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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

Projecting raster images with D3

Until now, we have used svg to create maps. In this section, we will learn how to use D3 to project raster images in canvas elements. This will allow us to use JPG or PNG images to generate orthographic views of these images. A raster image reprojected using the Orthographic projection is shown in the following screenshot:

Projecting raster images with D3

Rendering an image of Earth using the Orthographic projection (or any other projection) involves manipulating two projections. First, for each pixel in the original image, we compute its corresponding geographic coordinates using the image inverse projection. Then, we use the geographic coordinates of each pixel to render them using the Orthographic projection. Before beginning the implementation of these steps, we will discuss the inverse method of a projection.

Projections are functions that map geographic coordinates to points on the screen. The inverse projections do the reverse operation; they take coordinates on the two-dimensional...

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