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QGIS Python Programming Cookbook

You're reading from   QGIS Python Programming Cookbook Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783984985
Length 340 pages
Edition 1st Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Toc

Table of Contents (11) Chapters Close

Preface 1. Automating QGIS FREE CHAPTER 2. Querying Vector Data 3. Editing Vector Data 4. Using Raster Data 5. Creating Dynamic Maps 6. Composing Static Maps 7. Interacting with the User 8. QGIS Workflows 9. Other Tips and Tricks Index

Visualizing data in 3D with WebGL

QGIS displays data in a two-dimensions even if the data is three-dimensional. However, most modern browsers can display 3D data using the WebGL standard. In this recipe, we'll use the Qgis2threejs plugin to display QGIS data in 3D in a browser.

Getting ready

You will need to download some raster elevation data in the zipped directory and place it in your qgis_data directory from the following:

https://geospatialpython.googlecode.com/svn/saveqml.zip

You will also need to install the Qgis2threejs plugin using the QGIS Plugin Manager.

How to do it...

We will set up a color ramp for a DEM draped over a hillshade image and use the plugin to create a WebGL page in order to display the data. To do this, we need to perform the following steps:

  1. First, we will need to import the relevant libraries and the Qgis2threejs plugin:
    from PyQt4.QtCore import *
    from PyQt4.QtGui import *
    import Qgis2threejs as q23js
    
  2. Next, we'll disable QGIS automatic reprojection to keep...
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