“我不满意,我不想等待,我也不再推诿,我要站出来做一点什么。我要做的事,就在此时,就在此刻,就在此地,就在此生”。自离职央视后,沉寂许久的知名记者、主持人柴静昨日携个人视频新作 《穹顶之下》宣告归来,并在短时间内引起广泛关注。生活在这个地球上,空气质量的好坏决定这我们的健康,每个人都希望能够呼吸新鲜空气,都希望抬起头看到的是蓝天和白云,而不是灰蒙蒙的雾霾。说到雾霾,我们用TWaver GIS实现了一个全国雾霾图的示例供大家参考。
首先要创建地图,如果熟悉TWaver GIS的人,下面的代码应该不难,如果第一次接触TWaver GIS,可以参考html5 gis的官方文档。贴出地图的代码:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | 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}); |
接下来是在地图上画出每个省省会的的雾霾指数,可以用网元来表示, 先注册一下网元的样式,用我们的矢量描述来表示:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | 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' } ] }); |
最后我们创建网元,网元的图片就是上边注册的图片,并且用不同的颜色表示雾霾指数的高低:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | 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: "广州" }, //广州 {latitude: 30.26667, longitude:120.20000, name: "杭州" }, //杭州 {latitude: 29.56667, longitude: 106.45000, name: "重庆" }, //重庆 {latitude: 26.08333, longitude:119.30000, name: "福州" }, //福州 {latitude: 36.03333, longitude: 103.73333, name: "兰州" }, //兰州 {latitude: 26.56667, longitude:106.71667, name: "贵阳" }, //贵阳 {latitude: 28.21667, longitude: 113.00000, name: "长沙" }, //长沙 {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: "沈阳" }, //沈阳 {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: "拉萨" }, //拉萨 {latitude: 43.76667, longitude:87.68333, name: "乌鲁木齐" }, //乌鲁木齐 {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: "西宁" }, //西宁 {latitude: 38.46667, longitude:106.26667, name: "银川" }, //银川 {latitude: 45.75000, longitude: 126.63333, name: "哈尔滨" }, //哈尔滨 {latitude: 43.88333, longitude:125.35000, name: "长春" }, //长春 {latitude: 30.51667, longitude: 114.31667, name: "武汉" }, //武汉 {latitude: 34.76667, longitude:113.65000, name: "郑州" }, //郑州 {latitude: 38.03333, longitude: 114.48333, name: "石家庄" }, //石家庄 {latitude: 20.01667, longitude:110.35000, name: "海口" }, //海口 {latitude: 22.20000, longitude: 113.50000, name: "澳门" }, //澳门 {latitude: 40.48, longitude: 111.41, name: "呼和浩特" }, //呼和浩特 {latitude: 22.48, longitude: 108.19, name: "南宁" }, //南宁 {latitude: 36.40, longitude: 117.00, name: "济南" }, //济南 {latitude: 31.52, longitude: 117.17, name: "合肥" }, //合肥 {latitude: 25.03 , longitude: 121.30, name: "台北" } //台北 ]; 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); } } |
这样一个简单的雾霾地图就实现了,上边的数据是模拟数据,如果想反映真实数据,可以直接调用中国天气的实时数据,网址:http://openweather.weather.com.cn/Home/Package/index.html
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