{"url":"https://api.github.com/gists/5732029","forks_url":"https://api.github.com/gists/5732029/forks","commits_url":"https://api.github.com/gists/5732029/commits","id":"5732029","node_id":"MDQ6R2lzdDU3MzIwMjk=","git_pull_url":"https://gist.github.com/5732029.git","git_push_url":"https://gist.github.com/5732029.git","html_url":"https://gist.github.com/mbostock/5732029","files":{".block":{"filename":".block","type":"text/plain","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/5732029/raw/703d310b399098a243a76a50bc209167e924cfd2/.block","size":17,"truncated":false,"content":"license: gpl-3.0\n","encoding":"utf-8"},"index.html":{"filename":"index.html","type":"text/html","language":"HTML","raw_url":"https://gist.githubusercontent.com/mbostock/5732029/raw/34a26550cd5d49347999bf312f43443ac3f209bb/index.html","size":2507,"truncated":false,"content":"\n\n\n

\n\n\n\n\n","encoding":"utf-8"},"readme-simplify.js":{"filename":"readme-simplify.js","type":"text/javascript","language":"JavaScript","raw_url":"https://gist.githubusercontent.com/mbostock/5732029/raw/23db91fddcb14e444ae0de6d9806df5ad1dbdea9/readme-simplify.js","size":3925,"truncated":false,"content":"(function() {\n\nd3.simplify = function() {\n var projection = d3.geo.albers();\n\n function simplify(feature) {\n if (feature.type !== \"MultiPolygon\") throw new Error(\"not yet supported\");\n\n var heap = minHeap(),\n maxArea = 0,\n triangle;\n\n feature.coordinates = feature.coordinates.map(function(polygon) {\n return polygon.map(function(lineString) {\n var points = lineString.map(projection),\n triangles = [];\n\n if (points.some(function(p) { return p == null; })) return null;\n\n for (var i = 1, n = lineString.length - 1; i < n; ++i) {\n triangle = points.slice(i - 1, i + 2);\n if (triangle[1][2] = area(triangle)) {\n triangles.push(triangle);\n heap.push(triangle);\n }\n }\n\n for (var i = 0, n = triangles.length; i < n; ++i) {\n triangle = triangles[i];\n triangle.previous = triangles[i - 1];\n triangle.next = triangles[i + 1];\n }\n\n return points;\n }).filter(function(polygon) {\n return polygon != null;\n });\n });\n\n while (triangle = heap.pop()) {\n\n // If the area of the current point is less than that of the previous point\n // to be eliminated, use the latter’s area instead. This ensures that the\n // current point cannot be eliminated without eliminating previously-\n // eliminated points.\n if (triangle[1][2] < maxArea) triangle[1][2] = maxArea;\n else maxArea = triangle[1][2];\n\n if (triangle.previous) {\n triangle.previous.next = triangle.next;\n triangle.previous[2] = triangle[2];\n update(triangle.previous);\n } else {\n triangle[0][2] = triangle[1][2];\n }\n\n if (triangle.next) {\n triangle.next.previous = triangle.previous;\n triangle.next[0] = triangle[0];\n update(triangle.next);\n } else {\n triangle[2][2] = triangle[1][2];\n }\n }\n\n function update(triangle) {\n heap.remove(triangle);\n triangle[1][2] = area(triangle);\n heap.push(triangle);\n }\n\n return feature;\n }\n\n simplify.projection = function(_) {\n if (!arguments.length) return projection;\n projection = _;\n return simplify;\n };\n\n return simplify;\n};\n\nfunction compare(a, b) {\n return a[1][2] - b[1][2];\n}\n\nfunction area(t) {\n return Math.abs((t[0][0] - t[2][0]) * (t[1][1] - t[0][1]) - (t[0][0] - t[1][0]) * (t[2][1] - t[0][1]));\n}\n\nfunction minHeap() {\n var heap = {},\n array = [];\n\n heap.push = function() {\n for (var i = 0, n = arguments.length; i < n; ++i) {\n var object = arguments[i];\n up(object.index = array.push(object) - 1);\n }\n return array.length;\n };\n\n heap.pop = function() {\n var removed = array[0],\n object = array.pop();\n if (array.length) {\n array[object.index = 0] = object;\n down(0);\n }\n return removed;\n };\n\n heap.remove = function(removed) {\n var i = removed.index,\n object = array.pop();\n if (i !== array.length) {\n array[object.index = i] = object;\n (compare(object, removed) < 0 ? up : down)(i);\n }\n return i;\n };\n\n function up(i) {\n var object = array[i];\n while (i > 0) {\n var up = ((i + 1) >> 1) - 1,\n parent = array[up];\n if (compare(object, parent) >= 0) break;\n array[parent.index = i] = parent;\n array[object.index = i = up] = object;\n }\n }\n\n function down(i) {\n var object = array[i];\n while (true) {\n var right = (i + 1) << 1,\n left = right - 1,\n down = i,\n child = array[down];\n if (left < array.length && compare(array[left], child) < 0) child = array[down = left];\n if (right < array.length && compare(array[right], child) < 0) child = array[down = right];\n if (down === i) break;\n array[child.index = i] = child;\n array[object.index = i = down] = object;\n }\n }\n\n return heap;\n}\n\n})();\n","encoding":"utf-8"},"thumbnail.png":{"filename":"thumbnail.png","type":"image/png","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/5732029/raw/4fe15605ce5565f26a585fb4d394c2a0f508a66e/thumbnail.png","size":15137,"truncated":false,"content":"iVBORw0KGgoAAAANSUhEUgAAAOYAAAB4CAIAAABpZBnfAAAL42lDQ1BpY20A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\nHP5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zePHi8vLyzMzMzMzM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\n3N3dXVNTI5fL09LSoMszm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