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Learning D3.js 5 Mapping

You're reading from   Learning D3.js 5 Mapping Build cutting-edge maps and visualizations with JavaScript

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781787280175
Length 298 pages
Edition 2nd Edition
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Authors (3):
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Thomas Newton Thomas Newton
Author Profile Icon Thomas Newton
Thomas Newton
Oscar Villarreal Oscar Villarreal
Author Profile Icon Oscar Villarreal
Oscar Villarreal
Lars Verspohl Lars Verspohl
Author Profile Icon Lars Verspohl
Lars Verspohl
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Toc

Table of Contents (13) Chapters Close

Preface 1. Gathering Your Cartography Toolbox FREE CHAPTER 2. Creating Images from Simple Text 3. Producing Graphics from Data - the Foundations of D3 4. Creating a Map 5. Click-Click Boom! Applying Interactivity to Your Map 6. Finding and Working with Geographic Data 7. Testing 8. Drawing with Canvas and D3 9. Mapping with Canvas and D3 10. Adding Interactivity to Your Canvas Map 11. Shaping Maps with Data - Hexbin Maps 12. Publishing Your Visualization with GitHub Pages

Reviewing map visualization techniques

There are many ways to represent geographical data. Not surprisingly, maps are often involved. While maps are a compelling way to present data that can be deciphered effortlessly by most people, they can be overused. If you want to show which country has the highest percentage of forest cover, you might decide to show a globe and use color saturation to encode forest ratio. Alternatively, you could show a sorted vertical bar chart displaying the country with the highest forest cover on top and the country with the lowest at the bottom. The map version might look nicer and give your users a good intuition about locations of forest lack or riches. However, the bar chart gives a more concise overview over the distribution and country comparison of forest cover.

So, let’s assume that you have decided to use a map as the fundamental representation...

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