Congressional representatives dataset

README.md

Based on this data, contains a Shapefile and two topojson with the US congressional Districts.

The atlas-make project has a better maintained version of this data.

The difference from the data is based on, is that the American Samoa, Guam and Northern Marianas are included from the Natural Earth dataset. The Congress Representative data is included too.

get_areas.py is a script to calculate the area paoperties for the new objects. The name of the Congressional Representatives in the added territories has been taken from the Wikipedia.

The topojson has been calculated using the command: topojson -o us_congressional_district.json cgd114p010g.shp -p

The topojson data can be used with d3 and the d3-composite-projections library, as seen in the example.

d3-composite-projections.min.js

// http://geoexamples.com/d3-composite-projections/ Version 1.0.0. Copyright 2016 Roger Veciana i Rovira.
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e,t,o,r;e=d([42.45755610828648,63.343658547914934]),t=d([52.65837266667029,59.35045080290929]),o=d([47.19754502247785,56.12653496548117]),r=d([37.673034273363044,59.61638268506111]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([59.41110754003403,62.35069727399336]),t=d([66.75050228640794,57.11797303636038]),o=d([60.236065725110436,54.63331433818992]),r=d([52.65837313153311,59.350450804599355]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([48.81091130080243,66.93353402634641]),t=d([59.41110730654679,62.35069740653086]),o=d([52.6583728974441,59.3504509222445]),r=d([42.45755631675751,63.34365868805821]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([31.054198418446475,52.1080673766184]),t=d([39.09869284884117,49.400700047190554]),o=d([36.0580811499175,46.02944174908498]),r=d([28.690508588835726,48.433126979386415]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([33.977877745912025,55.849945501331]),t=d([42.75328432167726,52.78455122462353]),o=d([39.09869297540224,49.400700176148625]),r=d([31.05419851807008,52.10806751810923]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([52.658372900759296,59.35045068526415]),t=d([60.23606549583304,54.63331423800264]),o=d([54.6756370953122,51.892298789399455]),r=d([47.19754524788189,56.126534861222794]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([47.19754506082455,56.126534735591456]),t=d([54.675636900123514,51.892298681337095]),o=d([49.94448648951486,48.98775484983285]),r=d([42.75328468716108,52.78455126060818]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([42.75328453416769,52.78455113209101]),t=d([49.94448632339758,48.98775473706457]),o=d([45.912339990394315,45.99361784987003]),r=d([39.09869317356607,49.40070009378711]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([37.673034114296634,59.61638254183119]),t=d([47.197544835420544,56.126534839849846]),o=d([42.75328447467064,52.78455135314068]),r=d([33.977877870363905,55.849945644671145]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([44.56748486446032,57.26489367845818]),o=d([43.9335791193588,53.746540942601726]),r=d([43,56]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath(),e=d([37.673034114296634,59.61638254183119]),t=d([40.25902691953466,58.83002044222639]),o=d([38.458270492742024,57.26232178028002]),r=d([35.97754948030156,58.00266637992386]),n.moveTo(e[0],e[1]),n.lineTo(t[0],t[1]),n.lineTo(o[0],o[1]),n.lineTo(r[0],r[1]),n.closePath()},n.getCompositionBorders=function(){var n=t.path();return this.drawCompositionBorders(n),n.toString()},n.scale(750)}var x=1e-6;n.geoAlbersUsa=r,n.geoAlbersUsaTerritories=i,n.geoConicConformalSpain=s,n.geoConicConformalPortugal=p,n.geoMercatorEcuador=f,n.geoTransverseMercatorChile=v,n.geoConicEquidistantJapan=g,n.geoConicConformalFrance=d,n.geoConicConformalEurope=C,Object.defineProperty(n,"__esModule",{value:!0})});

get_areas.py

from osgeo import ogr

def get_length(geom):
    length = 0.0
    if geom.GetGeometryName() == 'POLYGON':
        length += get_polygon_length(geom)
    else:
        for polygon in geom:
            length += get_polygon_length(polygon)
    return length

def get_polygon_length(polygon):
    length = 0.0
    for ring in polygon:
        length += ring.Length()
    return length

driver = ogr.GetDriverByName("ESRI Shapefile")
dataSource = driver.Open("cgd114p010g.shp", 1)
layer = dataSource.GetLayer()
new_field = ogr.FieldDefn("Area", ogr.OFTReal)
new_field.SetWidth(32)
new_field.SetPrecision(2) #added line to set precision
layer.CreateField(new_field)

for feature in layer:

    geom = feature.GetGeometryRef()
   
    area = geom.GetArea() 
    print feature.GetFieldAsString(0), area, get_length(geom)
    feature.SetField("Area", area)
    layer.SetFeature(feature)


dataSource = None 

index.html

<!DOCTYPE html>
<meta charset="utf-8">
<style>
#tooltip {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 10;
  margin: 0;
  padding: 10px;
  width: 200px;
  height: 70px;
  color: white;
  font-family: sans-serif;
  font-size: 0.9em;
  font-weight: bold;
  text-align: center;
  background-color: rgba(0, 0, 0, 0.55);
  opacity: 0;
  pointer-events: none;
  border-radius:5px;
  transition: .2s;
}
</style>
<body>
  <div id="container"/>
  <div id="tooltip"/>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="http://d3js.org/topojson.v1.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-composite-projections/1.0.1/d3-composite-projections.min.js"></script>
<script>
var width = 960,
    height = 500;

var projection = d3.geoAlbersUsaTerritories();
var path = d3.geoPath()
    .projection(projection);

var svg = d3.select("#container").append("svg")
    .attr("width", width)
    .attr("height", height);

    var t = d3.transition();
d3.json("us_congressional_districts.json", function(error, us) {
  var us = topojson.feature(us, us.objects.us_congressional_districts);
  svg.selectAll(".region")
      .data(us.features)
      .enter()
      .append("path")
      .attr("class", "region")
      .attr("d", path)
      .style("fill", function(d){
        if(d.properties.PARTY_AFF=="Democrat")
          return "#4a86e8";
        else
          return "#e84a4a";})
      .style("stroke", "#000")
      .style("stroke-width", "0.5px")
      .on("mouseover", function(d){
        //Show the tooltip
        var x = d3.event.pageX;
        var y = d3.event.pageY - 40;

        d3.select("#tooltip")
          .style("left", x + "px")
          .style("top", y + "px")
          .style("opacity", 1)
          .html( d.properties.STATE + " dist: " + d.properties.CONG_DIST + "<br/>" +d.properties.CONG_REP + "<br/>" + d.properties.PARTY_AFF );
        })
        .on("mouseout", function(){
          //Hide the tooltip
          d3.select("#tooltip")
            .style("opacity", 0);
        });;

  svg
    .append("path")
      .style("fill","none")
      .style("stroke","#000")
      .style("stroke-dasharray","5,5")
      .attr("d", projection.getCompositionBorders());

});

</script>

thumbnail.png

us_congressional_districts.json

us_congressional_districts.zip

@rveciana So u pulled the GU, AS & MS polygons from http://www.naturalearthdata.com/downloads/10m-cultural-vectors/ (Admin 1 – States, Provinces) and then added the congress data (via wikipedia) to those geometries?