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Travel time analysis of multiple locations.html
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Travel time analysis of multiple locations.html
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<!DOCTYPE html>
<html lang="en">
<head>
<title>Travel time analysis of multiple locations - Azure Maps Web SDK Samples</title>
<meta charset="utf-8" />
<link rel="shortcut icon" href="/favicon.ico"/>
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
<meta name="description" content="This sample shows how to add calculate travel times areas for multiple points, and then spatially join these travel time polygons with a secondary set of points to calculate aggregates." />
<meta name="keywords" content="Microsoft maps, map, gis, API, SDK, spatial analysis, spatial join, travel time, isochrone, route range, within, intersects, intersection, temporal, temporal analysis" />
<meta name="author" content="Microsoft Azure Maps" /><meta name="version" content="1.0" />
<meta name="screenshot" content="screenshot.jpg" />
<!-- Add references to the Azure Maps Map control JavaScript and CSS files. -->
<link href="https://atlas.microsoft.com/sdk/javascript/mapcontrol/3/atlas.min.css" rel="stylesheet" />
<script src="https://atlas.microsoft.com/sdk/javascript/mapcontrol/3/atlas.min.js"></script>
<!-- Add a reference to the Azure Maps Services Module JavaScript file. -->
<script src="https://atlas.microsoft.com/sdk/javascript/service/2/atlas-service.min.js"></script>
<!-- Add reference to the Azure Maps Spatial IO module. -->
<script src="https://atlas.microsoft.com/sdk/javascript/spatial/0/atlas-spatial.min.js"></script>
<!-- Load turf.js a spatial math library. https://turfjs.org/ -->
<script src='/lib/turf.min.js'></script>
<script>
var map, datasource, routeURL, layer;
var policeStationsUrl = '/data/SpatialCSV/Chicago_Police_Stations.csv';
var bikeRacksUrl = '/data/SpatialCSV/Chicago_Bike_Racks.csv';
function getMap() {
//Initialize a map instance.
map = new atlas.Map('myMap', {
style: 'grayscale_light',
view: 'Auto',
//Add authentication details for connecting to Azure Maps.
authOptions: {
//Use Microsoft Entra ID authentication.
authType: 'anonymous',
clientId: 'e6b6ab59-eb5d-4d25-aa57-581135b927f0', //Your Azure Maps client id for accessing your Azure Maps account.
getToken: function (resolve, reject, map) {
//URL to your authentication service that retrieves an Microsoft Entra ID Token.
var tokenServiceUrl = 'https://samples.azuremaps.com/api/GetAzureMapsToken';
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]'
}
});
//Use MapControlCredential to share authentication between a map control and the service module.
var pipeline = atlas.service.MapsURL.newPipeline(new atlas.service.MapControlCredential(map));
//Construct the RouteURL object
routeURL = new atlas.service.RouteURL(pipeline);
//Wait until the map resources are ready.
map.events.add('ready', function () {
//Create a popup but leave it closed so we can update it and display it later.
popup = new atlas.Popup();
//Create a data source ad add it to the map.
datasource = new atlas.source.DataSource();
map.sources.add(datasource);
//Add a simple data layer for rendering the data.
layer = new atlas.layer.PolygonLayer(datasource, null, {
fillColor: [
'step',
['get', 'totalBikeRacks'],
'transparent',
1, '#f0f9e8',
2, '#bae4bc',
3, '#7bccc4',
4, '#43a2ca',
5, '#0868ac'
],
fillOpacity: 0.8
});
map.layers.add(layer, 'labels');
//Add a click event to the layers.
map.events.add('click', layer, showPopup);
map.layers.add(new atlas.layer.LineLayer(datasource, null, {
strokeColor: 'black'
}));
//Add a bubble layer for displaying police stations.
map.layers.add(new atlas.layer.BubbleLayer(datasource, null, {
createIndicators: true, // to enable bubble layer a11y feature
filter: ['==', ['geometry-type'], 'Point']
}));
document.getElementById('statusPanel').innerHTML = '<br/>Downloading data...';
//Download the police station and crime data in parrallel.
