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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

Shaping Maps with Data - Hexbin Maps

Different pieces of data afford different visualizations. When you want to show a timeline, you rarely build a vertical bar chart. You would more likely use a horizontal line chart. You should, of course, give yourself some freedom of expression when encoding data to position, shape, or color. However, the data at hand, the meaning you want to convey, and the cognitive decoding processes at play are important guides when deciding how to encode your data.

In this chapter, we will focus on a specific map-visualization technique: hexagonal binning maps (hexbin maps). We will start with a brief journey through various map visualization techniques before focusing on hexbin maps. You will learn the conceptual and cognitive benefits of hexbin maps, what hexagons are useful for in comparison to other shapes, and how they are calculated.

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