138 lines
6.4 KiB
HTML
138 lines
6.4 KiB
HTML
<html>
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<head>
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<title>Map Demo</title>
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<link rel="stylesheet" href="https://unpkg.com/leaflet@1.7.1/dist/leaflet.css" integrity="sha512-xodZBNTC5n17Xt2atTPuE1HxjVMSvLVW9ocqUKLsCC5CXdbqCmblAshOMAS6/keqq/sMZMZ19scR4PsZChSR7A==" crossorigin=""/>
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<script src="https://unpkg.com/leaflet@1.7.1/dist/leaflet.js" integrity="sha512-XQoYMqMTK8LvdxXYG3nZ448hOEQiglfqkJs1NOQV44cWnUrBc8PkAOcXy20w0vlaXaVUearIOBhiXZ5V3ynxwA==" crossorigin=""></script>
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<style>
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*{
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font-family: Arial, Helvetica, sans-serif;
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}
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body{
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margin: 0px;
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}
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.header{
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font-weight: bold;
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font-size: 2.0em;
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}
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#mapid {
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width: 600px;
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float: left;
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height: 600px;
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}
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#controls {
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padding-left: 10px;
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display: flex;
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align-items: center;
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height: 600px;
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width: 600px;
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}
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</style>
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</head>
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<body>
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<div id="visualize_geolocation">
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<div id="mapid"></div>
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<div id="controls">
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<div>
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<span class="header">Visualizing Geolocation</span><br>
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<p>
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Most people are at least somewhat familiar with the notion of geolocation of users by communications networks.
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However, this can be hard to visualize, and the differences between the geolocation capabilities of various types of network
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(which are often quite substantial) are often ignored.
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</p>
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<p>
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This tool allows you to visualize the accuracy with which a user's location can be determined (shown as a red circle), using
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a map of real-world cities for scale. We hope this makes clear why we believe FemtoStar's geolocation-resistance to be so important.
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</p>
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<b>Pick a city</b><br>
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<input type="radio" id="button_nyc" name="city" onclick="setCity('nyc');" checked>
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<label for="button_nyc">New York City, USA</label><br>
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<input type="radio" id="button_rio" name="city" onclick="setCity('rio');">
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<label for="button_rio">Rio de Janeiro, Brazil</label><br>
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<input type="radio" id="button_berlin" name="city" onclick="setCity('berlin');">
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<label for="button_berlin">Berlin, Germany</label><br>
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<input type="radio" id="button_capetown" name="city" onclick="setCity('capetown');">
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<label for="button_capetown">Cape Town, South Africa</label><br>
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<input type="radio" id="button_tokyo" name="city" onclick="setCity('tokyo');">
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<label for="button_tokyo">Tokyo, Japan</label><br>
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<input type="radio" id="button_sydney" name="city" onclick="setCity('sydney');">
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<label for="button_sydney">Sydney, Australia</label>
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<br><br>
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<b>Pick a network type</b><br>
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<input type="radio" id="button_gps" name="network" onclick="setNetwork('gps');">
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<label for="button_gps">Network with GPS reporting (incl. most geostationary satellite networks)</label><br>
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<input type="radio" id="button_cellular_urban" name="network" onclick="setNetwork('cellular_urban');" checked>
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<label for="button_cellular_urban">Cellular network (urban area, no GPS reporting)</label><br>
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<input type="radio" id="button_cellular_rural" name="network" onclick="setNetwork('cellular_rural');">
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<label for="button_cellular_rural">Cellular network (rural area, no GPS reporting)</label><br>
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<input type="radio" id="button_satellite" name="network" onclick="setNetwork('satellite');">
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<label for="button_satellite">Traditional satellite network (non-geostationary orbit, no GPS reporting)</label><br>
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<input type="radio" id="button_femtostar" name="network" onclick="setNetwork('femtostar');">
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<label for="button_femtostar">FemtoStar</label>
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</div>
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</div>
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</div>
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<script>
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/* Tileservers that work well:
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https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png
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http://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}
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*/
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var tileserver = "https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}";
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var set_city = "nyc";
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var set_network = "cellular_urban";
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let cities = {
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"nyc": [40.758896, -73.985130],
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"rio": [-22.91141, -43.16921],
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"berlin": [52.51938, 13.40884],
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"capetown": [-33.91496, 18.42453],
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"tokyo": [35.67671, 139.75294],
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"sydney": [-33.85907, 151.20810]
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}
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let networks = {
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"gps": {"accuracy": 5, "zoom": 18},
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"cellular_urban": {"accuracy": 60, "zoom": 17},
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"cellular_rural": {"accuracy": 400, "zoom": 14},
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"satellite": {"accuracy": 750, "zoom": 13},
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"femtostar": {"accuracy": 300000, "zoom": 4}
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}
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function setNetwork(new_network){
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set_network = new_network;
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circle.setRadius(networks[set_network].accuracy);
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mymap.flyTo(cities[set_city], networks[set_network].zoom);
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}
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function setCity(new_city){
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set_city = new_city;
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circle.setRadius(networks[set_network].accuracy);
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circle.setLatLng(cities[set_city]);
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mymap.flyTo(cities[set_city], networks[set_network].zoom, {
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animate: false,
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duration: 6
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});
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}
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document.getElementById("button_cellular_urban").checked = true;
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document.getElementById("button_nyc").checked = true;
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var mymap = L.map('mapid').setView([40.758896, -73.985130], 17);
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L.tileLayer(tileserver, {
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maxZoom: 18,
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attribution: 'Map data © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community',
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id: 'mapbox/streets-v11'
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}).addTo(mymap);
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var circle = L.circle([40.758896, -73.985130], {
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color: 'red',
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fillColor: '#f03',
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fillOpacity: 0.5,
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radius: 60
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}).addTo(mymap);
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</script>
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</body>
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</html> |