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Raster & Vector IV
license: gpl-3.0
redirect: https://observablehq.com/@d3/zoomable-raster-vector
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
margin: 0;
}
path {
fill: none;
stroke: red;
stroke-linejoin: round;
stroke-width: 1.5px;
}
</style>
<svg></svg>
<script src="//d3js.org/d3.v4.min.js"></script>
<script src="//d3js.org/d3-tile.v0.0.min.js"></script>
<script src="//d3js.org/topojson.v1.min.js"></script>
<script>
var pi = Math.PI,
tau = 2 * pi;
var width = Math.max(960, window.innerWidth),
height = Math.max(500, window.innerHeight);
// Initialize the projection to fit the world in a 1×1 square centered at the origin.
var projection = d3.geoMercator()
.scale(1 / tau)
.translate([0, 0]);
var path = d3.geoPath()
.projection(projection);
var tile = d3.tile()
.size([width, height]);
var zoom = d3.zoom()
.scaleExtent([1 << 11, 1 << 14])
.on("zoom", zoomed);
var svg = d3.select("svg")
.attr("width", width)
.attr("height", height);
var raster = svg.append("g");
var vector = svg.append("path");
d3.csv("us-state-capitals.csv", type, function(error, capitals) {
if (error) throw error;
vector
.datum({type: "FeatureCollection", features: capitals});
// Compute the projected initial center.
var center = projection([-98.5, 39.5]);
// Apply a zoom transform equivalent to projection.{scale,translate,center}.
svg
.call(zoom)
.call(zoom.transform, d3.zoomIdentity
.translate(width / 2, height / 2)
.scale(1 << 12)
.translate(-center[0], -center[1]));
});
function zoomed() {
var transform = d3.event.transform;
var tiles = tile
.scale(transform.k)
.translate([transform.x, transform.y])
();
projection
.scale(transform.k / tau)
.translate([transform.x, transform.y]);
vector
.attr("d", path);
var image = raster
.attr("transform", stringify(tiles.scale, tiles.translate))
.selectAll("image")
.data(tiles, function(d) { return d; });
image.exit().remove();
image.enter().append("image")
.attr("xlink:href", function(d) { return "http://" + "abc"[d[1] % 3] + ".tile.openstreetmap.org/" + d[2] + "/" + d[0] + "/" + d[1] + ".png"; })
.attr("x", function(d) { return d[0] * 256; })
.attr("y", function(d) { return d[1] * 256; })
.attr("width", 256)
.attr("height", 256);
}
function type(d) {
return {
type: "Feature",
properties: {name: d.description, state: d.name},
geometry: {type: "Point", coordinates: [+d.longitude, +d.latitude]}
};
}
function stringify(scale, translate) {
var k = scale / 256, r = scale % 1 ? Number : Math.round;
return "translate(" + r(translate[0] * scale) + "," + r(translate[1] * scale) + ") scale(" + k + ")";
}
</script>
name description latitude longitude
Alabama Montgomery 32.377716 -86.300568
Alaska Juneau 58.301598 -134.420212
Arizona Phoenix 33.448143 -112.096962
Arkansas Little Rock 34.746613 -92.288986
California Sacramento 38.576668 -121.493629
Colorado Denver 39.739227 -104.984856
Connecticut Hartford 41.764046 -72.682198
Delaware Dover 39.157307 -75.519722
Hawaii Honolulu 21.307442 -157.857376
Florida Tallahassee 30.438118 -84.281296
Georgia Atlanta 33.749027 -84.388229
Idaho Boise 43.617775 -116.199722
Illinois Springfield 39.798363 -89.654961
Indiana Indianapolis 39.768623 -86.162643
Iowa Des Moines 41.591087 -93.603729
Kansas Topeka 39.048191 -95.677956
Kentucky Frankfort 38.186722 -84.875374
Louisiana Baton Rouge 30.457069 -91.187393
Maine Augusta 44.307167 -69.781693
Maryland Annapolis 38.978764 -76.490936
Massachusetts Boston 42.358162 -71.063698
Michigan Lansing 42.733635 -84.555328
Minnesota St. Paul 44.955097 -93.102211
Mississippi Jackson 32.303848 -90.182106
Missouri Jefferson City 38.579201 -92.172935
Montana Helena 46.585709 -112.018417
Nebraska Lincoln 40.808075 -96.699654
Nevada Carson City 39.163914 -119.766121
New Hampshire Concord 43.206898 -71.537994
New Jersey Trenton 40.220596 -74.769913
New Mexico Santa Fe 35.68224 -105.939728
North Carolina Raleigh 35.78043 -78.639099
North Dakota Bismarck 46.82085 -100.783318
New York Albany 42.652843 -73.757874
Ohio Columbus 39.961346 -82.999069
Oklahoma Oklahoma City 35.492207 -97.503342
Oregon Salem 44.938461 -123.030403
Pennsylvania Harrisburg 40.264378 -76.883598
Rhode Island Providence 41.830914 -71.414963
South Carolina Columbia 34.000343 -81.033211
South Dakota Pierre 44.367031 -100.346405
Tennessee Nashville 36.16581 -86.784241
Texas Austin 30.27467 -97.740349
Utah Salt Lake City 40.777477 -111.888237
Vermont Montpelier 44.262436 -72.580536
Virginia Richmond 37.538857 -77.43364
Washington Olympia 47.035805 -122.905014
West Virginia Charleston 38.336246 -81.612328
Wisconsin Madison 43.074684 -89.384445
Wyoming Cheyenne 41.140259 -104.820236
@muan
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muan commented Oct 12, 2014

the background's dead 😢

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