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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

Finding and Working with Geographic Data

We have spent a significant amount of time creating and interacting with maps in our previous chapters. In all our examples, the geographic data was included. In this chapter, we will explain how to find geographic data about any country in the world.

There are typically two sets of data that we will need to create a map in D3:

  • A dataset that represents the geographic shape of our map (geodata)
  • Some meaningful data that we want to visualize on the map (for example, population density by US countries, or unemployment rate by countries in the world)

This chapter is focused on understanding, manipulating, and optimizing geodata for map visualizations. We will accomplish these goals by:

  • Explaining three important formats that contain geospatial vector data
  • Finding, downloading, and working with large amounts of map data
  • Using techniques...
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