OpenSource
/
dc-sdk
огледало од https://github.com/dvt3d/dc-sdk
Прати 4
Волим 0
Креирај огранак 0
Код Дискусије 0 Издања 92 Вики Activity
Преглед изворни кода

update examples

tags/3.0.0
Caven Chen пре 2 година
родитељ
1516a71494
комит
c000d554c0
21 измењених фајлова са 106 додато и 7212 уклоњено
Подељен поглед Покажи статистику Diff
  1. 4
    4
      examples/animation/track_clamp_to_ground.html
  2. 1
    0
      examples/assets/data/wind.json
  3. 0
    47
      examples/baselayer/ter_arcgis.html
  4. 0
    44
      examples/baselayer/ter_ch.html
  5. 0
    48
      examples/baselayer/ter_exaggeration.html
  6. 0
    431
      examples/datav/e_airline.html
  7. 0
    321
      examples/datav/e_plane.html
  8. 0
    1068
      examples/datav/e_pm2.5.html
  9. 0
    529
      examples/datav/e_pm2.5_2.html
  10. 0
    648
      examples/datav/e_qx.html
  11. 0
    254
      examples/datav/e_qx_2.html
  12. 0
    3278
      examples/datav/e_rk.html
  13. 0
    464
      examples/datav/e_wl.html
  14. 13
    10
      examples/datav/heat.html
  15. 11
    12
      examples/datav/heat_building.html
  16. 15
    14
      examples/datav/heat_height.html
  17. 33
    31
      examples/datav/wind.html
  18. 18
    1
      examples/list.js
  19. 4
    4
      examples/terrain/ter_ch.html
  20. 4
    4
      examples/terrain/ter_exaggeration.html
  21. 3
    0
      src/modules/index.js

+ 4
- 4
examples/animation/track_clamp_to_ground.html Прегледај датотеку

@@ -39,15 +39,15 @@

function initViewer() {
viewer = new DC.Viewer('viewer-container')
let terrain = DC.TerrainFactory.createUrlTerrain({
url: 'http://data.marsgis.cn/terrain'
})
viewer.setTerrain(terrain)
let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
style:'img',
crs:'WGS84'
})
viewer.addBaseLayer( baseLayer)
let terrain = DC.TerrainFactory.createUrlTerrain({
url: 'http://data.marsgis.cn/terrain'
})
viewer.addTerrain(terrain)
tc = new DC.TrackController(viewer)
let positions = "119.6690974094955,30.619898051672074;119.80669126724348,30.820857646248754"
track = new DC.Track(positions,50,()=>{},{

+ 1
- 0
examples/assets/data/wind.json
Разлика између датотеке није приказан због своје велике величине
Прегледај датотеку


+ 0
- 47
examples/baselayer/ter_arcgis.html Прегледај датотеку

@@ -1,47 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='/libs/dc-sdk/dc.min.js'></script>
<script src="../dat.gui.min.js"></script>
<link href='/libs/dc-sdk/dc.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
</head>

<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container')
let key = '1c3ff1358b17417f1782dd1ae7bdd00a'
let baseLayer = DC.ImageryLayerFactory.createTdtImageryLayer({
key,
style: 'img'
})
viewer.addBaseLayer( baseLayer)
let terrain = DC.TerrainFactory.createArcgisTerrain({
url:
'https://elevation3d.arcgis.com/arcgis/rest/services/WorldElevation3D/Terrain3D/ImageServer'
})
viewer.addTerrain(terrain)
viewer.flyToPosition(
new DC.Position(
96.70456483909693,
28.883444927447762,
48977.26981733466,
0,
-32
)
)
}
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>
</body>
</html>

+ 0
- 44
examples/baselayer/ter_ch.html Прегледај датотеку

@@ -1,44 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='/libs/dc-sdk/dc.min.js'></script>
<script src="../dat.gui.min.js"></script>
<link href='/libs/dc-sdk/dc.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
</head>

<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container')
let key = '1c3ff1358b17417f1782dd1ae7bdd00a'
let baseLayer = DC.ImageryLayerFactory.createTdtImageryLayer({
key,
style: 'img'
})
viewer.addBaseLayer( baseLayer)
let terrain = DC.TerrainFactory.createUrlTerrain({
url: 'http://data.marsgis.cn/terrain'
})
viewer.addTerrain(terrain)
viewer.flyToPosition(
new DC.Position(
96.70456483909693,
28.883444927447762,
48977.26981733466,
0,
-31
)
)
}
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>

+ 0
- 48
examples/baselayer/ter_exaggeration.html Прегледај датотеку

@@ -1,48 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='/libs/dc-sdk/dc.min.js'></script>
<script src="../dat.gui.min.js"></script>
<link href='/libs/dc-sdk/dc.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
</head>

