Make an Interactive Map 01 - Colorful World Map

Prefix

I am going to make a series of blogs to show you how to make all kinds of interactive map on a web page. Before start, you should have some basic knowledge of HTML and JavaScript.


Preview: A Colorful World!

First, let’s have a preview of what the map looks like.

This is a world map that shows the median age of each country from 2015 to 2100 predicted by United Nations.

Also, you can find a more advanced example here.


What tools do you use?

For the above map, I use the these libraries,

  • DataMaps: A useful tool to render a svg map. Many basic mouse event interactions like changing fill/border color when mouseover and are built in.
  • D3: A very powerful JS library, especially in making data visualization.

One thing you should know, DataMaps is using the version 3 of D3 so that I’d better use the same version in my code.


Show me the code!

Sure, you can find all the code at this Github Repository. Now let me briefly introduce the steps of making this data visualization.

Step 0: Include the JavaScript Libraries.
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<script src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/topojson/1.6.9/topojson.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/datamaps/0.5.8/datamaps.all.js"></script>
Step 1: Load the Data

I use d3.json() to load the data file.

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var json_data;
d3.json("./MedianAge.json", function (data) {
json_data = data;
});

Step 2: Process the Data

The data for Datamaps must be in an specific format like:

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{
'3-digit country code':{
'numberOfThings': value,
'fillColor':color
}
}

Also, you need provide the min and max values in order to set the scale of color. Here I use D3 to set the color scale.

This step actually depends on the format of data you have, so here I just show you an example.

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var values = [];//The array to store all the values in order to find min and max

//Iterate the data array to retrieve the value of each country
for (var country in data_source) {
values.push(data_source[country])
}

//Get min and max values to set the color scale
var minValue = Math.min.apply(null, values),
maxValue = Math.max.apply(null, values);

//Use d3 to convert number to color
var colorScale = d3.scale.linear()
.domain([minValue, maxValue])
.range(["#afe0ff", "#040066"]);

//Put color into the data array for each country
for (var country in data) {
data[country]['fillColor'] = colorScale(data[country]['numberOfThings'])
}

Step 3: Render the Map from the Data

First create a div tag in the HTML file. <div id="map"></div>

Then call Datamaps() function to render the map. You should set the map styles here.

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//Call DataMaps
new Datamaps({
element: document.getElementById('map'),
projection: 'mercator', // big world map
fills: {defaultFill: '#F5F5F5'},// countries don't listed in dataset will be painted with this color
data: data,
geographyConfig: {
borderColor: '#d7d7d7',
highlightBorderWidth: 2,
highlightBorderColor: '#e66d18',
popupTemplate: function (geo, data) {// show desired information in tooltip
if (!data) // don't show tooltip if country don't present in dataset
return;
// tooltip content
return ['<div class="hoverinfo">',
'<strong>', geo.properties.name, '</strong>',
'<br>Median Age: <strong>', data.numberOfThings, '</strong>',
'</div>'].join('');
}
}
});

Step 4: Update the Map According to the Input from User

First add a input in HTML. It could be a either input or select tag. Here is my input.

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<input type="range" min="2015" max="2100" step="5" value="2015" autocomplete="off" id="year"/>

Then wirte an function to render the map.

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function render_map() {
//1. Get the new data.
//2. Call Datamaps() according to the new data.
}

And finally add a controller.

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document.getElementById('year').oninput = function () {
render_map();//Render a new map when the year is changed. You may need to remove the previous map.
};

Step 5: Style Your Page

You can use CSS to make you page prettier. I will skip this step.


The End