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@espetro
Last active May 13, 2017 18:32
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D3 challenge month [2,1]: intro to maps + zooming + ES6

This gist has been inspired in this d3noobs' article about maps. It is the easiest way I've found to introduce SVG maps, whilst expanding the concept with the usual zooming/panning used to visualize maps. Since the previus D3 gist, I will be using ES6 Javascript specification as a standard to make shorter, more comprehensible scripts. Note that I'm using D3.v3.

Despite its simplicity, I've walked a long way before understanding the basic concepts 😭, because there are so complete yet tricky examples out there. For the sake of those who understand JS better, these tutorials may be useful to you:

code city country lat lon
ZNZ ZANZIBAR TANZANIA -6.13 39.31
TYO TOKYO JAPAN 35.68 139.76
AKL AUCKLAND NEW ZEALAND -36.85 174.78
BKK BANGKOK THAILAND 13.75 100.48
DEL DELHI INDIA 29.01 77.38
SIN SINGAPORE SINGAPOR 1.36 103.75
BSB BRASILIA BRAZIL -15.67 -47.43
RIO RIO DE JANEIRO BRAZIL -22.90 -43.24
YTO TORONTO CANADA 43.64 -79.40
IPC EASTER ISLAND CHILE -27.11 -109.36
SEA SEATTLE USA 47.61 -122.33
<!DOCTYPE html>
<html>
<head>
<meta charset="UFT-8">
<title>World visualization</title>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="http://d3js.org/topojson.v0.min.js"></script>
<style type="text/css">
path {
stroke: white;
stroke-width: 0.3;
fill: grey;
}
circle {
fill: red;
}
</style>
</head>
<body>
<svg></svg>
<script type="text/javascript">
"use strict";
var width = 960,
height = 500;
var projection = d3.geo.mercator()
.center([0, 5]) // defaults to [0,0]
.scale(200) // defaults to 150
.rotate([-180, 0]);
var svg = d3.select("svg")
.attr("width", width)
.attr("height", height)
.append("g");
var path = d3.geo.path().projection(projection);
/*
On drawing maps, first load the GeoJSON because is bigger, then the data-
*/
d3.json("world-110m2.json", function (error, topo) {
svg.selectAll("path")
.data(topojson.object(topo, topo.objects.countries).geometries)
.enter()
.append("path")
.attr("d", path);
d3.csv("cities.csv", function (error, data) {
svg.selectAll("circle")
.data(data)
.enter()
.append("a")
.attr("xlink:href", function (dp) {
return "https://www.google.com/search?q=" + dp.city;
}).attr("target", "_blank")
.append("circle")
.attr("cx", function (dp) {
return projection([+dp.lon, +dp.lat])[0];
}).attr("cy", function (dp) {
return projection([+dp.lon, +dp.lat])[1];
}).attr("r", 5);
});
});
// zoom + pan behavior
var zoom = d3.behavior.zoom()
.on("zoom", function () {
svg.attr("transform", "translate( " + d3.event.translate.join(",") + ")scale( " + d3.event.scale + ") ");
svg.selectAll("circle").attr("d", path.projection(projection));
svg.selectAll("path").attr("d", path.projection(projection));
});
svg.call(zoom);
</script>
</body>
</html>
let width = 960,
height = 500;
let projection = d3.geo.mercator()
.center([0,5]) // defaults to [0,0]
.scale(200) // defaults to 150
.rotate([-180,0]);
let svg = d3.select("svg")
.attr("width", width)
.attr("height", height)
.append("g");
let path = d3.geo.path().projection(projection);
/*
On drawing maps, first load the GeoJSON because is bigger, then the data-
*/
d3.json("world-110m2.json", (error, topo) => {
svg.selectAll("path")
.data( topojson.object(topo, topo.objects.countries).geometries )
.enter()
.append("path")
.attr("d", path);
d3.csv("cities.csv", (error, data) => {
svg.selectAll("circle")
.data(data)
.enter()
.append("a")
.attr("xlink:href", dp => `https://www.google.com/search?q=${dp.city}`)
.attr("target", "_blank")
.append("circle")
.attr("cx", dp => projection([+dp.lon, +dp.lat])[0])
.attr("cy", dp => projection([+dp.lon, +dp.lat])[1])
.attr("r", 5);
});
});
// zoom + pan behavior
let zoom = d3.behavior.zoom()
.on("zoom", () => {
svg.attr("transform", `translate( ${d3.event.translate.join(",")})scale( ${d3.event.scale}) `);
svg.selectAll("circle")
.attr("d", path.projection(projection));
svg.selectAll("path")
.attr("d", path.projection(projection));
});
svg.call(zoom);
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