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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

Value and use of the hexagon

Hexagons can solve some of the problems we mentioned in the preceding section. They can help the unequal area problems of choropleth maps and can bring ordered focus to point clusters. Let’s look at a few first:

Hexagonal tiling

As you can see, hexagons have equal length sides and fit nicely next to each other. However, they’re not just a pretty face, they also have properties we can leverage well in data visualization:

  • Hexagons divide a given area into equal-sized hexagons. This is called tiling and can also be done with other shapes such as circles, triangles, rectangles, or other polygons.
  • However, if you tile your wall with circles, you will end up with gaps between the circles. Covering a plane gap-free with repeating symmetric shapes is called a regular tessellation and is, in fact, only possible with squares, triangles, and hexagons...
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