Google HeatMAP无法加载200个以上的数据点

时间:2019-06-15 05:49:43

标签: javascript html css google-maps heatmap

我需要有关在Google地图中加载大量数据点的帮助。我在这里有两个示例,两个示例都包含相似的数据集,其中一个包含大约25个数据点,这确实很好,但是当我增加数据点的数量时,图表的行为会异常并且无法呈现准确的数据。

以下是示例:

带有大量无法正常工作的数据点的示例:

var map, heatmap,infowindow;
 var posMarkers = {};
 var shopsdata = [
		{
			"shop_id": 1,
			"shop_name": " Stammhaus",
			"street": " Viktualienmarkt 8",
			"postcode": "80331",
			"city": " München",
			"country": " Deutschland",
			"revenue": 24124288,
			"lat": 48.15,
			"lng": 11.5833
		}
	];
 
var weightdata = 	[
		{
			"weight": 14,
			"lat": 48.3,
			"lng": 11.6167
		},
		{
			"weight": 5,
			"lat": 47.85,
			"lng": 11.6
		},
		{
			"weight": 4,
			"lat": 48.0667,
			"lng": 12.2333
		},
		{
			"weight": 7,
			"lat": 48.4667,
			"lng": 11.1333
		},
		{
			"weight": 11,
			"lat": 47.75,
			"lng": 11.7333
		},
		{
			"weight": 7,
			"lat": 47.9833,
			"lng": 11.8667
		},
		{
			"weight": 4,
			"lat": 48.3667,
			"lng": 11.3833
		},
		{
			"weight": 4,
			"lat": 47.8667,
			"lng": 12.3333
		},
		{
			"weight": 10,
			"lat": 47.95,
			"lng": 11.1
		},
		{
			"weight": 12,
			"lat": 48.5,
			"lng": 11.5
		},
		{
			"weight": 5,
			"lat": 47.6833,
			"lng": 11.5667
		},
		{
			"weight": 51,
			"lat": 48.0667,
			"lng": 11.3667
		},
		{
			"weight": 65,
			"lat": 48.1,
			"lng": 11.4
		},
		{
			"weight": 3,
			"lat": 48.35,
			"lng": 10.9833
		},
		{
			"weight": 9,
			"lat": 47.7833,
			"lng": 11.8333
		},
		{
			"weight": 4,
			"lat": 47.8667,
			"lng": 12
		},
		{
			"weight": 4,
			"lat": 48.5833,
			"lng": 13.4833
		},
		{
			"weight": 5,
			"lat": 47.8333,
			"lng": 11.15
		},
		{
			"weight": 3,
			"lat": 48.2167,
			"lng": 12.1333
		},
		{
			"weight": 3,
			"lat": 48.2618,
			"lng": 12.2789
		},
		{
			"weight": 3,
			"lat": 48.4,
			"lng": 10.8333
		},
		{
			"weight": 3,
			"lat": 48.6833,
			"lng": 12.6833
		},
		{
			"weight": 5,
			"lat": 48.25,
			"lng": 12.5333
		},
		{
			"weight": 3,
			"lat": 48.25,
			"lng": 11.3667
		},
		{
			"weight": 6,
			"lat": 47.9833,
			"lng": 11.4667
		},
		{
			"weight": 19,
			"lat": 48.05,
			"lng": 11.9667
		},
		{
			"weight": 3,
			"lat": 47.9333,
			"lng": 12.0167
		},
		{
			"weight": 18,
			"lat": 47.6446,
			"lng": 11.7452
		},
		{
			"weight": 5,
			"lat": 48.4,
			"lng": 11.4667
		},
		{
			"weight": 3,
			"lat": 47.8167,
			"lng": 11.4833
		},
		{
			"weight": 17,
			"lat": 48.0833,
			"lng": 11.8333
		},
		{
			"weight": 3,
			"lat": 47.7167,
			"lng": 10.3167
		},
		{
			"weight": 15,
			"lat": 48.3,
			"lng": 11.9127
		},
		{
			"weight": 7,
			"lat": 47.7667,
			"lng": 11.6667
		},
		{
			"weight": 5,
			"lat": 48.1333,
			"lng": 11.0333
		},
		{
			"weight": 5,
			"lat": 48.3167,
			"lng": 11.5667
		},
		{
			"weight": 25,
			"lat": 47.9167,
			"lng": 11.2833
		},
		{
			"weight": 11,
			"lat": 47.6833,
			"lng": 11.2
		},
		{
			"weight": 5,
			"lat": 48.2667,
			"lng": 10.9833
		},
		{
			"weight": 6,
			"lat": 47.9,
			"lng": 11.7833
		},
		{
			"weight": 19,
			"lat": 48.0333,
			"lng": 11.2
		},
		{
			"weight": 5,
			"lat": 48.4167,
			"lng": 11.5333
		},
		{
			"weight": 8,
			"lat": 48.0667,
			"lng": 11.9
		},
		{
			"weight": 3,
			"lat": 48.3167,
			"lng": 11.2
		},
		{
			"weight": 7,
			"lat": 47.9167,
			"lng": 11.6833
		},
		{
			"weight": 8,
			"lat": 47.8667,
			"lng": 11.4
		},
		{
			"weight": 14,
			"lat": 47.9167,
			"lng": 11.4167
		},
		{
			"weight": 10,
			"lat": 48.0833,
			"lng": 11.9667
		},
		{
			"weight": 23,
			"lat": 48.0833,
			"lng": 11.75
		},
		{
			"weight": 5,
			"lat": 47.8333,
			"lng": 11.3
		},
		{
			"weight": 5,
			"lat": 48.3333,
			"lng": 11.75
		},
		{
			"weight": 5,
			"lat": 47.8833,
			"lng": 12.3333
		},
		{
			"weight": 3,
			"lat": 48.2667,
			"lng": 10.8333
		},
		{
			"weight": 6,
			"lat": 48.1667,
			"lng": 11.9167
		},
		{
			"weight": 7,
			"lat": 47.9,
			"lng": 11.85
		},
		{
			"weight": 3,
			"lat": 48.8833,
			"lng": 12.5667
		},
		{
			"weight": 24,
			"lat": 47.8833,
			"lng": 11.7
		},
		{
			"weight": 15,
			"lat": 47.7333,
			"lng": 11.55
		},
		{
			"weight": 11,
			"lat": 48.05,
			"lng": 11.7
		},
		{
			"weight": 72,
			"lat": 48.05,
			"lng": 11.7
		},
		{
			"weight": 4,
			"lat": 47.8333,
			"lng": 11.7333
		},
		{
			"weight": 3,
			"lat": 48.2667,
			"lng": 12.05
		},
		{
			"weight": 15,
			"lat": 48.05,
			"lng": 11.5167
		},
		{
			"weight": 19,
			"lat": 48.1167,
