交互式 d3 邮政编码分区统计 - WA 州

正如标题所说，我正在尝试使用 d3 制作交互式分区统计。我找到了一个有趣的例子，我正在尝试为另一个位置复制它。具体来说，我正在尝试在邮政编码级别绘制华盛顿州。

我已经添加了目前可能被编辑的代码，它基于此示例，这里是显示最终结果的现场演示。

这适用于加利福尼亚州，但是当更改邮政编码topojson州(到华盛顿州(时，该图不起作用。也没有明确的错误。错误可能在于拓扑的差异。

这是加利福尼亚的地形图，这里是华盛顿的版本。

以下是为每个拓扑打印的第一个值。

California topojson:
    {
      "type": "Topology",
      "objects": {
        "zip": {
          "type": "GeometryCollection",
          "crs": {
            "type": "name",
            "properties": {
              "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
            }
          },
          "geometries": [
            {
              "type": "Polygon",
              "properties": {
                "zipcode": 94601
              },
              "arcs": [
                [
                  0,
                  1,
                  2,
                  3,
                  4,
                  5
                ]
              ]
            }

华盛顿托波伊森：

{
  "type": "Topology",
  "objects": {
    "tl_2010_53_zcta510": {
      "type": "GeometryCollection",
      "crs": {
        "type": "name",
        "properties": {
          "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
        }
      },
      "geometries": [
        {
          "type": "Polygon",
          "properties": {
            "zipcode": "98822"
          },
          "arcs": [
            [
              0,
              1,
              2,
              3
            ],
            [
              4
            ]
          ]
        }

以下是main.js函数。我认为这并检查两个拓扑文件可以帮助找到问题可能出在哪里。基本上唯一更改的是topojson文件，然后main.js函数应该反映这些更改。

此外，"fake_data.csv"仅表示一系列邮政编码：值对：

zip,values
98001,1
98002,1
98003,1
98004,2
98005,2
98006,2

主.js

    (function chart() {
  var width = 1000,
      height = 1200,
      centered;
  var rateById = d3.map();
  var quantize = d3.scale.quantize()
      .domain([0, 100000])
      .range(d3.range(9).map(function(i) { return "q" + i + "-9"; }));
  var projection = d3.geo.albersUsa()
      .scale(6000)
      .translate([2300, 680]);
  var path = d3.geo.path()
      .projection(projection);
  var svg = d3.select("#ca-chart").append("svg")
      .attr("width", width)
      .attr("height", height);
  var tooltip = d3.select("#ca-chart").append("div")
      .attr("class", "tooltip")
      .style("opacity", 0);
  svg.append("rect")
      .attr("class", "background")
      .attr("width", width)
      .attr("height", height)
      .on("click", clicked);
  var g = svg.append("g");
// These are the two lines that are different from the working example
  queue()
      .defer(d3.json, "https://gist.githubusercontent.com/martinbel/e14cd6ecd565914f53af/raw/e3a3a8332c20fe3cee6d7fd2a9ac01ad43f7aaa4/WA.topojson")
      .defer(d3.csv, "fake_data.csv", function(d) { rateById.set(d.zip.toString(), +d.values); })
      .await(ready);
  function ready(error, zipcode) {
    var features = topojson.feature(zipcode, zipcode.objects.tl_2010_53_zcta510).features;
    g.append("g")
        .attr("class", "state")
      .selectAll("path")
        .data(topojson.feature(zipcode, zipcode.objects.tl_2010_53_zcta510).features)
      .enter().append("path")
        .attr("d", path)
        .attr("stroke", "#333")
        .attr("stroke-width", "1.5px")
        .attr("fill", "#fff");
    g.append("g")
        .attr("class", "zipcodes")
      .selectAll("path")
        .data(features)
      .enter().append("path")
        .attr("class", getColorClass)
        .attr("d", path)
        .on("click", clicked)
        .on("mouseover", mouseover)
        .on("mouseout", mouseout);
  }
  function getColorClass(d) {
    return quantize(rateById.get(d.properties.zipcode));
  }
  function getPopulation(d) {
    return rateById.get(getZip(d)).toString();
  }
  function getZip(d) {
    return d && d.properties ? d.properties.zipcode : null;
  }
  function mouseout(d) {
    d3.select(this)
        .style("stroke", null);
    tooltip.transition()
        .duration(250)
        .style("opacity", 0);
  }
  function mouseover(d) {
    d3.select(this.parentNode.appendChild(this))
        .style("stroke", "#F00");
    tooltip.transition()
        .duration(250)
        .style("opacity", 1);
    tooltip
        .html("<p><strong>Zipcode: " + getZip(d) + "<br>Population: "  + getPopulation(d) + "</strong></p>")
        .style("left", (d3.event.pageX + 25) + "px")
        .style("top",  (d3.event.pageY - 28) + "px");
    }
  function clicked(d) {
    var x, y, k;
    if (d && centered !== d) {
      var centroid = path.centroid(d);
      x = centroid[0];
      y = centroid[1];
      k = 8;    // control zoom depth
      centered = d;
    } else {
      x = width / 2;
      y = height / 2;
      k = 1;
      centered = null;
    }
    g.selectAll("path")
        .classed("active", centered && function(d) { return d === centered; });
    g.transition()
        .duration(750)
        .attr("transform", "translate(" + width / 2 + "," + height / 2 + ")scale(" + k + ")translate(" + -x + "," + -y + ")")
        .style("stroke-width", 1.5 / k + "px");
  }
  d3.select(self.frameElement).style("height", height + "px");
}());

拓扑文件是按以下方式生成的：

curl -O "ftp://ftp2.census.gov/geo/tiger/TIGER2010/ZCTA5/2010/tl_2010_53_zcta510.zip"
unzip "tl_2010_53_zcta510.zip"
ogr2ogr -f GeoJSON -s_srs crs:84 -t_srs crs:84 tl_2010_53_zcta510.geojson tl_2010_53_zcta510.shp
topojson -o tl_2010_53_zcta510.topojson --properties zipcode=ZCTA5CE10 tl_2010_53_zcta510.geojson