acb9f950df
Previously examples would either use the now deprecated `window.$` or the non-API-method `OpenLayers.Util.getElement`. This was well caught by @probins and @elemoine.
239 lines
9.3 KiB
HTML
239 lines
9.3 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0">
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<meta name="apple-mobile-web-app-capable" content="yes">
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<title>OpenLayers Cluster Strategy Example</title>
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<link rel="stylesheet" href="../theme/default/style.css" type="text/css">
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<link rel="stylesheet" href="style.css" type="text/css">
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<style type="text/css">
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#photos {
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height: 100px;
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width: 512px;
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position: relative;
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white-space: nowrap;
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}
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.shift {
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height: 25px;
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line-height: 25px;
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background-color: #fefefe;
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text-align: center;
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position: absolute;
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bottom: 10px;
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font-size: 8px;
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font-weight: bold;
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color: #696969;
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width: 25px;
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}
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#scroll-start {
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left: 0px;
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}
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#scroll-end {
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right: 0px;
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}
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#scroll {
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left: 30px;
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width: 452px;
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height: 100px;
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overflow: hidden;
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position: absolute;
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bottom: 0px;
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}
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#photos ul {
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position: absolute;
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bottom: 0px;
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padding: 0;
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margin: 0;
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}
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#photos ul.start {
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left: 0px;
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}
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#photos ul.end {
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right: 80px;
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}
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#photos ul li {
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padding: 10px;
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margin: 0;
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list-style: none;
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display: inline;
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}
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img.thumb {
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height: 30px;
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}
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img.big {
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height: 90px;
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}
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</style>
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<script src="../lib/OpenLayers.js"></script>
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<script src="Jugl.js"></script>
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<script src="animator.js"></script>
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<script type="text/javascript">
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var map, template;
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/**
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* A specific format for parsing Flickr API JSON responses.
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*/
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OpenLayers.Format.Flickr = OpenLayers.Class(OpenLayers.Format, {
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read: function(obj) {
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if(obj.stat === 'fail') {
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throw new Error(
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['Flickr failure response (',
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obj.code,
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'): ',
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obj.message].join(''));
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}
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if(!obj || !obj.photos ||
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!OpenLayers.Util.isArray(obj.photos.photo)) {
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throw new Error(
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'Unexpected Flickr response');
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}
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var photos = obj.photos.photo, photo,
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x, y, point,
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feature, features = [];
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for(var i=0,l=photos.length; i<l; i++) {
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photo = photos[i];
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x = photo.longitude;
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y = photo.latitude;
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point = new OpenLayers.Geometry.Point(x, y);
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feature = new OpenLayers.Feature.Vector(point, {
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title: photo.title,
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img_url: photo.url_s
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});
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features.push(feature);
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}
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return features;
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}
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});
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function init() {
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map = new OpenLayers.Map('map');
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var base = new OpenLayers.Layer.OSM();
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var style = new OpenLayers.Style({
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pointRadius: "${radius}",
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fillColor: "#ffcc66",
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fillOpacity: 0.8,
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strokeColor: "#cc6633",
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strokeWidth: 2,
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strokeOpacity: 0.8
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}, {
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context: {
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radius: function(feature) {
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return Math.min(feature.attributes.count, 7) + 3;
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}
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}
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});
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var photos = new OpenLayers.Layer.Vector("Photos", {
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projection: "EPSG:4326",
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strategies: [
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new OpenLayers.Strategy.Fixed(),
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new OpenLayers.Strategy.Cluster()
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],
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protocol: new OpenLayers.Protocol.Script({
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url: "http://api.flickr.com/services/rest",
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params: {
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api_key: 'b5e8c0e287e678671c3d8b2c0f3ced85',
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format: 'json',
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method: 'flickr.photos.search',
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extras: 'geo,url_s',
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per_page: 150,
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page: 1,
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bbox: [-180, -90, 180, 90]
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},
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callbackKey: 'jsoncallback',
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format: new OpenLayers.Format.Flickr()
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}),
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styleMap: new OpenLayers.StyleMap({
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"default": style,
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"select": {
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fillColor: "#8aeeef",
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strokeColor: "#32a8a9"
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}
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})
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});
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var select = new OpenLayers.Control.SelectFeature(
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photos, {hover: true}
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);
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map.addControl(select);
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select.activate();
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photos.events.on({"featureselected": display});
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map.addLayers([base, photos]);
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map.setCenter(new OpenLayers.LonLat(0, 0), 1);
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// template setup
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template = new jugl.Template("template");
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}
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function display(event) {
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// clear previous photo list and create new one
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document.getElementById("photos").innerHTML = "";
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var node = template.process({
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context: {features: event.feature.cluster},
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clone: true,
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parent: document.getElementById("photos")
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});
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// set up forward/rewind
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var forward = Animator.apply(document.getElementById("list"), ["start", "end"], {duration: 1500});
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document.getElementById("scroll-end").onmouseover = function() {forward.seekTo(1)};
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document.getElementById("scroll-end").onmouseout = function() {forward.seekTo(forward.state)};
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document.getElementById("scroll-start").onmouseover = function() {forward.seekTo(0)};
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document.getElementById("scroll-start").onmouseout = function() {forward.seekTo(forward.state)};
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// set up photo zoom
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for(var i=0; i<event.feature.cluster.length; ++i) {
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listen(document.getElementById("link-" + i), Animator.apply(document.getElementById("photo-" + i), ["thumb", "big"]));
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}
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}
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function listen(el, anim) {
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el.onmouseover = function() {anim.seekTo(1)};
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el.onmouseout = function() {anim.seekTo(0)};
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}
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</script>
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</head>
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<body onload="init()">
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<h1 id="title">Cluster Strategy Example</h1>
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<div id="tags">
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vector, feature, stylemap, cluster, strategy, flickr, script
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</div>
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<p id="shortdesc">
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Uses a cluster strategy to render points representing clusters of features.
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</p>
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<div id="map" class="smallmap"></div>
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<div id="docs">
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<p>The Cluster strategy lets you display points representing clusters
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of features within some pixel distance.</p>
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<p>This particular example uses the <a
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href="http://www.flickr.com/services/api/">Flickr API.</a></p>
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</div>
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<div id="photos"></div>
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<p>Hover over a cluster on the map to see the photos it includes.</p>
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<div style="display: none;">
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<div id="template">
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<div class="shift" id="scroll-start"><<</div>
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<div id="scroll">
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<ul id="list" class="start">
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<li jugl:repeat="feature features">
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<a jugl:attributes="href feature.attributes.img_url;
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id 'link-' + repeat.feature.index"
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target="_blank">
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<img jugl:attributes="src feature.attributes.img_url;
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title feature.attributes.title;
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id 'photo-' + repeat.feature.index"
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class="thumb" />
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</a>
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</li>
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</ul>
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</div>
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<div class="shift" id="scroll-end">>></div>
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</div>
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</div>
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</body>
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</html>
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