Promise.all([
atlas.io.read(policeStationsUrl),
atlas.io.read(bikeRacksUrl)
]).then(function (values) {
var stations = values[0];
var bikeRacks = values[1];
//Update map view to display the area of bike racks.
map.setCamera({
bounds: bikeRacks.bbox
});
//Add the police station data to the map.
datasource.add(stations);
var routeRangePromises = [];
//Calculate the travel time polygons from each station.
for (var i = 0; i < stations.features.length; i++) {
routeRangePromises.push(routeURL.calculateRouteRange(atlas.service.Aborter.timeout(10000), stations.features[i].geometry.coordinates, {
travelMode: 'car',
timeBudgetInSec: 5 * 60 //5 minutes.
}));
}
Promise.all(routeRangePromises).then(values => {
var isochrones = [];
for (var i = 0; i < values.length; i++) {
var data = values[i].geojson.getFeatures();
//Copy the properties of the police station to the travel time polygon.
data.features[0].properties = stations.features[i].properties;
//Spatially join the bike rack data with each travel time polygon, then use the total number of bike racks as the aggregate.
var ptsWithin = turf.pointsWithinPolygon(bikeRacks, data.features[0]);
data.features[0].properties.totalBikeRacks = ptsWithin.features.length;
//The first feature is the polygon, the second is the origin point which we can leave out.
//Close the polygon.
data.features[0].geometry.coordinates[0].push(data.features[0].geometry.coordinates[0][0]);
isochrones.push(data.features[0]);
}
datasource.add(isochrones);
});
document.getElementById('statusPanel').innerHTML = '';
});
});
}
function showPopup(e) {
if (e.shapes && e.shapes.length > 0) {
var properties = e.shapes[0].getProperties();
popup.setOptions({
//Update the content of the popup.
content: atlas.PopupTemplate.applyTemplate(properties, {
title: '{totalBikeRacks} bike racks'
}),
//Update the position of the popup.
position: (e.shapes[0].getType() === 'Point') ? e.shapes[0].getCoordinates() : e.position
});
//Open the popup.
popup.open(map);
}
}
</script>
<style>
#myMap {
position: relative;
width: 100%;
min-width: 290px;
height: 600px;
}
.legend {
font-family: Arial;
font-size: 12px;
position: absolute;
top: 480px;
background-color: #fff;
padding: 5px;
border-radius: 5px;
}
.legend i {
width: 12px;
height: 12px;
float: left;
margin-right: 8px;
opacity: 0.7;
}
</style>
</head>
<body onload="getMap()">
<div id="myMap"></div>
<div class="legend" style="left: 15px;">
<b>Number of Bike Racks</b>
<table>
<tr><td><i style='background:#0868ac' /></td><td>5+</td></tr>
<tr><td><i style='background:#43a2ca' /></td><td>4</td></tr>
<tr><td><i style='background:#7bccc4' /></td><td>3</td></tr>
<tr><td><i style='background:#bae4bc' /></td><td>2</td></tr>
<tr><td><i style='background:#f0f9e8' /></td><td>1</td></tr>
</table>
<div id="statusPanel"></div>
</div>
<fieldset style="width:calc(100% - 30px);min-width:290px;margin-top:10px;">
<legend>Travel time analysis of multiple locations</legend>
This sample shows how to add calculate travel times areas for multiple points, and then spatially join these travel time polygons with a secondary set of points to calculate aggregates.
This sample uses the Azure Maps Route Range service to calculate a 5 minute car (driving) travel time around police stations in Chicago, and then joins it with the location of bike racks.
This analysis tells us how many bike racks are within a 5 minute driving of a police station in Chicago.
This sample uses the open source <a href="https://turfjs.org/" target="_blank">Turf.js</a> library to for some of the spatial calculation.
</fieldset>
</body>
</html>