mapv
Version:
a library of geography visualization
105 lines (79 loc) • 2.51 kB
HTML
<html>
<head>
<meta charset="UTF-8">
<title></title>
<style type="text/css">
html, body {
width: 100%;
height: 100%;
margin: 0;
padding: 0;
background:black;
overflow: hidden;
}
#canvas {
}
</style>
</head>
<body>
<canvas id="canvas"></canvas>
<script type="text/javascript" src="../build/mapv.js"></script>
<script type="text/javascript">
var canvas = document.querySelector('#canvas');
canvas.width = document.body.offsetWidth;
canvas.height = document.body.offsetHeight;
var ctx = canvas.getContext('2d');
/* test */
var node_data = {
"0":{"x":922.24444, "y":347.29444},
"1":{"x":814.42222, "y":409.16111},
"2":{"x":738, "y":427.33333000000005},
"3":{"x":784.5, "y":381.33333},
"4":{"x":1066.09167, "y":350.40278},
"5":{"x":925.4861099999999, "y":313.275}
}
var edge_data = [
{"source":"0", "target":"1"}
]
var randomCount = 700;
while (randomCount--) {
node_data[randomCount] = {
x: ctx.canvas.width * Math.random(),
y: ctx.canvas.height * Math.random(),
}
edge_data.push(
{"source": ~~(randomCount * Math.random()), "target": 0}
);
}
var fbundling = mapv.utilForceEdgeBundling()
.step_size(3.0)
.nodes(node_data)
.edges(edge_data);
var results = fbundling();
var data = [];
for (var i = 0; i < results.length; i++) {
var line = results[i];
var coordinates = [];
for (var j = 0; j < line.length; j++) {
coordinates.push([line[j].x, line[j].y]);
}
data.push({
geometry: {
type: 'LineString',
coordinates: coordinates
}
});
}
var options = {
strokeStyle: 'rgba(55, 55, 250, 0.8)',
lineWidth: 0.5,
globalCompositeOperation: 'lighter',
draw: 'simple'
}
var dataSet = new mapv.DataSet(data);
mapv.canvasResolutionScale(ctx);
mapv.canvasDrawSimple.draw(ctx, dataSet, options);
</script>
</body>
</html>