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QGIS Python Programming Cookbook, Second Edition

You're reading from   QGIS Python Programming Cookbook, Second Edition Automating geospatial development

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787124837
Length 464 pages
Edition 2nd Edition
Languages
Tools
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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 (10) 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

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 following zipped directory and place it in your qgis_data directory:

https://github.com/GeospatialPython/Learn/raw/master/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 to display the data:

  1. First, we will need to import the relevant libraries and the plugin:
            from PyQt4.QtCore import QSize 
            from qgis.core import QgsCoordinateReferenceSystem,
                                  QgsCoordinateTransform, QgsPoint 
            from Qgis2threejs.api import Exporter 
    
  2. Next...
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