“我不滿意,我不想等待,我也不再推諉,我要站出來做一點什麼。我要做的事,就在此時,就在此刻,就在此地,就在此生”。自離職央視後,沉寂許久的知名記者、主持人柴靜昨日攜個人視頻新作 《穹頂之下》宣告歸來,並在短時間內引起廣泛關注。生活在這個地球上,空氣質量的好壞決定這我們的健康,每個人都希望能夠呼吸新鮮空氣,都希望擡起頭看到的是藍天和白雲,而不是灰濛濛的霧霾。說到霧霾,我們用TWaver GIS實現了一個全國霧霾圖的示例供大家參考。
首先要創建地圖,如果熟悉TWaver GIS的人,下面的代碼應該不難,如果第一次接觸TWaver GIS,可以參考html5 gis的官方文檔。貼出地圖的代碼:
network = new twaver.vector.Network();
map = new twaver.gis.Map(document.getElementById("container"),"test");
map.setSize({width:800,height:1200});
map.setEnableDoubleZoom(false);
map.setBackgroundColor(GISConsts.GOOGLE_COLOR);
map.setProjectionType(GISConsts.PROJECTION_MERCATOR);
map.addLayer("OSM",GISConsts.EXECUTOR_TYPE_OSM);
map.setZoomLevel(4);
map.setCenter(new twaver.gis.geometry.GeoCoordinate(40,100));
network.adjustBounds({x:0,y:0,width:900,height:800});
var box = network.getElementBox();
adapter = new twaver.gis.Adapter();
adapter.bindNetworkAndMap(network,map);
adapter.enableCombineInteraction();
var borderPane = new twaver.controls.BorderPane(map);
appendChild(borderPane.getView(),document.getElementById("container"),0,0,0,0);
var toolbar = new twaver.gis.gadget.MapToolbar("",map);
map.installGadget(toolbar.getView());
var navigator = new twaver.gis.gadget.Navigator("cn",map);
map.installGadget(navigator,{x:20,y:50});
接下來是在地圖上畫出每個省省會的的霧霾指數,可以用網元來表示, 先註冊一下網元的樣式,用我們的矢量描述來表示:
twaver.Util.registerImage('exponent', {
w: 80,
h: 30,
origin: { x: 0, y: 0 },
line: {
width: 0,
color: 'red'
},
v: [
{
shape: 'rect',
rect: [ 0, 0, 80, 20],
fill: 'white',
r: 2
},
{
shape: 'rect',
rect: [ 50, 0, 30, 20],
fill: '<%= data.getClient("color") %>',
r:2
},
{
shape: 'text',
text: '<%= data.getClient("name") %>',
textAlign: 'left',
textBaseline: 'top',
x: 5,
y: 5
},
{
shape: 'text',
text: '<%= data.getClient("exponent") %>',
textAlign: 'left',
textBaseline: 'top',
x: 55,
y: 5
},
{
shape: 'circle',
cx: 40,
cy: 22,
r: 2,
fill: 'red'
}
]
});
最後我們創建網元,網元的圖片就是上邊註冊的圖片,並且用不同的顏色表示霧霾指數的高低:
function createTopo() {
var box = network.getElementBox();
var geoDatas = [
{latitude: 39.91667, longitude: 116.41667, name:"北京"}, //北京
{latitude: 31.14, longitude:121.29, name:"上海"},//上海
{latitude: 39.13333, longitude: 117.20000, name:"天津"},//天津
{latitude: 22.20000, longitude:114.10000, name:"香港"}, //香港
{latitude: 23.16667, longitude: 113.23333, name:"廣州"}, //廣州
{latitude: 30.26667, longitude:120.20000, name:"杭州"},//杭州
{latitude: 29.56667, longitude: 106.45000, name:"重慶"},//重慶
{latitude: 26.08333, longitude:119.30000, name:"福州"},//福州
{latitude: 36.03333, longitude: 103.73333, name:"蘭州"},//蘭州
{latitude: 26.56667, longitude:106.71667, name:"貴陽"},//貴陽
{latitude: 28.21667, longitude: 113.00000, name:"長沙"},//長沙
{latitude: 32.05000, longitude:118.78333, name:"南京"},//南京
{latitude: 28.68333, longitude: 115.90000, name:"南昌"},//南昌
{latitude: 41.80000, longitude:123.38333, name:"瀋陽"},//瀋陽
{latitude: 37.86667, longitude: 112.53333, name:"太原"},//太原
{latitude: 30.66667, longitude:104.06667, name:"成都"},//成都
{latitude: 29.60000, longitude: 91.00000, name:"拉薩"},//拉薩
{latitude: 43.76667, longitude:87.68333, name:"烏魯木齊"},//烏魯木齊
{latitude: 25.05000, longitude: 102.73333, name:"昆明"},//昆明
{latitude: 34.26667, longitude:108.95000, name:"西安"},//西安
{latitude: 36.56667, longitude: 101.75000, name:"西寧"},//西寧
{latitude: 38.46667, longitude:106.26667, name:"銀川"},//銀川
{latitude: 45.75000, longitude: 126.63333, name:"哈爾濱"},//哈爾濱
{latitude: 43.88333, longitude:125.35000, name:"長春"},//長春
{latitude: 30.51667, longitude: 114.31667, name:"武漢"},//武漢
{latitude: 34.76667, longitude:113.65000, name:"鄭州"},//鄭州
{latitude: 38.03333, longitude: 114.48333, name:"石家莊"},//石家莊
{latitude: 20.01667, longitude:110.35000, name:"海口"},//海口
{latitude: 22.20000, longitude: 113.50000, name:"澳門"},//澳門
{latitude: 40.48, longitude: 111.41, name:"呼和浩特"},//呼和浩特
{latitude: 22.48, longitude: 108.19, name:"南寧"},//南寧
{latitude: 36.40, longitude: 117.00, name:"濟南"},//濟南
{latitude: 31.52, longitude: 117.17, name:"合肥"},//合肥
{latitude: 25.03 , longitude: 121.30, name:"臺北"}//臺北
];
for(var i = 0; i < geoDatas.length; i++) {
var node = new twaver.Node();
node.setClient(GISSettings.GEOCOORDINATE,new twaver.gis.geometry.GeoCoordinate(geoDatas[i].latitude,geoDatas[i].longitude));
node.setImage("exponent");
node.setClient("name",geoDatas[i].name);
node.setClient("exponent",Math.floor(Math.random() * 200) + 20);
if(node.getClient("exponent") < 50) {
node.setClient("color", "green");
}else if(node.getClient("exponent") >= 50 && node.getClient("exponent") < 100) {
node.setClient("color", "#D6C621");
}else if(node.getClient("exponent") >= 100 && node.getClient("exponent") < 150) {
node.setClient("color", "#F5582E");
} else if(node.getClient("exponent") >= 150 && node.getClient("exponent") <= 220) {
node.setClient("color", "red");
}
box.add(node);
}
}
這樣一個簡單的霧霾地圖就實現了,上邊的數據是模擬數據,如果想反映真實數據,可以直接調用中國天氣的實時數據,網址:http://openweather.weather.com.cn/Home/Package/index.html
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