Graph on BMapecharts graph配置项内容和展示

在地理坐标系 测试关系图

配置项如下
      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]
};

function generate(data){
    var name=data.name;
    data.value=geoCoordMap[name].concat(data.value);
    data.itemStyle= {
            normal: {
                color:randomColor(),
                type: "solid"
            }
        }
    return data;
}

var orgdatas=[{
       "name": "上海",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},

{
       "name": "苏州",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},

{
       "name": "杭州",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},

{
       "name": "昆山",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},

{
       "name": "张家港",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},

{
       "name": "常熟",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},

{
       "name": "南通",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},

{
       "name": "宁波",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},


{
       "name": "嘉兴",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},


{
       "name": "无锡",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},
{
       "name": "常州",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},
{
       "name": "镇江",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

},
{
       "name": "南京",
       "symbolSize": 40,
       "draggable": "true",
       "value": 27

}];
        
var datas=orgdatas.map(function(data){
    return generate(data);
}) 

var links=[];

var org=orgdatas[0].name;

for(var i=1;i<orgdatas.length;i++){
    links.push({
         "source": org,
         "target":orgdatas[i].name
    })
}

option = {
    title: {
        text: "上海经济辐射",
        top: "top",
        left: "center"
    },
    tooltip: {},
    legend: [{
        formatter: function(name) {
            return echarts.format.truncateText(name, 40, '14px Microsoft Yahei', '…');
        },
        tooltip: {
            show: true
        },
        selectedMode: 'false',
        bottom: 20,
        data: ['刘备2239', '诸葛亮1892', '曹操979', '关羽948', '张飞408', '赵云393', '孙权390', '吕布384', '周瑜328', '魏延327']
    }],
    animationDuration: 3000,
    animationEasingUpdate: 'quinticInOut',
    bmap: {
        center: [121.48,31.22],
        zoom: 9,
        roam: true,
         mapStyle: {
              'styleJson': [
                {
                  'featureType': 'water',
                  'elementType': 'all',
                  'stylers': {
                    'color': '#031628'
                  }
                },
                {
                  'featureType': 'land',
                  'elementType': 'geometry',
                  'stylers': {
                    'color': '#000102'
                  }
                },
                {
                  'featureType': 'highway',
                  'elementType': 'all',
                  'stylers': {
                    'visibility': 'off'
                  }
                },
                {
                  'featureType': 'arterial',
                  'elementType': 'geometry.fill',
                  'stylers': {
                    'color': '#000000'
                  }
                },
                {
                  'featureType': 'arterial',
                  'elementType': 'geometry.stroke',
                  'stylers': {
                    'color': '#0b3d51'
                  }
                },
                {
                  'featureType': 'local',
                  'elementType': 'geometry',
                  'stylers': {
                    'color': '#000000'
                  }
                },
                {
                  'featureType': 'railway',
                  'elementType': 'geometry.fill',
                  'stylers': {
                    'color': '#000000'
                  }
                },
                {
                  'featureType': 'railway',
                  'elementType': 'geometry.stroke',
                  'stylers': {
                    'color': '#08304b'
                  }
                },
                {
                  'featureType': 'subway',
                  'elementType': 'geometry',
                  'stylers': {
                    'lightness': -70
                  }
                },
                {
                  'featureType': 'building',
                  'elementType': 'geometry.fill',
                  'stylers': {
                    'color': '#000000'
                  }
                },
                {
                  'featureType': 'all',
                  'elementType': 'labels.text.fill',
                  'stylers': {
                    'color': '#857f7f'
                  }
                },
                {
                  'featureType': 'all',
                  'elementType': 'labels.text.stroke',
                  'stylers': {
                    'color': '#000000'
                  }
                },
                {
                  'featureType': 'building',
                  'elementType': 'geometry',
                  'stylers': {
                    'color': '#022338'
                  }
                },
                {
                  'featureType': 'green',
                  'elementType': 'geometry',
                  'stylers': {
                    'color': '#062032'
                  }
                },
                {
                  'featureType': 'boundary',
                  'elementType': 'all',
                  'stylers': {
                    'color': '#465b6c'
                  }
                },
                {
                  'featureType': 'manmade',
                  'elementType': 'all',
                  'stylers': {
                    'color': '#022338'
                  }
                },
                {
                  'featureType': 'label',
                  'elementType': 'all',
                  'stylers': {
                    'visibility': 'off'
                  }
                }
              ]
            }
    },
    series: [{
        name: '上海经济辐射',
        type: 'graph',
        coordinateSystem: 'bmap',
        layout: 'force',
        force: {
            repulsion: 300
        },
        data: datas,
        links: links,
        focusNodeAdjacency: true,
        roam: true,
        label: {
            normal: {
                show: true,
                position: 'top',

            }
        },
        lineStyle: {
            normal: {
                color: 'red',
                // curveness: 0.3,
                type: "solid"
            }
        }
    }]
};
    
截图如下