百度地图Echarts多图形添加echarts effectScatter配置项内容和展示

百度地图Echarts多图形添加

配置项如下
      

var startPoint = {
        x: 104.114129,
        y: 37.550339
    };
    // 地图自定义样式
    var bmap = {
        center: [startPoint.x, startPoint.y],
        zoom: 5,
        roam: true,
        mapStyle: {
           whiteBlak:[{
            'featureType': 'water',
            'elementType': 'all',
            'stylers': {
                'color': '#d1d1d1'
            }
        }, {
            'featureType': 'land',
            'elementType': 'all',
            'stylers': {
                'color': '#f3f3f3'
            }
        }, {
            'featureType': 'railway',
            'elementType': 'all',
            'stylers': {
                'visibility': 'off'
            }
        }, {
            'featureType': 'highway',
            'elementType': 'all',
            'stylers': {
                'color': '#fdfdfd'
            }
        }, {
            'featureType': 'highway',
            'elementType': 'labels',
            'stylers': {
                'visibility': 'off'
            }
        }, {
            'featureType': 'arterial',
            'elementType': 'geometry',
            'stylers': {
                'color': '#fefefe'
            }
        }, {
            'featureType': 'arterial',
            'elementType': 'geometry.fill',
            'stylers': {
                'color': '#fefefe'
            }
        }, {
            'featureType': 'poi',
            'elementType': 'all',
            'stylers': {
                'visibility': 'off'
            }
        }, {
            'featureType': 'green',
            'elementType': 'all',
            'stylers': {
                'visibility': 'off'
            }
        }, {
            'featureType': 'subway',
            'elementType': 'all',
            'stylers': {
                'visibility': 'off'
            }
        }, {
            'featureType': 'manmade',
            'elementType': 'all',
            'stylers': {
                'color': '#d1d1d1'
            }
        }, {
            'featureType': 'local',
            'elementType': 'all',
            'stylers': {
                'color': '#d1d1d1'
            }
        }, {
            'featureType': 'arterial',
            'elementType': 'labels',
            'stylers': {
                'visibility': 'off'
            }
        }, {
            'featureType': 'boundary',
            'elementType': 'all',
            'stylers': {
                'color': '#13313c'
            }
        }, {
            'featureType': 'building',
            'elementType': 'all',
            'stylers': {
                'color': '#d1d1d1'
            }
        }, {
            'featureType': 'label',
            'elementType': 'labels.text.fill',
            'stylers': {
                "visibility": "off"
            }
        }],
        }
    }

