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Mastering D3.js

You're reading from   Mastering D3.js Bring your data to life by creating and deploying complex data visualizations with D3.js

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Product type Paperback
Published in Aug 2014
Publisher Packt
ISBN-13 9781783286270
Length 352 pages
Edition 1st Edition
Tools
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Author (1):
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Pablo NAVARRO CASTILLO Pablo NAVARRO CASTILLO
Author Profile Icon Pablo NAVARRO CASTILLO
Pablo NAVARRO CASTILLO
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Table of Contents (14) Chapters Close

Preface 1. Data Visualization FREE CHAPTER 2. Reusable Charts 3. Creating Visualizations without SVG 4. Creating a Color Picker with D3 5. Creating User Interface Elements 6. Interaction between Charts 7. Creating a Charting Package 8. Data-driven Applications 9. Creating a Dashboard 10. Creating Maps 11. Creating Advanced Maps 12. Creating a Real-time Application Index

Obtaining geographic data

To create a map, we will need files that describe the coordinates of the features that we intend to include in our map. One of the most reliable sources for medium-scale geographic data is Natural Earth (http://www.naturalearthdata.com), a collaborative effort to curate and organize geographic datasets.

The geographic datasets available at Natural Earth are in the public domain and are available at 1:10,000, 1:50,000, and 1:110,0000 scales. There are vector and raster datasets, and the map files are classified in three categories:

  • Cultural: This contains countries, administrative divisions, states and provinces, populated places, roads, urban areas, and parks
  • Physical: This describes coastlines, land, islands, oceans, rivers, lakes, and glaciated areas among others
  • Raster: This contains images, depicting the relief as shades and with colors based on climate

The files are in the ESRI shapefile format, the de facto standard for geographic data. ESRIshape files represent...

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