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Equal Size Cartogram

Equal Size Cartogram vs. Other Cartograms and Choropleth Maps

Traditional geographic data visualizations may use colored countries and/or labels to indicate data values (e.g. choropleth maps). But, countries with smaller land area may be difficult to discern. Further, the size biases the viewer to attend to the countries with larger land areas.

A cartogram distorts the shapes of countries, typically using a different data attribute applied to set the area of each country. This approach creates a cartogram that still results in graphical objects with small area.

The above equal-size cartogram, using a consistent rectangle per country, provides a large consistent box and label for each country. This means that small items are not too small to be visible and also that each item is large enough to have a clearly readable label to add additional information, e.g. country code, in addition to visual attributes such as color. In comparison to a geographic map there are no overlapping labels (click the button).

Data World Bank 2010. World Map Wikipedia.

<!DOCTYPE html>
<html lang="en">
<head> <meta charset="utf-8"> <title>World Map: Equal Size Cartogram vs. Geographic Projection</title>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<script type="text/javascript" src="./WorldBankStats2010.js"></script>
<script type="text/javascript" src="./LandGrid.js"></script>
<style type="text/css">
#tooltip {
position: absolute;
width: auto;
height: auto;
padding: 7px;
background-color: #ffff88;
pointer-events: none;
}
#tooltip.hidden { display: none; }
#tooltip p {
margin: 0;
font-family: sans-serif, Arial;
font-size: 12px;
line-height: 14px;
}
text.legendtext {
color: black
font-family: sans-serif, Arial;
font-size: 8px;
line-height: 2px;
}
</style>
</head>
<body>
<div id="tooltip" class="hidden">
<p> <span id="title">text</span> <br>
<span id="value">100</span></p>
</div>
<script type="text/javascript">
//first D3 vis: code rough, magic numbers, etc.
var w = 960; var h = 480; var st = 1; //Width, height, state
//scales
var popscale = d3.scale.linear().domain([0,50000000,1500000000]).range(["#336688","orange","#ff66ff"]);
var latscale = d3.scale.linear().domain([-90,90]).range([h,0]);
var lonscale = d3.scale.linear().domain([-180,-169.2,-169.2,180]).range([w*(3/100),w,0,w*(97/100)]);
var rowscale = d3.scale.linear().domain([0,26]).range([0,h]);
var colscale = d3.scale.linear().domain([0,23]).range([0,w]);
//Set up SVG
var svg = d3.select("body").append("svg").attr("width", w).attr("height", h).attr("fill","black").attr("font-family","Arial Black");
//Base Map - better to use an SVG - how to inline an SVG file?
svg.append("image").attr("x",0).attr("y",0).attr("height",h).attr("width",w).attr("xlink:href","./worldMap.JPG");
var mapmask = svg.append("rect").attr("x",0).attr("y",0).attr("width",w).attr("height",h).attr("fill","#bbe4ed");
// LAND in Grid State <polygon fill="#ED0000" stroke="#000000" stroke-width="1" points="50,100 100,75 100,0 0,0 0,75 "/>
var gridland = svg.selectAll("polygon.land")
.data(landGrid).enter().append("polygon").attr("class","land").attr("fill","#daccbc").attr("stroke","#eadccc")
.attr("points", function(d) { return [0,0, colscale(1),0, colscale(1),rowscale(1), 0,rowscale(1)] })
.attr("transform", function(d) { return "translate(" +
[colscale(d.Y)-colscale(.5) , rowscale(d.X)-14] + ")" });
// COUNTRY label boxes
var labelboxes = svg.selectAll("rect.boxes").data(countryData).enter().append("rect")
.attr("fill","white").attr("class","boxes")
.attr("width",colscale(1)-4).attr("height",rowscale(1)-4)
.attr("x", function(d) {return colscale(d.Col)-colscale(.5)+2; })
.attr("y", function(d) {return rowscale(d.Row)-14+2; });
// COUNTRY Labels
var labels = svg.selectAll("text")
.data(countryData).enter().append("text").attr("font-size",12).attr("text-anchor","middle")
.attr("fill", function(d) {return popscale(d.Population); })
.attr("x",function(d) { return colscale(d.Col); })
.attr("y", function (d) { return rowscale(d.Row); })
.text( function(d) {return d.CountryCode; })
.style("pointer-events","none");
// line above so text doesn't get events
// An SVG BUTTON with Method on click
var button = svg.append("rect").attr("x",5).attr("y",5).attr("width",75).attr("height",28).attr("fill","ivory").attr("stroke","black");
svg.append("text").style("font-family","Arial").attr("x",10).attr("y",25).text("Click Me").style("pointer-events","none");;
// An SVG LEGEND
var clrlegendgrad = svg.append("linearGradient").attr("id","clrlegendgradid");
clrlegendgrad.append("stop").attr("offset", "2%").attr("stop-color",popscale(0));
clrlegendgrad.append("stop").attr("offset","50%").attr("stop-color",popscale(50000000));
clrlegendgrad.append("stop").attr("offset","100%").attr("stop-color",popscale(1500000000));
svg.append("rect").attr("x",190).attr("y",h-15).attr("width",w/4).attr("height",10).style("fill","url(#clrlegendgradid)");
svg.append("text").attr("class","legendtext").attr("x",190).attr("y",h-25).text("Population");
