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Plot vector points on a cropped raster image with d3.js
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<!doctype html> | |
<meta charset="utf-8"> | |
<body> | |
<style media="screen"> | |
body { | |
margin: 0; | |
} | |
.supermarket { | |
fill: red; | |
stroke: #c00; | |
} | |
</style> | |
<script src="http://d3js.org/d3.v3.min.js"></script> | |
<div class="js-map map"></div> | |
<script charset="utf-8"> | |
var el = d3.select('.js-map'), | |
// 150 DPI image | |
width = 1743 / 2, | |
// 150 DPI image | |
height = 1421 / 2, | |
// Exported bounds of raster image | |
rasterBounds = [[-122.7895, 45.4394], [-122.5015, 45.6039]] | |
var projection = d3.geo.mercator() | |
.scale(1) | |
.translate([0, 0]) | |
var path = d3.geo.path() | |
.projection(projection) | |
var map = el.append('svg') | |
.attr('width', width) | |
.attr('height', height) | |
map.append('image') | |
.attr('xlink:href', 'raster.png') | |
.attr('width', width) | |
.attr('height', height) | |
d3.json('supermarkets.json', function(err, data) { | |
var b = [projection(rasterBounds[0]), projection(rasterBounds[1])], | |
s = 1 / Math.max((b[1][0] - b[0][0]) / width, (b[1][1] - b[0][1]) / height), | |
t = [(width - s * (b[1][0] + b[0][0])) / 2, (height - s * (b[1][1] + b[0][1])) / 2] | |
projection | |
.scale(s) | |
.translate(t) | |
map.selectAll('.supermarket') | |
.data(data.features) | |
.enter().append('circle') | |
.attr('class', 'supermarket') | |
.attr('r', 2) | |
.each(function(d) { | |
var lonlat = projection(d.geometry.coordinates); | |
d3.select(this) | |
.attr('cx', lonlat[0]) | |
.attr('cy', lonlat[1]) | |
}) | |
}) | |
</script> | |
</body> |
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