ArcGIS地图结合eCharts 实现迁徙图

使用ArcGIS API for JavaScript, 以ArcGIS Server提供的服务为底图,实现eCharts的迁徙图。

效果如下:

ArcGIS地图结合eCharts 实现迁徙图_第1张图片

首先下载ArcGIS地图扩展,网址:https://github.com/wandergis/arcgis-echarts3

下载完成后,可以查看作者提供的example,里面有两个示例,但并未提供使用教程,而且实例可能并不能成功打开,这与我们的环境配置有关。

下面是实现迁徙图的具体步骤:

1.配置Echarts3Layer.js

将src文件夹拷贝至ArcGIS API for JavaScript配置路径下,为了便于引用,拷贝到与init.js处于同一级目录。笔者的路径为:D:\program\Web\webapps\arcgis_js_api\library\3.23\3.23,

ArcGIS地图结合eCharts 实现迁徙图_第2张图片

 

2.创建一个项目

创建一个项目,将ArcGIS扩展中的dist文件夹拷贝到项目文件夹中,在项目文件夹新建一个html文件。

3.引入js和css文件

要求引入的文件有三个。引入文件一定要按照一定的顺序,否则会出错。main.js一定要在引入init.js之前引入



4.加载ArcGIS服务地图

与ArcGIS API for JavaScript中加载的方法一样,没有改变,此处我们使用官方提供的底图 basemap:"osm"

var map;
require(["esri/map","eCharts/Echarts3Layer"],function (Map,Echarts3Layer) {
    map=new Map("mapDiv",{
        basemap:"osm",
        logo:false,
        zoom:5,
        center:[100,30]
    })

5.加载eChart

在加载ArcGIS服务代码下添加以下代码,将eCharts添加到图层

map.on('load',function () {
    //eChart添加到图层
    var overlay = new Echarts3Layer(map, echarts);
    var chartsContainer = overlay.getEchartsContainer();
    var myChart = overlay.initECharts(chartsContainer);

    option = {
        //设置配置选项
    }

    myChart.setOption(option);
}

6.加载数据

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([{
                            coord: fromCoord
                        }, {
                            coord: toCoord
                        }]);
                    }
                }
                return res;
            };

7.设置渲染参数和配置项

渲染参数是指线条和点的样式,动画的样式等。配置项(option)是决定数据的展示方式及展示内容。

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: 'lines',
                            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',
                            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: 'geo',
                            zlevel: 2,
                            rippleEffect: {
                                brushType: 'stroke'
                            },
                            label: {
                                normal: {
                                    show: true,
                                    position: 'right',
                                    formatter: '{b}'
                                }
                            },
                            symbolSize: function (val) {
                                return val[2] / 8;
                            },
                            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 = {
//        backgroundColor: '#404a59',
                title: {
                    text: 'ArcGIS JS API扩展Echarts3之模拟迁徙',
                    subtext: 'Develop By WanderGIS',
                    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: '',
                    label: {
                        emphasis: {
                            show: false
                        }
                    },
                    roam: true,
                    itemStyle: {
                        normal: {
                            areaColor: '#323c48',
                            borderColor: '#404a59'
                        },
                        emphasis: {
                            areaColor: '#2a333d'
                        }
                    }
                },
                series: series
            };

 

全部代码:

 




    
    测试程序
    
    
    


 

 

 

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