<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container')
viewer.setOptions({
globe:{
terrainExaggeration:10
}
})
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer({
style: 'img',
crs:'WGS84'
})
viewer.addBaseLayer( baseLayer)
let terrain = DC.TerrainFactory.createUrlTerrain({
url: 'http://data.marsgis.cn/terrain'
})
viewer.addTerrain(terrain)
viewer.flyToPosition(
new DC.Position(
96.70456483909693,
28.883444927447762,
48977.26981733466,
0,
-31
)
)
}
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>

+ 0
- 431
examples/datav/e_airline.html Прегледај датотеку

@@ -1,431 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='https://cdn.jsdelivr.net/npm/echarts@5.4.2/dist/echarts.min.js'></script>
<script src='/libs/dc-sdk/dc.base.min.js'></script>
<script src='/libs/dc-sdk/dc.core.min.js'></script>
<script src='/libs/dc-sdk/dc.chart.min.js'></script>
<script>DC.baseUrl='../libs/dc-sdk/resources/'</script>
<link href='/libs/dc-sdk/dc.core.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
<style>
*{
margin: 0;
padding: 0;
}
html,body,#viewer-container{
width: 100%;
height: 100%;
overflow: hidden;
}
</style>
</head>

<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container',{
contextOptions: {
requestWebgl1: true,
},
})

let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness = 0.1
viewer.addBaseLayer( baseLayer)
viewer.scene.canvas.setAttribute('tabIndex', 0)
viewer.flyToPosition(
new DC.Position(108.198353, 20.758452, 10733735.96, 0, -90, 0),
() => {
let chartLayer = new DC.ChartLayer('layer')
chartLayer.setOption(getOption())
viewer.addLayer(chartLayer)
}
)
}

function getOption(e) {
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],
赣州: [116.0046, 25.6633],
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],
宿州: [117.5535, 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],
曲阜: [117.323, 35.8926],
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 chatData = [
[
'北京',
[
[
{
name: '北京',
value: 100
},
{
name: '无锡'
}
],
[
{
name: '上海',
value: 30
},
{
name: '无锡'
}
],
[
{
name: '广州',
value: 20
},
{
name: '无锡'
}
],
[
{
name: '大连',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '青岛',
value: 20
},
{
name: '无锡'
}
],
[
{
name: '石家庄',
value: 20
},
{
name: '无锡'
}
],
[
{
name: '南昌',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '合肥',
value: 30
},
{
name: '无锡'
}
],
[
{
name: '呼和浩特',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '宿州',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '曲阜',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '杭州',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '武汉',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '深圳',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '珠海',
value: 10
},
{
name: '无锡'
}
],
[
{
name: '福州',
value: 20
},
{
name: '无锡'
}
],
[
{
name: '西安',
value: 60
},
{
name: '无锡'
}
],
[
{
name: '赣州',
value: 10
},
{
name: '无锡'
}
]
]
]
]

var convertData = function(data) {
var res = []
for (let 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],
value: dataItem[1].value
})
}
}
return res
}

let n = []
chatData.forEach(function(e, a) {
n.push(
{
name: e[2],
type: 'lines',
coordinateSystem: 'GLMap',
effect: {
show: !0,
period: 6,
trailLength: 0.1,
symbol: 'arrow',
symbolSize: 5
},
lineStyle: {
normal: {
color: '#60ff44',
width: 1,
opacity: 0.4,
curveness: 0.2
}
},
data: convertData(e[1])
},
{
type: 'effectScatter',
coordinateSystem: 'GLMap',
rippleEffect: {
brushType: 'stroke'
},
label: {
normal: {
show: !0,
position: 'right',
formatter: '{b}'
}
},
symbolSize: function(e) {
return 3 + e[2] / 10
},
itemStyle: {
normal: {
color: '#60ff44'
}
},
data: e[1].map(function(e) {
return {
name: e[0].name,
value: geoCoordMap[e[0].name].concat([e[0].value])
}
})
}
)
})

return {
animation: false,
GLMap: {},
series: n
}
}

DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>
</body>
</html>
</body>
</html>

+ 0
- 321
examples/datav/e_plane.html Прегледај датотеку

@@ -1,321 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='https://cdn.jsdelivr.net/npm/echarts@5.4.2/dist/echarts.min.js'></script>
<script src='/libs/dc-sdk/dc.base.min.js'></script>
<script src='/libs/dc-sdk/dc.core.min.js'></script>
<script src='/libs/dc-sdk/dc.chart.min.js'></script>
<script>DC.baseUrl='../libs/dc-sdk/resources/'</script>
<link href='/libs/dc-sdk/dc.core.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
<style>
*{
margin: 0;
padding: 0;
}
html,body,#viewer-container{
width: 100%;
height: 100%;
overflow: hidden;
}
</style>
</head>

