LargeScreenVisualization/viewdata-master/新增75套源码/19/js/area_echarts.js

/*   */
$.getJSON('js/map.json', function(data){
 	$.each(data, function (infoIndex, info){
     	var city = info.children;
 		for(var i =0;i<city.length;i++){
			var citydetail = new Array();
 			var name = city[i].name;
 			geoCoordMap[name]= citydetail;
 			var lat = parseFloat(city[i].lat);
 			var log = parseFloat(city[i].log);
 			citydetail.push(log);
 			citydetail.push(lat);
 		}
      }) 
     map_1_option.series[0].data = convertData(data2.sort(function (a, b) {
                return b.value - a.value;
            })),
/*            }).slice(0, 6)),
*/     map_1.setOption(map_1_option);
});


var geoCoordMap = {
	
};

var data2 = [
				    {name: '商丘', 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 convertData = function (data) {
    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;
};
//地图容器
var map_1 = echarts.init(document.getElementById('map_1'));
//地图容器
//34个省、市、自治区的名字拼音映射数组


//网络零售当期分布
var map_1_option = {

/*    title: {
        text: '全国主要城市空气质量',
        subtext: 'data from PM25.in',
        left: 'center',
        textStyle: {
            color: '#fff'
        }
    },*/
	 grid: {
        top: '0',
        left: '0',
        right: '0',
        bottom: '0',
        containLabel: true
    },
	
    tooltip : {
        trigger: 'item'
    },
/*    legend: {
        orient: 'vertical',
        y: 'bottom',
        x:'right',
        data:['pm2.5'],
        textStyle: {
            color: '#fff'
        }
    },*/
    geo: {
        map: 'china',
        label: {
            emphasis: {
                show: false
            }
        },
        roam: false,
        itemStyle: {
            normal: {
                areaColor: '#4c60ff',
                borderColor: '#000f4c',
            },
            emphasis: {
                areaColor: '#293fff'
            }
        }
    },

    series : [
    {
            name: 'pm2.5',
            type: 'scatter',
            coordinateSystem: 'geo',
            data: convertData(data2),
            symbolSize: function (val) {
                return val[2] / 20;
            },
            label: {
                normal: {
                    formatter: '{b}',
                    position: 'right',
                    show: false
                },
                emphasis: {
                    show: true
                }
            },
            itemStyle: {
                normal: {
                    color: '#ecf500'
                }
            }
        },
        {
            name: 'Top 5',
            type: 'effectScatter',
            coordinateSystem: 'geo',
            symbolSize: function (val) {
                return val[2] / 10;
            },
            showEffectOn: 'render',
            rippleEffect: {
                brushType: 'stroke'
            },
            hoverAnimation: true,
/*            label: {
                normal: {
                    formatter: '{b}',
                    position: 'right',
                    show: true,
                    color:'#333'
                },
                emphasis:{
                	color:'#333'
                }
            },*/
            itemStyle: {
                normal: {
                    color: '#f75749',
                    shadowBlur: 10,
                    shadowColor: '#333'
                }
            },
            zlevel: 1
        }
    ]
	
    };
$(document).ready(function(){
	　　map_1.resize();  
	
})
window.addEventListener("resize", function () {
　　map_1.resize();  
});