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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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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

Summary

You've come a long way. You've learned how to draw with Canvas, how to animate the canvas in a pure Canvas way, as well as how to use D3 transitions and the Enter-Update-Exit pattern with Canvas. While the Vanilla Canvas way is perfectly reasonable for a great many applications, D3 offers seasoned functionality for data visualization you don't have to abandon. It requires a shift in thinking when building your application, but it can pay out specifically for drawing and animating a large number of points. It will expand your toolbox in a valuable way, especially at times where abundant data might require element-heavy representations.

In the next chapter, we will review a map visualization in SVG and then build one in Canvas. By doing so, you will not only be able to apply the learnings from this chapter, but you will also learn more about the differences...

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