    var geoCoordMap = {
        '上海': [121.4648, 31.2891],
        '东莞': [113.8953, 22.901],
        '东营': [118.7073, 37.5513],
        '中山': [113.4229, 22.478],
        '临汾': [111.4783, 36.1615],
        '临沂': [118.3118, 35.2936],
        '丹东': [124.541, 40.4242],
        '丽水': [119.5642, 28.1854],
        '乌鲁木齐': [87.9236, 43.5883],
        '佛山': [112.8955, 23.1097],
        '保定': [115.0488, 39.0948],
        '兰州': [103.5901, 36.3043],
        '包头': [110.3467, 41.4899],
        '北京': [116.4551, 40.2539],
        '北海': [109.314, 21.6211],
        '南京': [118.8062, 31.9208],
        '南宁': [108.479, 23.1152],
        '南昌': [116.0046, 28.6633],
        '南通': [121.1023, 32.1625],
        '厦门': [118.1689, 24.6478],
        '台州': [121.1353, 28.6688],
        '合肥': [117.29, 32.0581],
        '呼和浩特': [111.4124, 40.4901],
        '咸阳': [108.4131, 34.8706],
        '哈尔滨': [127.9688, 45.368],
        '唐山': [118.4766, 39.6826],
        '嘉兴': [120.9155, 30.6354],
        '大同': [113.7854, 39.8035],
        '大连': [122.2229, 39.4409],
        '天津': [117.4219, 39.4189],
        '太原': [112.3352, 37.9413],
        '威海': [121.9482, 37.1393],
        '宁波': [121.5967, 29.6466],
        '宝鸡': [107.1826, 34.3433],
        '宿迁': [118.5535, 33.7775],
        '常州': [119.4543, 31.5582],
        '广州': [113.5107, 23.2196],
        '廊坊': [116.521, 39.0509],
        '延安': [109.1052, 36.4252],
        '张家口': [115.1477, 40.8527],
        '徐州': [117.5208, 34.3268],
        '德州': [116.6858, 37.2107],
        '惠州': [114.6204, 23.1647],
        '成都': [103.9526, 30.7617],
        '扬州': [119.4653, 32.8162],
        '承德': [117.5757, 41.4075],
        '拉萨': [91.1865, 30.1465],
        '无锡': [120.3442, 31.5527],
        '日照': [119.2786, 35.5023],
        '昆明': [102.9199, 25.4663],
        '杭州': [119.5313, 29.8773],
        '枣庄': [117.323, 34.8926],
        '柳州': [109.3799, 24.9774],
        '株洲': [113.5327, 27.0319],
        '武汉': [114.3896, 30.6628],
        '汕头': [117.1692, 23.3405],
        '江门': [112.6318, 22.1484],
        '沈阳': [123.1238, 42.1216],
        '沧州': [116.8286, 38.2104],
        '河源': [114.917, 23.9722],
        '泉州': [118.3228, 25.1147],
        '泰安': [117.0264, 36.0516],
        '泰州': [120.0586, 32.5525],
        '济南': [117.1582, 36.8701],
        '济宁': [116.8286, 35.3375],
        '海口': [110.3893, 19.8516],
        '淄博': [118.0371, 36.6064],
        '淮安': [118.927, 33.4039],
        '深圳': [114.5435, 22.5439],
        '清远': [112.9175, 24.3292],
        '温州': [120.498, 27.8119],
        '渭南': [109.7864, 35.0299],
        '湖州': [119.8608, 30.7782],
        '湘潭': [112.5439, 27.7075],
        '滨州': [117.8174, 37.4963],
        '潍坊': [119.0918, 36.524],
        '烟台': [120.7397, 37.5128],
        '玉溪': [101.9312, 23.8898],
        '珠海': [113.7305, 22.1155],
        '盐城': [120.2234, 33.5577],
        '盘锦': [121.9482, 41.0449],
        '石家庄': [114.4995, 38.1006],
        '福州': [119.4543, 25.9222],
        '秦皇岛': [119.2126, 40.0232],
        '绍兴': [120.564, 29.7565],
        '聊城': [115.9167, 36.4032],
        '肇庆': [112.1265, 23.5822],
        '舟山': [122.2559, 30.2234],
        '苏州': [120.6519, 31.3989],
        '莱芜': [117.6526, 36.2714],
        '菏泽': [115.6201, 35.2057],
        '营口': [122.4316, 40.4297],
        '葫芦岛': [120.1575, 40.578],
        '衡水': [115.8838, 37.7161],
        '衢州': [118.6853, 28.8666],
        '西宁': [101.4038, 36.8207],
        '西安': [109.1162, 34.2004],
        '贵阳': [106.6992, 26.7682],
        '连云港': [119.1248, 34.552],
        '邢台': [114.8071, 37.2821],
        '邯郸': [114.4775, 36.535],
        '郑州': [113.4668, 34.6234],
        '鄂尔多斯': [108.9734, 39.2487],
        '重庆': [107.7539, 30.1904],
        '金华': [120.0037, 29.1028],
        '铜川': [109.0393, 35.1947],
        '银川': [106.3586, 38.1775],
        '镇江': [119.4763, 31.9702],
        '长春': [125.8154, 44.2584],
        '长沙': [113.0823, 28.2568],
        '长治': [112.8625, 36.4746],
        '阳泉': [113.4778, 38.0951],
        '青岛': [120.4651, 36.3373],
        '韶关': [113.7964, 24.7028]
    };

    var BJData = [
        [{
            name: '北京'
        }, {
            name: '上海',
            value: 95
        }],
        [{
            name: '北京'
        }, {
            name: '广州',
            value: 90
        }],
        [{
            name: '北京'
        }, {
            name: '大连',
            value: 80
        }],
        [{
            name: '北京'
        }, {
            name: '南宁',
            value: 70
        }],
        [{
            name: '北京'
        }, {
            name: '南昌',
            value: 60
        }],
        [{
            name: '北京'
        }, {
            name: '拉萨',
            value: 50
        }],
        [{
            name: '北京'
        }, {
            name: '长春',
            value: 40
        }],
        [{
            name: '北京'
        }, {
            name: '包头',
            value: 30
        }],
        [{
            name: '北京'
        }, {
            name: '重庆',
            value: 20
        }],
        [{
            name: '北京'
        }, {
            name: '常州',
            value: 10
        }]
    ];

