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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
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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 (16) Chapters Close

QGIS Python Programming Cookbook - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
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

Georeferencing a raster from control points


Sometimes, a raster that represents features on the earth is just an image with no georeferencing information. That is certainly the case with historical scanned maps. However, you can use a referenced data set of the same area to create tie points, or ground control points, and then use an algorithm to warp the image to fit the model of the earth. It is common for data collection systems to just store the ground control points (GCP) along with the raster to keep the image in as raw a format as possible. Each change to an image holds the possibility of losing data, so georeferencing an image on demand is often the best approach.

In this recipe, we'll georeference a historical survey map of the Louisiana and Mississippi Gulf Coast from 1853. The control points were manually created with the QGIS Georeferencer plugin and saved to a standardized control point file.

Getting ready

Download the following ZIP file, unzip the contents, and put the georef...

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