<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container')
viewer.scene.canvas.setAttribute('tabIndex', 0)
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness = 0.1
viewer.addBaseLayer( baseLayer)
viewer.flyToPosition(
new DC.Position(108.198353, 20.758452, 10733735.96, 0, -90, 0),
() => {
let chartLayer = new DC.ChartLayer('layer').addTo(viewer)
chartLayer.setOption(getOption())
}
)
}

function getOption(e) {
var chinaGeoCoordMap = {
'黑龙江': [127.9688, 45.368],
'大庆': [126.9688, 45.868],
'内蒙古': [110.3467, 41.4899],
"吉林": [125.8154, 44.2584],
'北京': [116.4551, 40.2539],
"辽宁": [123.1238, 42.1216],
"河北": [114.4995, 38.1006],
"天津": [117.4219, 39.4189],
"山西": [112.3352, 37.9413],
"陕西": [109.1162, 34.2004],
"甘肃": [103.5901, 36.3043],
"宁夏": [106.3586, 38.1775],
"青海": [101.4038, 36.8207],
"新疆": [87.9236, 43.5883],
"西藏": [91.11, 29.97],
"四川": [103.9526, 30.7617],
"重庆": [108.384366, 30.439702],
"山东": [117.1582, 36.8701],
"河南": [113.4668, 34.6234],
"江苏": [118.8062, 31.9208],
"安徽": [117.29, 32.0581],
"湖北": [114.3896, 30.6628],
"浙江": [119.5313, 29.8773],
"福建": [119.4543, 25.9222],
"江西": [116.0046, 28.6633],
"湖南": [113.0823, 28.2568],
"贵州": [106.6992, 26.7682],
"云南": [102.9199, 25.4663],
"广东": [113.12244, 23.009505],
"广西": [108.479, 23.1152],
"海南": [110.3893, 19.8516],
'上海': [121.4648, 31.2891]
};
var chinaDatas = [
[{
name: '黑龙江',
value: 0.88
}],
[{
name: '内蒙古',
value: 0.12
}],
[{
name: '吉林',
value: 0.89
}],
[{
name: '辽宁',
value: 0.86
}],
[{
name: '河北',
value: 0.88
}],
[{
name: '北京',
value: 0.83
}],
[{
name: '天津',
value: 0.71
}],
[{
name: '山西',
value: 0.63
}],
[{
name: '陕西',
value: 0.56
}],
[{
name: '宁夏',
value: 0.17
}],
[{
name: '云南',
value: 0.11
}],
[{
name: '四川',
value: 1
}],
[{
name: '重庆',
value: 0.80
}],
[{
name: '山东',
value: 0.77
}],
[{
name: '河南',
value: 0.75
}],
[{
name: '江苏',
value: 0.88
}],
[{
name: '安徽',
value: 0.73
}],
[{
name: '湖北',
value: 0.75
}],
[{
name: '浙江',
value: 0.82
}],
[{
name: '福建',
value: 0.67
}],
[{
name: '江西',
value: 0.71
}],
[{
name: '湖南',
value: 0.75
}],
[{
name: '广东',
value: 0.78
}],
[{
name: '海南',
value: 0.1
}],
[{
name: '新疆',
value: 0
}],
[{
name: '上海',
value: 0.91
}]
];

var convertData = function(data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var dataItem = data[i];
var fromCoord = chinaGeoCoordMap[dataItem[0].name];
var toCoord = [126.9688, 45.868];
if (fromCoord && toCoord) {
res.push([{
coord: fromCoord,
value: dataItem[0].value
}, {
coord: toCoord,
}]);
}
}
return res;
};
var series = [];
[
['大庆', chinaDatas]
].forEach(function(item, i) {
console.log(item)
series.push({
type: 'lines',
zlevel: 2,
coordinateSystem: 'GLMap',
effect: {
show: true,
period: 4, //箭头指向速度，值越小速度越快
trailLength: 0.02, //特效尾迹长度[0,1]值越大，尾迹越长重
symbol: 'arrow', //箭头图标
symbolSize: 5, //图标大小
},
lineStyle: {
normal: {
width: 1, //尾迹线条宽度
opacity: 1, //尾迹线条透明度
curveness: .3 //尾迹线条曲直度
}
},
data: convertData(item[1])
}, {
type: 'effectScatter',
coordinateSystem: 'GLMap',
zlevel: 2,
rippleEffect: { //涟漪特效
period: 4, //动画时间，值越小速度越快
brushType: 'stroke', //波纹绘制方式 stroke, fill
scale: 4 //波纹圆环最大限制，值越大波纹越大
},
label: {
normal: {
show: true,
position: 'right', //显示位置
offset: [5, 0], //偏移设置
formatter: function(params) { //圆环显示文字
return params.data.name;
},
fontSize: 13
},
emphasis: {
show: true
}
},
symbol: 'circle',
symbolSize: function(val) {
return 5 + val[2] * 5; //圆环大小
},
itemStyle: {
normal: {
show: false,
color: '#f00'
}
},
data: item[1].map(function(dataItem) {
return {
name: dataItem[0].name,
value: chinaGeoCoordMap[dataItem[0].name].concat([dataItem[0].value])
};
}),
},
//被攻击点
{
type: 'scatter',
coordinateSystem: 'GLMap',
zlevel: 2,
rippleEffect: {
period: 4,
brushType: 'stroke',
scale: 4
},
label: {
normal: {
show: true,
position: 'right',
//offset:[5, 0],
color: '#0f0',
formatter: '{b}',
textStyle: {
color: "#0f0"
}
},
emphasis: {
show: true,
color: "#f60"
}
},
symbol: 'pin',
symbolSize: 50,
data: [{
name: item[0],
value: chinaGeoCoordMap[item[0]].concat([10]),
}],
}
);
});