			"lng": 11.7833
		},
		{
			"weight": 3,
			"lat": 48.0833,
			"lng": 10.8833
		},
		{
			"weight": 3,
			"lat": 48.0333,
			"lng": 10.9167
		},
		{
			"weight": 5,
			"lat": 48.0167,
			"lng": 10.6
		},
		{
			"weight": 13,
			"lat": 47.9667,
			"lng": 11.65
		},
		{
			"weight": 3,
			"lat": 48.0167,
			"lng": 11.8167
		},
		{
			"weight": 3,
			"lat": 47.7167,
			"lng": 11.4167
		},
		{
			"weight": 7,
			"lat": 48.4,
			"lng": 11.7333
		},
		{
			"weight": 4,
			"lat": 48.4,
			"lng": 11.7333
		},
		{
			"weight": 18,
			"lat": 48,
			"lng": 11.1833
		},
		{
			"weight": 23,
			"lat": 47.9667,
			"lng": 11.35
		},
		{
			"weight": 7,
			"lat": 47.6446,
			"lng": 11.7452
		},
		{
			"weight": 3,
			"lat": 47.5667,
			"lng": 10.7
		},
		{
			"weight": 3,
			"lat": 48.3667,
			"lng": 10.8833
		},
		{
			"weight": 3,
			"lat": 47.5,
			"lng": 11.2833
		},
		{
			"weight": 42,
			"lat": 48,
			"lng": 11.35
		},
		{
			"weight": 7,
			"lat": 47.9167,
			"lng": 11.5167
		},
		{
			"weight": 5,
			"lat": 48.0167,
			"lng": 11.6833
		},
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			"weight": 6,
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			"lng": 10.6167
		},
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			"lng": 11.4333
		},
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			"lat": 48.7667,
			"lng": 11.4333
		},
		{
			"weight": 16,
			"lat": 48.3167,
			"lng": 11.6667
		},
		{
			"weight": 16,
			"lat": 47.5,
			"lng": 11.1
		},
		{
			"weight": 11,
			"lat": 48.1167,
			"lng": 11.7833
		},
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			"lat": 48.6,
			"lng": 11.7667
		},
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		},
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		},
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			"lng": 11.4333
		},
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			"lng": 11.7833
		},
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			"lat": 47.55,
			"lng": 9.68333
		},
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			"weight": 21,
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			"lng": 11.35
		},
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			"lat": 48.1,
			"lng": 11.7333
		},
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			"weight": 4,
			"lat": 47.75,
			"lng": 11.3833
		},
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			"weight": 22,
			"lat": 48.1833,
			"lng": 11.25
		},
		{
			"weight": 3,
			"lat": 47.7,
			"lng": 10.35
		},
		{
			"weight": 12,
			"lat": 48.0667,
			"lng": 11.25
		},
		{
			"weight": 4,
			"lat": 48.3833,
			"lng": 11.4167
		},
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			"weight": 5,
			"lat": 48.3,
			"lng": 11.4667
		},
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			"weight": 113,
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			"lng": 11.5833
		},
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			"lng": 11.5833
		},
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			"lat": 48.15,
			"lng": 11.5833
		},
		{
			"weight": 59,
			"lat": 48.15,
			"lng": 11.5833
		},
		{
			"weight": 90,
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		},
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		},
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		},
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			"weight": 3,
			"lat": 48.25,
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		{
			"weight": 90,
			"lat": 48.05,
			"lng": 11.5167
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		{
			"weight": 33,
			"lat": 48.1,
			"lng": 11.4
		},
		{
			"weight": 13,
			"lat": 48.0167,
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		{
			"weight": 3,
			"lat": 47.8667,
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		{
			"weight": 3,
			"lat": 47.7167,
			"lng": 12.1333
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			"weight": 47,
			"lat": 48.05,
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		},
		{
			"weight": 44,
			"lat": 48.1333,
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		},
		{
			"weight": 3,
			"lat": 48.0333,
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function initMap() {
	map = new       google.maps.Map(document.getElementById('map'), {
		zoom: 8,
		center: {
			lat: shopsdata[0].lat,
			lng: shopsdata[0].lng
		},
    mapTypeId: google.maps.MapTypeId.HYBRID
	});
  