svg.append("text").attr("class","legendtext").attr("x",190).attr("y",h-16).text("0");
svg.append("text").attr("class","legendtext").attr("x",190+w/4*.5).attr("y",h-16).text("50M");
svg.append("text").attr("class","legendtext").attr("x",190+w/4).attr("y",h-16).attr("text-anchor","end").text("1.5B");
button.on("mousedown", function() {
if(st==1) { st =0; }
else { st = 1; }
if(st==0) {
labels.style("font-family","Arial")
.transition()
.attr("x", function(d) {return lonscale(d.Long); })
.attr("y", function(d) {return latscale(d.Lat); })
.attr("font-size",8);
labelboxes.transition(250).attr("fill-opacity",0);
gridland.transition(250).attr("fill-opacity",0).attr("stroke-opacity",0);
mapmask.transition().delay(100).attr("fill-opacity",0);
} else {
labels.style("font-family","Arial Black")
.transition()
.attr("x", function(d) { return colscale(d.Col); })
.attr("y", function (d) { return rowscale(d.Row); })
.attr("font-size",12);
labelboxes.transition(250).attr("fill-opacity",1);
gridland.transition(250).delay(100).attr("fill-opacity",1).attr("stroke-opacity",1);
mapmask.transition().attr("fill-opacity",1);
}
});
labelboxes.on("mouseover", function(d) {
d3.select(this).style("fill","yellow");
// get THIS box's x and y values
var xPos = parseFloat(d3.select(this).attr("x"))+25;
var yPos = parseFloat(d3.select(this).attr("y"))+10;
// update tooltip
d3.select("#tooltip")
.style("left", xPos + "px")
.style("top", yPos + "px")
.select("#title")
.text(d.CountryCode + ": " + d.ShortName);
d3.select("#tooltip").select("#value")
.text("Population (in millions):" + d.Population/1000000);
d3.select ("#tooltip").classed("hidden",false);
});
labelboxes.on("mouseout", function() {
d3.select(this).style("fill","white");
d3.select("#tooltip").classed("hidden", true);
});
</script>
</body>
</html>
var landGrid = [
{
"X": "1",
"Y": "1"
},
{
"X": "1",
"Y": "2"
},
{
"X": "1",
"Y": "10"
},
{
"X": "1",
"Y": "11"
},
{
"X": "1",
"Y": "12"
},
{
"X": "1",
"Y": "13"
},
{
"X": "1",
"Y": "14"
},
{
"X": "1",
"Y": "15"
},
{
"X": "1",
"Y": "16"
},
{
"X": "1",
"Y": "17"
},
{
"X": "1",
"Y": "18"
},
{
"X": "1",
"Y": "19"
},
{
"X": "1",
"Y": "20"
},
{
"X": "1",
"Y": "21"
},
{
"X": "1",
"Y": "22"
},
{
"X": "2",
"Y": "1"
},
{
"X": "2",
"Y": "2"
},
{
"X": "2",
"Y": "3"
},
{
"X": "2",
"Y": "4"
},
{
"X": "2",
"Y": "12"
},
{
"X": "2",
"Y": "13"
},
{
"X": "2",
"Y": "14"
},
{
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"Y": "15"
},
{
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"Y": "16"
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{
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{
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"Y": "18"
},
{
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"Y": "19"
},
{
"X": "2",
"Y": "20"
},
{
"X": "2",
"Y": "21"
},
{
"X": "2",
"Y": "22"
},
{
"X": "3",
"Y": "1"
},
{
"X": "3",
"Y": "2"
},
{
"X": "3",
"Y": "3"
},
{
"X": "3",
"Y": "4"
},
{
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"Y": "12"
},
{
"X": "3",
"Y": "13"
},
{
"X": "3",
"Y": "14"
},
{
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"Y": "15"
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{
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"Y": "16"
},
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"X": "3",
"Y": "17"
},
{
"X": "3",
"Y": "18"
},
{
"X": "3",
"Y": "19"
},
{
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"Y": "20"
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{
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"Y": "21"
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{
"X": "3",
"Y": "22"
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{
"X": "4",
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},
{
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},
{
"X": "25",
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}
]
// JSON data structure.
var countryData = [
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{
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{
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{
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{
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{
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},
{
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"FullName": "Australia",
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"ShortName": "Australia",
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"GDPperCapita": "25190.83986",
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"GovtDebt": "29.31727415",
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},
{
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{
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{
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{
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{
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{
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{
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{
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},
{
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