This program allows you to explore the world's cities.
Each circle represents a city. Each filled in pixel of a circle represents 50,000 people. When city circles overlap, they appear brighter, so brightness can be interpreted as population density.
The data comes from Geonames and shows only cities with population >100,000.
Draws from:
Enjoy exploring!
--Curran, April 2015
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<html>
<head>
<meta charset="utf-8">
<title>D3 Example</title>
<script src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/d3-tip/0.6.3/d3-tip.min.js"></script>
<link href='https://fonts.googleapis.com/css?family=Raleway' rel='stylesheet' type='text/css'>
<style>
body {
background: black;
}
circle {
fill: rgba(255, 255, 255, 0.2);
}
circle:hover {
stroke: white;
stroke-width: 0.5px;
}
.d3-tip {
font-family: 'Raleway', sans-serif;
font-size: 1.5em;
line-height: 1;
padding: 7px;
background: black;
color: lightgray;
border-radius: 20px;
}
</style>
</head>
<body>
<script>
var outerWidth = 960;
var outerHeight = 500;
var margin = { left: -100, top: 0, right: -100, bottom: 0 };
var xColumn = "longitude";
var yColumn = "latitude";
var rColumn = "population";
var peoplePerPixel = 50000;
var innerWidth = outerWidth - margin.left - margin.right;
var innerHeight = outerHeight - margin.top - margin.bottom;
var svg = d3.select("body").append("svg")
.attr("width", outerWidth)
.attr("height", outerHeight);
var zoom = d3.behavior.zoom()
.scaleExtent([1, 20])
.on("zoom", zoomed);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoom);
var rect = g.append("rect")
.attr("width", outerWidth)
.attr("height", outerHeight)
.style("fill", "none")
.style("pointer-events", "all");
var container = g.append("g");
function zoomed(){
container.attr("transform", "translate(" + d3.event.translate + ")scale(" + d3.event.scale + ")");
}
var populationFormat = d3.format(",");
var tip = d3.tip()
.attr("class", "d3-tip")
.offset([-10, 0])
.html(function(d) {
return d.name + ": " + populationFormat(d.population);
});
g.call(tip);
var xScale = d3.scale.linear().range([0, innerWidth]);
var yScale = d3.scale.linear().range([innerHeight, 0]);
var rScale = d3.scale.sqrt();
function render(data){
xScale.domain( d3.extent(data, function (d){ return d[xColumn]; }));
yScale.domain( d3.extent(data, function (d){ return d[yColumn]; }));
rScale.domain([0, d3.max(data, function (d){ return d[rColumn]; })]);
// Compute the size of the biggest circle as a function of peoplePerPixel.
var peopleMax = rScale.domain()[1];
var rMin = 0;
var rMax = Math.sqrt(peopleMax / (peoplePerPixel * Math.PI));
rScale.range([rMin, rMax]);
var circles = container.selectAll("circle").data(data);
circles.enter().append("circle");
circles
.attr("cx", function (d){ return xScale(d[xColumn]); })
.attr("cy", function (d){ return yScale(d[yColumn]); })
.attr("r", function (d){ return rScale(d[rColumn]); })
.on("mouseover", tip.show)
.on("mouseout", tip.hide);
circles.exit().remove();
}
function type(d){
d.latitude = +d.latitude;
d.longitude = +d.longitude;
d.population = +d.population;
return d;
}
d3.csv("geonames_cities100000.csv", type, render);
</script>
</body>
</html>
https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js
https://cdnjs.cloudflare.com/ajax/libs/d3-tip/0.6.3/d3-tip.min.js