
                    name: 'Top 5',
                    type: 'effectScatter',
                    coordinateSystem: 'geo',
                    data: convertData2(),
                    symbolSize: function (val) {
                        return val[2] / 10;
                    },
                    showEffectOn: 'render',
                    rippleEffect: {
                        brushType: 'stroke'
                    },
                    hoverAnimation: true,
                    label: {
                        normal: {
                            formatter: '{b}',
                            position: 'right',
                            show: true
                        }
                    },
                    itemStyle: {
                        normal: {
                            color: '#f4e925',
                            shadowBlur: 10,
                            shadowColor: '#333'
                        }
                    },
                    zlevel: 1
                }
            ]
        };
       // chart.setOption(option);

        //将地图坐标与值结合
        function convertData() {
            var res=[];
            for(var i=0;i<data.length;i++){
                var singledata=data[i];
                var geoCoord=geoCoordMap[data[i].name];
                if(geoCoord){
                    res.push({
                        name:data[i].name,
                        value:geoCoord.concat(data[i].value)
                    });
                }
            }
            return res;
        }
        function convertData2() {
            var res=[];
            var tempdata=data.sort(function (a, b) {
                return b.value - a.value;
            }).slice(0, 6);
            for(var i=0;i<tempdata.length;i++){
                var singledata=tempdata[i];
                var geoCoord=geoCoordMap[singledata.name];
                if(geoCoord){
                    res.push({
                        name:data[i].name,
                        value:geoCoord.concat(singledata.value)
                    });
                }
            }
            return res;
        }
       // window.onresize = chart.resize;

         var olMapExt;
         map.once('postrender', function (e) {
             if (olMapExt !== undefined)
                return;
             olMapExt = new EchartLayer(map, echarts);
             var container = olMapExt.getEchartsContainer();
             var myChart = olMapExt.initECharts(container);
             window.onresize = myChart.resize;
             olMapExt.setOption(option, true);

             // var chart = echarts.init(container);
             //chart.setOption(option);
         });
    });

</script>
</body>
</html>

转载自:https://blog.csdn.net/u011394175/article/details/81075113

You may also like...

退出移动版