return {
animation: false,
GLMap: {},
series: series
}
}

DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>
</body>
</html>
</body>
</html>

+ 0
- 1068
examples/datav/e_pm2.5.html
Разлика између датотеке није приказан због своје велике величине
Прегледај датотеку


+ 0
- 529
examples/datav/e_pm2.5_2.html Прегледај датотеку

@@ -1,529 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='https://cdn.jsdelivr.net/npm/echarts@5.4.2/dist/echarts.min.js'></script>
<script src='/libs/dc-sdk/dc.base.min.js'></script>
<script src='/libs/dc-sdk/dc.core.min.js'></script>
<script src='/libs/dc-sdk/dc.chart.min.js'></script>
<script>DC.baseUrl='../libs/dc-sdk/resources/'</script>
<link href='/libs/dc-sdk/dc.core.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
<style>
*{
margin: 0;
padding: 0;
}
html,body,#viewer-container{
width: 100%;
height: 100%;
overflow: hidden;
}
</style>
</head>

<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container')
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness = 0.1
viewer.addBaseLayer( baseLayer)
viewer.flyToPosition(
new DC.Position(108.198353, 20.758452, 10733735.96, 0, -90, 0),
() => {
let chartLayer = new DC.ChartLayer('layer').addTo(viewer)
chartLayer.setOption(getOption())
}
)
}

function getOption(e) {
var chartData = [
{ 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 }
]
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]
}

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
}

return {
title: {
text: '全国主要城市空气质量',
subtext: 'data from PM25.in',
sublink: 'http://www.pm25.in',
left: 'center',
textStyle: {
color: '#fff'
}
},
animation: false,
GLMap: {},
series: [
{
name: 'pm2.5',
type: 'scatter',
coordinateSystem: 'GLMap',
data: convertData(chartData),
symbolSize: function(val) {
return val[2] / 10
},
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ddb926'
}
}
},
{
name: 'Top 5',
type: 'effectScatter',
coordinateSystem: 'GLMap',
data: convertData(
chartData
.sort(function(a, b) {
return b.value - a.value
})
.slice(0, 6)
),
symbolSize: function(val) {
return val[2] / 10
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: true
}
},
itemStyle: {
normal: {
color: '#f4e925',
shadowBlur: 10,
shadowColor: '#333'
}
},
zlevel: 1
}
]
}
}
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>
</body>
</html>
</body>
</html>

+ 0
- 648
examples/datav/e_qx.html Прегледај датотеку

@@ -1,648 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='https://cdn.jsdelivr.net/npm/echarts@5.4.2/dist/echarts.min.js'></script>
<script src='/libs/dc-sdk/dc.base.min.js'></script>
<script src='/libs/dc-sdk/dc.core.min.js'></script>
<script src='/libs/dc-sdk/dc.chart.min.js'></script>
<script>DC.baseUrl='../libs/dc-sdk/resources/'</script>
<link href='/libs/dc-sdk/dc.core.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
<style>
*{
margin: 0;
padding: 0;
}
html,body,#viewer-container{
width: 100%;
height: 100%;
overflow: hidden;
}
</style>
</head>


<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container')
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness = 0.1
viewer.addBaseLayer( baseLayer)
viewer.flyToPosition(
new DC.Position(108.198353, 20.758452, 10733735.96, 0, -90, 0),
() => {
let chartLayer = new DC.ChartLayer('layer').addTo(viewer)
chartLayer.setOption(getOption())
}
)
}

