Question

我目前正在使用Javascript构建我们客户数据的交互式地图。

到目前为止我已经掌握了基础知识，但是当我开始使用标记或者带有圆圈标记的10,000个poi时，性能开始下降......如果有人可以提供一些关于如何优化我的建议已经有或者我最好移动到像jongo这样适当的数据库用于json数据，或者用Node Js做工作服务器端可能吗？

非常感谢任何建议：）

    var apiKey  = 'BC9A493B41014CAABB98F0471D759707',
          styleID = '108219';
    //    styleID = '997';


   // var map = L.map('map').setView([54.550, -4.433], 7);

      var southWest   = new L.LatLng(61.029031, 4.746094),
            northEast   = new L.LatLng(48.786962 ,-13.183594),
            bounds      = new L.LatLngBounds(southWest, northEast);

        var mapcenter      = new L.LatLng(53.457393,-2.900391);
        var map         = new L.Map('map',
                                {
                                    center: mapcenter,
                                    zoom: 7,
                                    // maxBounds: bounds,
                                    zoomControl: false
                                });

        var cloudmadeUrl = generateTileURL(apiKey, styleID),
            attribution = 'Map data &copy; OpenStreetMap contributors.',
            tileLayer = new L.TileLayer(
                                cloudmadeUrl,
                                {
                                    maxZoom: 18,
                                    attribution: attribution,
                                });

            tileLayer.addTo(map);

        var zoomControl     = new L.Control.Zoom({ position: 'topleft'} );
            zoomControl.addTo(map);
        var scaleControl    = new L.Control.Scale({ position: 'bottomleft' });
            scaleControl.addTo(map);




      geojsonLayer = L.geoJson(geojson, {
          pointToLayer: function(feature, latlng) {
            return new L.CircleMarker(latlng, {fillColor: feature.properties.MarkerColour, fillOpacity: 0.5, stroke: false, radius: 6});
          // return new L.Marker(latlng, {icon: L.AwesomeMarkers.icon({icon: feature.properties.MarkerIcon, color: feature.properties.MarkerColour, iconColor: 'white'}) });
          },
        onEachFeature: function (feature, layer) {
            layer.bindPopup( '<strong><b>Customer Data</b></strong><br />' + '<b>Result : </b>' + feature.properties.Result + '<br />' + '<b>Postcode : </b>' + feature.properties.Postcode + '<br />' );
          }
      });

            console.log('starting: ' + window.performance.now());

      map.addLayer(geojsonLayer);

            console.log('ending: ' + window.performance.now());




    function generateTileURL(apiKey, styleID) {
        return 'http://{s}.tile.cloudmade.com/' + apiKey + '/' + styleID + '/256/{z}/{x}/{y}.png';
    }

以及一些示例数据：

{
    "type": "Feature",
    "geometry": {
        "type": "Point",
         "coordinates": [
            -0.213467,
            51.494815
         ]
    },
    "properties": {
        "DateTime": "1372719435.39",
        "Result": "Cable Serviceable",
        "MarkerIcon": "ok-sign",
        "MarkerColour": "green",
        "Postcode": "W14 8UD"    
    }
},
{
    "type": "Feature",
    "geometry": {
        "type": "Point",
        "coordinates": [
            -0.389445,
            51.512121
        ]
    },
    "properties": {
        "DateTime": "1372719402.083",
        "Result": "Refer for National Serviceability",
        "MarkerIcon": "minus-sign",
        "MarkerColour": "red",
        "Postcode": "UB1 1NJ",

    }
 },
 {
    "type": "Feature",
    "geometry": {
        "type": "Point",
        "coordinates": [
            -0.411291,
            51.508012
        ]
    },
        "properties": {
        "DateTime": "1372719375.725",
        "Result": "Cable Serviceable",
        "MarkerIcon": "ok-sign",
        "MarkerColour": "green",
        "Postcode": "UB3 3JJ" 
     }
},
{
    "type": "Feature",
    "geometry": {
        "type": "Point",
        "coordinates": [
            -2.11054,
            53.500752
        ]
     },
    "properties": {
        "DateTime": "1372719299.088",
         "Result": "Cable Serviceable",
         "MarkerIcon": "ok-sign",
         "MarkerColour": "green",
         "Postcode": "OL7 9LR",

     }
 }

Answer 1

有一些Leaflet plugins可帮助处理在客户端浏览器中渲染大量点数。

最简单的方法是使用集群标记的插件，例如Marker Clusterer。 Clusterer极大地帮助客户端渲染，因为它意味着客户端计算机不必绘制10,000点，它只需要绘制10-40点。

你也可以做一个热图 - 有两个插件，都基于HTML5 Canvas：

Leaflet.js和JSON数据：优化和性能

1 个答案: