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