function getOption(e) {
var geoCoordMap = {
新疆玛纳斯基地: [86.22, 44.3],
九江: [116.0, 29.7],
新乡: [116.402217, 35.311657],
' ': [79.92, 37.12],
' ': [86.85, 47.7],
若羌县: [88.17, 39.02],
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: '新乡'
},
{
name: '新乡',
value: 200
}
],
[
{
name: '新乡'
},
{
name: '呼和浩特',
value: 90
}
],
[
{
name: '新乡'
},
{
name: '哈尔滨',
value: 90
}
],
[
{
name: '新乡'
},
{
name: '石家庄',
value: 90
}
],
[
{
name: '新乡'
},
{
name: '昆明',
value: 30
}
],
[
{
name: '新乡'
},
{
name: '北京',
value: 100
}
],
[
{
name: '新乡'
},
{
name: '长春',
value: 40
}
],
[
{
name: '新乡'
},
{
name: '重庆',
value: 40
}
],
[
{
name: '新乡'
},
{
name: '贵阳',
value: 50
}
],
[
{
name: '新乡'
},
{
name: '南宁',
value: 30
}
],
[
{
name: '新乡'
},
{
name: '济南',
value: 10
}
],
[
{
name: '新乡'
},
{
name: '太原',
value: 40
}
],
[
{
name: '新乡'
},
{
name: '西安',
value: 60
}
],
[
{
name: '新乡'
},
{
name: '武汉',
value: 50
}
],
[
{
name: '新乡'
},
{
name: '合肥',
value: 40
}
],
[
{
name: '新乡'
},
{
name: '南京',
value: 30
}
],
[
{
name: '新乡'
},
{
name: '沈阳',
value: 20
}
],
[
{
name: '新乡'
},
{
name: '成都',
value: 10
}
]
]

var SHData = [
[
{
name: '九江'
},
{
name: '九江',
value: 200
}
],

[
{
name: '九江'
},
{
name: '长沙',
value: 95
}
],
[
{
name: '九江'
},
{
name: '武汉',
value: 30
}
],
[
{
name: '九江'
},
{
name: '南昌',
value: 20
}
],
[
{
name: '九江'
},
{
name: '合肥',
value: 70
}
],
[
{
name: '九江'
},
{
name: '南京',
value: 60
}
],
[
{
name: '九江'
},
{
name: '福州',
value: 50
}
],
[
{
name: '九江'
},
{
name: '上海',
value: 100
}
],
[
{
name: '九江'
},
{
name: '深圳',
value: 100
}
]
]

var GZData = [
[
{
name: '新疆玛纳斯基地'
},
{
name: '新疆玛纳斯基地',
value: 200
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: ' ',
value: 90
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: ' ',
value: 40
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: '呼和浩特',
value: 90
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: '昆明',
value: 40
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: '成都',
value: 10
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: '兰州',
value: 95
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: '银川',
value: 90
}
],
[
{
name: '新疆玛纳斯基地'
},
{
name: '西宁',
value: 80
}
]
]

var planePath =
'path://M.6,1318.313v-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'

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
}

var color = ['#3ed4ff', '#ffa022', '#a6c84c']
var series = []
;[
['新乡', BJData],
['九江', SHData],
['新疆', GZData]
].forEach(function(item, i) {
series.push(
{
name: item[0] + ' Top10',
type: 'lines',
coordinateSystem: 'GLMap',
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: 'GLMap',
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: 'GLMap',
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])
}
})
}
)
})

return {
animation: false,
title: {
text: '模拟迁徙',
subtext: '数据纯属虚构',
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'
},
GLMap: {},
series: series
}
}

DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>
</body>
</html>
</body>
</html>

+ 0
- 254
examples/datav/e_qx_2.html
Разлика између датотеке није приказан због своје велике величине
Прегледај датотеку


+ 0
- 3278
examples/datav/e_rk.html
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Прегледај датотеку


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examples/datav/e_wl.html Прегледај датотеку

@@ -1,464 +0,0 @@
<!DOCTYPE html>
<html lang="en">

<html lang="en">


<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='https://cdn.jsdelivr.net/npm/echarts@5.4.2/dist/echarts.min.js'></script>
<script src='/libs/dc-sdk/dc.base.min.js'></script>
<script src='/libs/dc-sdk/dc.core.min.js'></script>
<script src='/libs/dc-sdk/dc.chart.min.js'></script>
<script>DC.baseUrl='../libs/dc-sdk/resources/'</script>
<link href='/libs/dc-sdk/dc.core.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
<style>
*{
margin: 0;
padding: 0;
}
html,body,#viewer-container{
width: 100%;
height: 100%;
overflow: hidden;
}
</style>
</head>

<body>

<div id="viewer-container" class="viewer-container"></div>
<script>
let viewer = undefined
function initViewer() {
viewer = new DC.Viewer('viewer-container')
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness = 0.1
viewer.addBaseLayer( baseLayer)
viewer.flyToPosition(
new DC.Position(108.198353, 20.758452, 10733735.96, 0, -90, 0),
() => {
let chartLayer = new DC.ChartLayer('layer').addTo(viewer)
chartLayer.setOption(getOption())
}
)
}