    var SHData = [
        [{
            name: '上海'
        }, {
            name: '包头',
            value: 95
        }],
        [{
            name: '上海'
        }, {
            name: '昆明',
            value: 90
        }],
        [{
            name: '上海'
        }, {
            name: '广州',
            value: 80
        }],
        [{
            name: '上海'
        }, {
            name: '郑州',
            value: 70
        }],
        [{
            name: '上海'
        }, {
            name: '长春',
            value: 60
        }],
        [{
            name: '上海'
        }, {
            name: '重庆',
            value: 50
        }],
        [{
            name: '上海'
        }, {
            name: '长沙',
            value: 40
        }],
        [{
            name: '上海'
        }, {
            name: '北京',
            value: 30
        }],
        [{
            name: '上海'
        }, {
            name: '丹东',
            value: 20
        }],
        [{
            name: '上海'
        }, {
            name: '大连',
            value: 10
        }]
    ];

    var GZData = [
        [{
            name: '广州'
        }, {
            name: '福州',
            value: 95
        }],
        [{
            name: '广州'
        }, {
            name: '太原',
            value: 90
        }],
        [{
            name: '广州'
        }, {
            name: '长春',
            value: 80
        }],
        [{
            name: '广州'
        }, {
            name: '重庆',
            value: 70
        }],
        [{
            name: '广州'
        }, {
            name: '西安',
            value: 60
        }],
        [{
            name: '广州'
        }, {
            name: '成都',
            value: 50
        }],
        [{
            name: '广州'
        }, {
            name: '常州',
            value: 40
        }],
        [{
            name: '广州'
        }, {
            name: '北京',
            value: 30
        }],
        [{
            name: '广州'
        }, {
            name: '北海',
            value: 20
        }],
        [{
            name: '广州'
        }, {
            name: '海口',
            value: 10
        }]
    ];

    var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';

    var convertData = function(data) {
        var res = [];
        for (var i = 0; i < data.length; i++) {
            var dataItem = data[i];
            var fromCoord = geoCoordMap[dataItem[0].name];
            var toCoord = geoCoordMap[dataItem[1].name];
            if (fromCoord && toCoord) {
                res.push({
                    fromName: dataItem[0].name,
                    toName: dataItem[1].name,
                    coords: [fromCoord, toCoord]
                });
            }
        }
        return res;
    };

    var color = ['#a6c84c', '#ffa022', '#46bee9'];
    var series = [];
    [
        ['北京', BJData],
        ['上海', SHData],
        ['广州', GZData]
    ].forEach(function(item, i) {
        series.push({
            name: item[0] + ' Top10',
            type: 'effectScatter',
            coordinateSystem: 'bmap',
            zlevel: 2,
            rippleEffect: {
                brushType: 'stroke'
            },
            label: {
                normal: {
                    show: true,
                    position: 'right',
                    formatter: '{b}'
                }
            },
            symbolSize: function(val) {
                return val[2] / 4;
            },
            showEffectOn: 'render',
            itemStyle: {
                normal: {
                    color: color[i]
                }
            },
            data: [{
                name: item[0],
                value: geoCoordMap[item[0]].concat([100])
            }]
        }, {
            name: item[0] + ' Top10',
            type: 'lines',
            coordinateSystem: 'bmap',
            zlevel: 1,
            effect: {
                show: true,
                period: 6,
                trailLength: 0.7,
                color: '#fff',
                symbolSize: 3
            },
            lineStyle: {
                normal: {
                    color: color[i],
                    width: 0,
                    curveness: 0.2
                }
            },
            data: convertData(item[1])
        }, {
            name: item[0] + ' Top10',
            type: 'lines',
            coordinateSystem: 'bmap',
            zlevel: 2,
            effect: {
                show: true,
                period: 6,
                trailLength: 0,
                symbol: planePath,
                symbolSize: 15
            },
            lineStyle: {
                normal: {
                    color: color[i],
                    width: 1,
                    opacity: 0.4,
                    curveness: 0.2
                }
            },
            data: convertData(item[1])
        }, {
            name: item[0] + ' Top10',
            type: 'effectScatter',
            coordinateSystem: 'bmap',
            zlevel: 2,
            rippleEffect: {
                brushType: 'stroke'
            },
            label: {
                normal: {
                    show: true,
                    position: 'right',
                    formatter: '{b}'
                }
            },
            symbolSize: function(val) {
                return val[2] / 4;
            },
            showEffectOn: 'render',
            itemStyle: {
                normal: {
                    color: color[i]
                }
            },
            data: item[1].map(function(dataItem) {
                return {
                    name: dataItem[1].name,
                    value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
                };
            })
        });
    });


