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<!DOCTYPE html>
<html lang="en">
<head>
<title>Cluster aggregates - Azure Maps Web SDK Samples</title>
<meta charset="utf-8" />
<link rel="shortcut icon" href="/favicon.ico"/>
<meta http-equiv="x-ua-compatible" content="IE=Edge" />
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
<meta name="description" content="This sample shows how to define custom properties on clusters that are defined using data-driven style expresison calculation. These calculations aggregate values across all points contained within the cluster." />
<meta name="keywords" content="Microsoft maps, map, gis, API, SDK, markers, pins, pushpins, symbols, layer, bubbles, clustering, superclusterer, cluster aggregate" />
<meta name="author" content="Microsoft Azure Maps" />
<!-- Add references to the Azure Maps Map control JavaScript and CSS files. -->
<link rel="stylesheet" href="https://atlas.microsoft.com/sdk/javascript/mapcontrol/2/atlas.min.css" type="text/css" />
<script src="https://atlas.microsoft.com/sdk/javascript/mapcontrol/2/atlas.min.js"></script>
<script type='text/javascript'>
var map, datasource, popup;
//GeoJSON feed that contains the data we want to map.
var geojsonFeed = '../../Common/data/geojson/SamplePoiDataSet.json';
//Colors for each EntityType property in point data: [Gas Station, Grocery Store, Restaurant, School]
var entityTypes = ['Gas Station', 'Grocery Store', 'Restaurant', 'School'];
function GetMap() {
//Point the Azure Maps domain to the US Azure Gov Cloud domain.
atlas.setDomain('atlas.azure.us');
//Initialize a map instance.
map = new atlas.Map('myMap', {
center: [-97, 39],
zoom: 3,
view: 'Auto',
//Add authentication details for connecting to Azure Maps.
authOptions: {
//Use Azure Active Directory authentication.
authType: 'anonymous',
clientId: 'c9f2f391-13f1-407b-a4a5-f0a241bacfbf', //Your Azure Active Directory client id for accessing your Azure Maps account.
getToken: function (resolve, reject, map) {
//URL to your authentication service that retrieves an Azure Active Directory Token.
var tokenServiceUrl = 'https://azuremapscodesamples.azurewebsites.us/Common/TokenService.ashx';
fetch(tokenServiceUrl).then(r => r.text()).then(token => resolve(token));
}
//Alternatively, use an Azure Maps key. Get an Azure Maps key at https://azure.com/maps. NOTE: The primary key should be used as the key.
//authType: 'subscriptionKey',
//subscriptionKey: '<Your Azure Maps Key>'
}
});
//Wait until the map resources are ready.
map.events.add('ready', function () {
//Create a reusable popup.
popup = new atlas.Popup();
//Create a data source and add it to the map.
datasource = new atlas.source.DataSource(null, {
cluster: true,
//The radius in pixels to cluster points together.
clusterRadius: 50,
//Calculate counts for each entity type in a cluster as custom aggregate properties.
clusterProperties: {
'Gas Station': ['+', ['case', ['==', ['get', 'EntityType'], 'Gas Station'], 1, 0]],
'Grocery Store': ['+', ['case', ['==', ['get', 'EntityType'], 'Grocery Store'], 1, 0]],
'Restaurant': ['+', ['case', ['==', ['get', 'EntityType'], 'Restaurant'], 1, 0]],
'School': ['+', ['case', ['==', ['get', 'EntityType'], 'School'], 1, 0]]
}
});
map.sources.add(datasource);
//Create a bubble layer for rendering clustered data points.
var clusterBubbleLayer = new atlas.layer.BubbleLayer(datasource, null, {
radius: 20,
color: 'purple',
strokeWidth: 0,
filter: ['has', 'point_count'] //Only rendered data points which have a point_count property, which clusters do.
});
//Add a click event to the layer so a popup can be displayed to show details about the cluster.
map.events.add('click', clusterBubbleLayer, clusterClicked);
//Add the clusterBubbleLayer and two additional layers to the map.
map.layers.add([
clusterBubbleLayer,
//Create a symbol layer to render the count of locations in a cluster.
new atlas.layer.SymbolLayer(datasource, null, {
iconOptions: {
image: 'none' //Hide the icon image.
},
textOptions: {
textField: ['get', 'point_count_abbreviated'],
offset: [0, 0.4],
color: 'white'
}
}),
//Create a layer to render the individual locations.
new atlas.layer.SymbolLayer(datasource, null, {
filter: ['!', ['has', 'point_count']] //Filter out clustered points from this layer.
})
]);
//Import the GeoJSON data into the data source.
datasource.importDataFromUrl(geojsonFeed);
});
}
function clusterClicked(e) {
if (e && e.shapes && e.shapes.length > 0 && e.shapes[0].properties.cluster) {
//Get the clustered point from the event.
var cluster = e.shapes[0];
var html = ['<div style="padding:10px;">'];
html.push(`<b>Cluster size: ${cluster.properties.point_count_abbreviated} entities</b><br/><br/>`);
//Loop though each entity type get the count from the clusterProperties of the cluster.
entityTypes.forEach(et => {
html.push(`${et}: ${cluster.properties[et]}<br/>`);
})
html.push('</div>');
//Update the options of the popup and open it on the map.
popup.setOptions({
position: cluster.geometry.coordinates,
content: html.join('')
});
popup.open(map);
}
}
</script>
</head>
<body onload="GetMap()">
<div id="myMap" style="position:relative;width:100%;min-width:290px;height:600px;"></div>
<fieldset style="width:calc(100% - 30px);min-width:290px;margin-top:10px;">
<legend><h1 style="font-size:16px">Cluster aggregates</h1></legend>
This sample shows how to define custom properties on clusters that are defined using data-driven style expresison calculation.
These calculations aggregate values across all points contained within the cluster.
</fieldset>
</body>
</html>