function getOption(e) {
var chinaGeoCoordMap = {
黑龙江: [127.9688, 45.368],
内蒙古: [110.3467, 41.4899],
吉林: [125.8154, 44.2584],
北京市: [116.4551, 40.2539],
辽宁: [123.1238, 42.1216],
河北: [114.4995, 38.1006],
天津: [117.4219, 39.4189],
山西: [112.3352, 37.9413],
陕西: [109.1162, 34.2004],
甘肃: [103.5901, 36.3043],
宁夏: [106.3586, 38.1775],
青海: [101.4038, 36.8207],
新疆: [87.9236, 43.5883],
西藏: [91.11, 29.97],
四川: [103.9526, 30.7617],
重庆: [108.384366, 30.439702],
山东: [117.1582, 36.8701],
河南: [113.4668, 34.6234],
江苏: [118.8062, 31.9208],
安徽: [117.29, 32.0581],
湖北: [114.3896, 30.6628],
浙江: [119.5313, 29.8773],
福建: [119.4543, 25.9222],
江西: [116.0046, 28.6633],
湖南: [113.0823, 28.2568],
贵州: [106.6992, 26.7682],
云南: [102.9199, 25.4663],
广东: [113.12244, 23.009505],
广西: [108.479, 23.1152],
海南: [110.3893, 19.8516],
上海: [121.4648, 31.2891]
}
var chinaDatas = [
[
{
name: '黑龙江',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '内蒙古',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '吉林',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '辽宁',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '河北',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '天津',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '山西',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '陕西',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '甘肃',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '宁夏',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '青海',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '新疆',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '西藏',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '四川',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '重庆',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '山东',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '河南',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '江苏',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '安徽',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '湖北',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '浙江',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '福建',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '江西',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '湖南',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '贵州',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '广西',
value: 0,
price: 100,
num: 2
}
],
[
{
name: '海南',
value: 0,
price: 100,
num: 2
}
]
]
var convertData = function(data) {
var res = []
for (var i = 0; i < data.length; i++) {
var dataItem = data[i]
// console.log('dataItem',dataItem) //第二个数据
var fromCoord = [116.4551, 40.2539]
var toCoord = chinaGeoCoordMap[dataItem[0].name]
// console.log('toCoord',toCoord);//第一个地址
if (fromCoord && toCoord) {
res.push([
{
coord: fromCoord,
value: dataItem[0].value
},
{
coord: toCoord,
dataItem: dataItem
}
])
}
}
return res
}
let redName = '新疆'
var planePath =
'path://M.6,1318.313v-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'

var series = []
;[['北京市', chinaDatas]].forEach(function(item, i) {
series.push(
{
type: 'lines',
coordinateSystem: 'GLMap',
zlevel: 2,
effect: {
show: true,
period: 4, //箭头指向速度，值越小速度越快
trailLength: 0.1, //特效尾迹长度[0,1]值越大，尾迹越长重
symbol: 'circle', //箭头图标
symbolSize: 3, //图标大小
color: '#fff'
},
lineStyle: {
normal: {
width: 0.7, //尾迹线条宽度
opacity: 0.5, //尾迹线条透明度
curveness: 0.2, //尾迹线条曲直度
color: function(params) {
return '#ffa022'
}
},
color: 'red'
},
data: convertData(item[1])
},
{
type: 'effectScatter',
coordinateSystem: 'GLMap',
zlevel: 2,
rippleEffect: {
//涟漪特效
period: 4, //动画时间，值越小速度越快
brushType: 'fill', //波纹绘制方式 stroke, fill
scale: 2.2 //波纹圆环最大限制，值越大波纹越大
},

// 括 'circle', 'rect', 'roundRect', 'triangle', 'diamond', 'pin', 'arrow', 'none'
// symbol: 'none',
symbol: 'circle',
symbolSize: function(val) {
return 5 //圆环大小
},
itemStyle: {
normal: {
show: false,
// color: '#f00'
color: function(params) {
//圆环显示文字
// console.log('redName',redName)

return '#ffa022'
},
borderWidth: 0,
shadowColor: '#b5e8fa', //发光🉐效果
shadowBlur: 4
}
},
tooltip: {
// show:false,
trigger: 'item',
backgroundColor: 'rgba(8, 18, 42, 0.85)',
borderColor: '#040616',
showDelay: 0,
hideDelay: 0,
enterable: true,
transitionDuration: 0,
extraCssText: 'z-index:100',
formatter: function(params, ticket, callback) {
// 根据业务自己拓展要显示的内容
//console.log('params--2',params)
let res = ''
let name = params.data.dataItem[0].name
let price = params.data.dataItem[0].price
let num = params.data.dataItem[0].num
res =
"<div style='color:#fff;padding:10px;'><span>北京->" +
name +
'</span><br/><span>均价：' +
price +
'</span><br/><span>线路数：' +
num +
'</span></div>'
return res
}
},
data: item[1].map(function(dataItem) {
// console.log('dataItem',dataItem[0]);
return {
dataItem: dataItem,
name: dataItem[0].name,
value: chinaGeoCoordMap[dataItem[0].name].concat([
dataItem[0].value
])
}
})
},
//被攻击点
{
type: 'scatter',
coordinateSystem: 'geo',
zlevel: 1,
rippleEffect: {
period: 4,
brushType: 'stroke',
scale: 4
},

