| <!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> |
View Raw
(Sorry about that, but we can’t show files that are this big right now.)
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment