/*
title: Air Quality - Baidu Map
category: 'scatter, map'
tags: bmap
titleCN: 全国主要城市空气质量 - 百度地图
difficulty: 10
*/

interface DataItem {
  name: string;
  value: number;
}

const data: DataItem[] = [
  { 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 }
];
const geoCoordMap: Record<string, number[]> = {
  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]
};

const convertData = function (data: DataItem[]) {
  var res = [];
  for (var i = 0; i < data.length; i++) {
    var geoCoord = geoCoordMap[data[i].name];
    if (geoCoord) {
      res.push({
        name: data[i].name,
        value: geoCoord.concat(data[i].value)
      });
    }
  }
  return res;
};

option = {
  backgroundColor: 'transparent',
  title: {
    text: '全国主要城市空气质量 - 百度地图',
    subtext: 'data from PM25.in',
    sublink: 'http://www.pm25.in',
    left: 'center'
  },
  tooltip: {
    trigger: 'item'
  },
  bmap: {
    center: [104.114129, 37.550339],
    zoom: 5,
    roam: true,
    mapStyle: {
      styleJson: [
        {
          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: '#fefefe'
          }
        },
        {
          featureType: 'building',
          elementType: 'all',
          stylers: {
            color: '#d1d1d1'
          }
        },
        {
          featureType: 'label',
          elementType: 'labels.text.fill',
          stylers: {
            color: '#999999'
          }
        }
      ]
    }
  },
  series: [
    {
      name: 'pm2.5',
      type: 'scatter',
      coordinateSystem: 'bmap',
      data: convertData(data),
      symbolSize: function (val) {
        return val[2] / 10;
      },
      encode: {
        value: 2
      },
      label: {
        formatter: '{b}',
        position: 'right',
        show: false
      },
      emphasis: {
        label: {
          show: true
        }
      }
    },
    {
      name: 'Top 5',
      type: 'effectScatter',
      coordinateSystem: 'bmap',
      data: convertData(
        data
          .sort(function (a, b) {
            return b.value - a.value;
          })
          .slice(0, 6)
      ),
      symbolSize: function (val) {
        return val[2] / 10;
      },
      encode: {
        value: 2
      },
      showEffectOn: 'render',
      rippleEffect: {
        brushType: 'stroke'
      },
      label: {
        formatter: '{b}',
        position: 'right',
        show: true
      },
      itemStyle: {
        shadowBlur: 10,
        shadowColor: '#333'
      },
      emphasis: {
        scale: true
      },
      zlevel: 1
    }
  ]
};

export {};