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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
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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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Table of Contents (10) Chapters Close

Preface 1. Automating QGIS 2. Querying Vector Data FREE CHAPTER 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

Creating a dot density map

A dot density map uses point density to illustrate a field value within a polygon. We'll use this technique to illustrate population density in some US census bureau tracts.

Getting ready

You will need to download the census tract layer and extract it to a directory named census in your qgis_data directory from https://github.com/GeospatialPython/Learn/raw/master/GIS_CensusTract.zip.

How to do it...

We will load the census layer, create a memory layer, loop through the features in the census layer, calculate a random point within the feature for every 100 people, and finally add the point to the memory layer. To do this, we need to perform the following steps:

  1. In the QGIS Python console, we'll import the random module:
            import random 
    
  2. Next, we'll load the census layer:
            src = "/qgis_data/qgis_data/census/GIS_CensusTract_poly.shp" 
            tractLyr = QgsVectorLayer(src, "Census Tracts", "ogr") 
    
  3. Then, we'll...
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