Leaflet.js和JSON數據：優化和性能

Question

我目前正在使用Javascript構建我們客戶數據的交互式地圖。

到目前為止，我已經掌握了基礎知識，但是當我開始使用標記大約500個poi或使用圓形標記超過10,000個時，性能開始下降....如果有人可以就如何優化我已經獲得的東西提供一些建議或者我最好移動到像jongo這樣適當的數據庫用於json數據，或者使用Node Js工作服務器端？

任何建議將不勝感激:)

    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 © 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';
    }

和一些樣本數據：

{
    "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插件可以幫助處理在客戶端瀏覽器中渲染大量的點。

最簡單的方法是使用集群標記的插件，例如Marker Clusterer 。 Clusterer極大地幫助客戶端渲染，因為它意味着客戶端計算機不必繪制10,000點，它只需繪制10-40。

你也可以做一個熱圖 - 有兩個插件，都基於HTML5 Canvas：

• HeatCanvas
• Heatmap.js