symbol: 'circle',
color: 'rgba(128, 220, 251, .6)',
symbolSize: 20,
data: [
{
name: item[0],
value: chinaGeoCoordMap[item[0]].concat([10])
}
]
}
)
})

return {
animation: false,
GLMap: {},
series: series
}
}

DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>
</body>
</html>

+ 13
- 10
examples/datav/heat.html Прегледај датотеку

@@ -22,25 +22,28 @@
for (let i = 0; i < num; i++) {
let lng = 120.38105869 + Math.random() * 0.5
let lat = 31.10115627 + Math.random() * 0.5
list.push(new DC.Position(lng, lat))
list.push({lng,lat})
}
return list
}

function initViewer() {
viewer = new DC.Viewer('viewer-container')
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness= 0.2
viewer.addBaseLayer( baseLayer)
setTimeout(()=>{
let layer = new DC.HeatLayer('layer')
let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
crs:'WGS84'
})
viewer.addBaseLayer( baseLayer,{
brightness : 0.1
})

viewer.flyToPosition("120.670183527,31.348282115,109658.22,0,-90",()=>{
let layer = new DC.HeatMapLayer('layer')
layer.setPoints(generatePosition(1000))
viewer.addLayer(layer)
let positions = generatePosition(1000)
layer.setPositions(positions)

})
viewer.flyToPosition("120.670183527,31.348282115,109658.22,0,-89.90659095062371")
}
DC.ready({
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>

+ 11
- 12
examples/datav/heat_building.html Прегледај датотеку

@@ -6,7 +6,6 @@
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='/libs/dc-sdk/dc.min.js'></script>
<script src="../dat.gui.min.js"></script>
<link href='/libs/dc-sdk/dc.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
</head>
@@ -22,33 +21,33 @@
for (let i = 0; i < num; i++) {
let lng = 121.48339987478337 + Math.random() * 0.05
let lat = 31.220954026657488 + Math.random() * 0.05
list.push(new DC.Position(lng, lat))
list.push({lng,lat})
}
return list
}

function initViewer() {
viewer = new DC.Viewer('viewer-container')
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness= 0.2
viewer.addBaseLayer( baseLayer)
let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
crs:'WGS84'
})
viewer.addBaseLayer( baseLayer,{
brightness : 0.1
})
let buildingLayer = new DC.TilesetLayer('building-layer').addTo(viewer)
let tileset = new DC.Tileset(
'//resource.dvgis.cn/data/3dtiles/ljz/tileset.json'
)
buildingLayer.addOverlay(tileset)

setTimeout(()=>{
let layer = new DC.HeatLayer('layer',{
viewer.flyToPosition("121.45765915248303,31.202070402003816,2301.94,44.95,-23.06",()=>{
let layer = new DC.HeatMapLayer('layer',{
useGround: true
})
layer.setPoints(generatePosition(10000))
viewer.addLayer(layer)
layer.setPositions(generatePosition(10000))
})

viewer.flyToPosition("121.45765915248303,31.202070402003816,2301.94,44.95,-23.06")
}
DC.ready({
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>

+ 15
- 14
examples/datav/heat_height.html Прегледај датотеку

@@ -6,7 +6,6 @@
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<title>dc-example</title>
<script src='/libs/dc-sdk/dc.min.js'></script>
<script src="../dat.gui.min.js"></script>
<link href='/libs/dc-sdk/dc.min.css' type='text/css' rel='stylesheet'>
<link href='../index.css' type='text/css' rel='stylesheet'>
</head>
@@ -20,29 +19,31 @@
function generatePosition(num) {
let list = []
for (let i = 0; i < num; i++) {
let lng = 120.38105869 + Math.random() * 0.5
let lat = 31.10115627 + Math.random() * 0.5
list.push(new DC.Position(lng, lat))
let lng = 120.38105869 + Math.random() * 0.05
let lat = 31.10115627 + Math.random() * 0.05
list.push({lng,lat})
}
return list
}

function initViewer() {
viewer = new DC.Viewer('viewer-container')
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer()
baseLayer.defaultBrightness= 0.2
viewer.addBaseLayer( baseLayer)
setTimeout(()=>{
let layer = new DC.HeatLayer('layer',{})
let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
crs:'WGS84'
})
viewer.addBaseLayer( baseLayer,{
brightness : 0.1
})
viewer.flyToPosition("120.58464690,30.57441821,35840.6299288431,5.80,-27.24",()=>{
let layer = new DC.HeatMapLayer('layer',{})
layer.setPoints(generatePosition(10000))
viewer.addLayer(layer)
layer.setPositions(generatePosition(10000))
let layer2 = new DC.HeatLayer('layer2',{ height:4000 })
let layer2 = new DC.HeatMapLayer('layer2',{ height:4000 })
layer2.setPoints( generatePosition(10000))
viewer.addLayer(layer2)
layer2.setPositions( generatePosition(10000))
})
viewer.flyToPosition("120.58464690,30.57441821,35840.6299288431,5.80,-27.24")
}
DC.ready({
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>

+ 33
- 31
examples/datav/wind.html Прегледај датотеку

@@ -21,44 +21,46 @@

function initViewer() {
viewer = new DC.Viewer('viewer-container')
let baseLayer = DC.ImageryLayerFactory.createAmapImageryLayer({
style: 'img'
let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
crs:'WGS84',
style:'img'
})
viewer.addBaseLayer( baseLayer)

axios.get('./examples/data/wind.json').then(res=>{
windLayer = new DC.WindLayer('wind',{
colorScale: [
'rgb(36,104, 180)',
'rgb(60,157, 194)',
'rgb(128,205,193 )',
'rgb(151,218,168 )',
'rgb(198,231,181)',
'rgb(238,247,217)',
'rgb(255,238,159)',
'rgb(252,217,125)',
'rgb(255,182,100)',
'rgb(252,150,75)',
'rgb(250,112,52)',
'rgb(245,64,32)',
'rgb(237,45,28)',
'rgb(220,24,32)',
'rgb(180,0,35)'
],
frameRate: 16,
maxAge: 60,
globalAlpha: 0.9,
velocityScale: 1 / 30,
paths: 2000
fetch('../assets/data/wind.json').then(res=>{
res.json().then(data => {
windLayer = new DC.WindLayer('wind',{
colorScale: [
'rgb(36,104, 180)',
'rgb(60,157, 194)',
'rgb(128,205,193 )',
'rgb(151,218,168 )',
'rgb(198,231,181)',
'rgb(238,247,217)',
'rgb(255,238,159)',
'rgb(252,217,125)',
'rgb(255,182,100)',
'rgb(252,150,75)',
'rgb(250,112,52)',
'rgb(245,64,32)',
'rgb(237,45,28)',
'rgb(220,24,32)',
'rgb(180,0,35)'
],
frameRate: 16,
maxAge: 60,
globalAlpha: 0.9,
velocityScale: 1 / 30,
paths: 2000
})
windLayer.setData(data)
viewer.addLayer(windLayer)
addGuiController() // add controller
})
windLayer.setData(res.data)
viewer.addLayer(windLayer)
addGuiController() // add controller

})
}


function addGuiController(){

let controls = {
@@ -105,7 +107,7 @@

}

DC.ready({
DC.ready({
baseUrl:'../libs/dc-sdk/resources/'
}).then(initViewer)
</script>

+ 18
- 1
examples/list.js Прегледај датотеку

@@ -606,7 +606,24 @@ const EXAMPLE_LIST = [
{
name: '数据可视化',
folder: 'datav',
children: [],
children: [
{
name: '热区图',
page: 'heat.html',
},
{
name: '热区图(高度)',
page: 'heat_height.html',
},
{
name: '热区图(建筑)',
page: 'heat_building.html',
},
{
name: '风场',
page: 'wind.html',
},
],
},
{
name: 'Echarts',

+ 4
- 4
examples/terrain/ter_ch.html Прегледај датотеку

@@ -19,15 +19,15 @@

function initViewer() {
viewer = new DC.Viewer('viewer-container')
let terrain = DC.TerrainFactory.createTerrain(DC.TerrainType.XYZ,{
url: 'http://data.marsgis.cn/terrain'
})
viewer.setTerrain(terrain)
let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
style:'img',
crs:'WGS84'
})
viewer.addBaseLayer(baseLayer)
let terrain = DC.TerrainFactory.createTerrain(DC.TerrainType.XYZ,{
url: 'http://data.marsgis.cn/terrain'
})
viewer.addTerrain(terrain)
viewer.flyToPosition(
new DC.Position(
96.70456483909693,

+ 4
- 4
examples/terrain/ter_exaggeration.html Прегледај датотеку

@@ -20,15 +20,15 @@

function initViewer() {
viewer = new DC.Viewer('viewer-container')
let terrain = DC.TerrainFactory.createTerrain(DC.TerrainType.XYZ,{
url: 'http://data.marsgis.cn/terrain'
})
viewer.setTerrain(terrain)
let baseLayer = DC.ImageryLayerFactory.createImageryLayer(DC.ImageryType.AMAP,{
style:'img',
crs:'WGS84'
})
viewer.addBaseLayer(baseLayer)
let terrain = DC.TerrainFactory.createTerrain(DC.TerrainType.XYZ,{
url: 'http://data.marsgis.cn/terrain'
})
viewer.addTerrain(terrain)
viewer.flyToPosition(
new DC.Position(
96.70456483909693,

+ 3
- 0
src/modules/index.js Прегледај датотеку

@@ -42,6 +42,9 @@ export {
VectorLayer,
} from './layer'

export { default as HeatMapLayer } from './heat-map/HeatMapLayer'
export { default as WindLayer } from './wind/WindLayer'

export {
Overlay,
OverlayType,

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