option = {
     bmap: bmap,
        color: ['gold', 'aqua', 'lime'],
        backgroundColor: '#404a59',
        title: {
            text: '模拟迁徙+百度地图',
            subtext: 'data-visual.cn',
            sublink:'http://data-visual.cn',
            left: 'center',
            textStyle: {
                color: '#fff'
            }
        },
        tooltip: {
            trigger: 'item'
        },
        legend: {
            orient: 'vertical',
            top: 'bottom',
            left: 'right',
            data: ['北京 Top10', '上海 Top10', '广州 Top10'],
            textStyle: {
                color: '#fff'
            },
            selectedMode: 'single'
        },
        geo: {
            map: 'bmap',
            polyline: true,
            progressiveThreshold: 500,
            progressive: 200,
            label: {
                emphasis: {
                    show: false
                }
            },
            roam: true,
            itemStyle: {
                normal: {
                    areaColor: '#323c48',
                    borderColor: '#404a59'
                },
                emphasis: {
                    areaColor: '#2a333d'
                }
            }
        },
        series: series
};

 //上面是迁徙图数据,下面是散点图


    var data1 = [
        { name: "上海", value: 29780},
        { name: "珠海", value: 2186},
        { name: "三亚", value: 1135},
        { name: "惠州", value: 1973},
        { name: "海口", value: 2568},
        { name: "合肥", value: 4039},
        { name: "南京", value: 6959},
        { name: "杭州", value: 5632},
        { name: "苏州", value: 6707},
        { name: "无锡", value: 3393},
        { name: "昆山", value: 1894},
        { name: "广州", value: 15769},
        { name: "深圳", value: 8259},
        { name: "佛山", value: 5741},
        { name: "东莞", value: 3030},
        { name: "福州", value: 4542},
        { name: "厦门", value: 3329},
        { name: "南宁", value: 3157},
        { name: "郑州", value: 6690},
        { name: "武汉", value: 8678},
        { name: "长沙", value: 5303},
        { name: "南昌", value: 3025},
        { name: "北京", value: 20259},
        { name: "长春", value: 3016},
        { name: "大连", value: 3202},
        { name: "沈阳", value: 4540},
        { name: "哈尔滨", value: 3141},
        { name: "天津", value: 8626},
        { name: "济南", value: 4361},
        { name: "青岛", value: 6667},
        { name: "太原", value: 4080},
        { name: "石家庄", value: 6137},
        { name: "西安", value: 6991},
        { name: "成都", value: 13873},
        { name: "重庆", value: 13283},
        { name: "昆明", value: 4633},


    ];

    var geoCoordMap1 = {
        "上海": [121.48, 31.22],
        "珠海": [113.52, 22.3],
        "三亚": [109.31, 18.14],
        "惠州": [114.4, 23.09],
        "海口": [110.35, 20.02],
        "合肥": [117.27, 31.86],
        "南京": [118.78, 32.04],
        "杭州": [120.19, 30.26],
        "苏州": [120.62, 31.32],
        "无锡": [120.29, 31.59],
        "昆山": [120.95, 31.39],
        "广州": [113.23, 23.16],
        "深圳": [114.07, 22.62],
        "佛山": [113.11, 23.05],
        "东莞": [113.75, 23.04],
        "福州": [119.3, 26.08],
        "厦门": [118.1, 24.46],
        "南宁": [108.33, 22.84],
        "郑州": [113.65, 34.76],
        "武汉": [114.31, 30.52],
        "长沙": [113, 28.21],
        "南昌": [115.89, 28.68],
        "北京": [116.46, 39.92],
        "长春": [125.35, 43.88],
        "大连": [121.62, 38.92],
        "沈阳": [123.38, 41.8],
        "哈尔滨": [126.63, 45.75],
        "天津": [117.2, 39.13],
        "济南": [117, 36.65],
        "青岛": [120.33, 36.07],
        "太原": [112.53, 37.87],
        "石家庄": [114.48, 38.03],
        "西安": [108.95, 34.27],
        "成都": [104.06, 30.67],
        "重庆": [106.54, 29.59],
        "昆明": [102.73, 25.04],
    };
    function convertData1 (data) {
        var res = [];
        for (var i = 0; i < data.length; i++) {
            var geoCoord = geoCoordMap1[data[i].name];
            if (geoCoord) {
                res.push({
                    name: data[i].name,
                    value: geoCoord.concat(data[i].value)
                });
            }
        }
        return res;
    };

    var dataMode=convertData1(data1);

    option.series.push({
            type: "effectScatter",
            coordinateSystem:"bmap",
            data: dataMode,
           symbol:'pin',
            symbolSize: function (val) {
                return Math.max(val[2] / 500, 8);
            },
        }
    );




    
截图如下