	var locations = getLocationDataForHeapMap();
  console.log(locations.length)
	heatmap = new google.maps.visualization.HeatmapLayer({
		data:locations ,
		map: map,
    radius : 20
	});
}

function toggleHeatmap() {
              heatmap.setMap(heatmap.getMap() ? null : map);

}
function toggleMarker() {
			for (var i = 0; i < shopsdata.length; i++) {
        if(posMarkers[i].getVisible()) {
          posMarkers[i].setVisible(false);
        }
        else {
          posMarkers[i].setVisible(true);
        }
      } 
}
function getLocationDataForHeapMap() {
	var locations = [];
  

	for (var i = 0; i < weightdata.length; i++) {
  	var latlng = new google.maps.LatLng(weightdata[i].lat, weightdata[i].lng)
		locations[i] = {
			location: latlng,
			weight: weightdata[i].weight
		}
	}
  console.log(locations)
  
  var icon = {
    url: "https://comosaconnect.org/wp-content/uploads/2017/04/os_directory.png",
    scaledSize: new google.maps.Size(30, 30), 
    origin: new google.maps.Point(0,0), 
    anchor: new google.maps.Point(15, 15) 
};
  	for (var i = 0; i < shopsdata.length; i++) {
    var latlng = new google.maps.LatLng(shopsdata[i].lat, shopsdata[i].lng)
  var marker = new google.maps.Marker({
    map: map,
    position: latlng,
    title : shopsdata[i].shop_name,
    info: "<DIV><STRONG>("+shopsdata[i].shop_id+")"+shopsdata[i].shop_name+"</STRONG><BR>"+
    'Street: ' + shopsdata[i].street + '<BR>' +
    'Postcode: ' + shopsdata[i].postcode + '<BR>' +
    'City: ' + shopsdata[i].city + '<BR>' +
    'Country: ' + shopsdata[i].country + '<BR>' +
    'Revenue: ' + shopsdata[i].revenue + '<BR>' +
    "</DIV>",
    icon:icon,
    visible : true
		});
    posMarkers[i] = marker;
     google.maps.event.addListener(marker, 'click', function()             {
			       infowindow = new google.maps.InfoWindow();
              infowindow.setContent(marker.info);
              infowindow.open(map, this);
            });
            }
	return locations;
}
/* Always set the map height explicitly to define the size of the div
 * element that contains the map. */
#map {
  height: 100%;
}
/* Optional: Makes the sample page fill the window. */
html, body {
  height: 100%;
  margin: 0;
  padding: 0;
}
#floating-panel {
  position: absolute;
  top: 10px;
  left: 25%;
  z-index: 5;
  background-color: #fff;
  padding: 5px;
  border: 1px solid #999;
  text-align: center;
  font-family: 'Roboto','sans-serif';
  line-height: 30px;
  padding-left: 10px;
}
#floating-panel {
  background-color: #fff;
  border: 1px solid #999;
  left: 25%;
  padding: 5px;
  position: absolute;
  top: 10px;
  z-index: 5;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<div id="map"></div>
<!-- Replace the value of the key parameter with your own API key. -->
<script async defer
        src="https://maps.googleapis.com/maps/api/js?key=AIzaSyCkUOdZ5y7hMm0yrcCQoCvLwzdM6M8s5qk&libraries=visualization&callback=initMap">
    </script>

请问是Google图书馆问题还是如何解决?

0 个答案:

没有答案