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Mastering Geospatial Development with QGIS 3.x

You're reading from   Mastering Geospatial Development with QGIS 3.x An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781788999892
Length 466 pages
Edition 3rd Edition
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Authors (6):
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Luigi Pirelli Luigi Pirelli
Author Profile Icon Luigi Pirelli
Luigi Pirelli
Richard Smith Jr., GISP Richard Smith Jr., GISP
Author Profile Icon Richard Smith Jr., GISP
Richard Smith Jr., GISP
Kurt Menke, GISP Kurt Menke, GISP
Author Profile Icon Kurt Menke, GISP
Kurt Menke, GISP
Shammunul Islam Shammunul Islam
Author Profile Icon Shammunul Islam
Shammunul Islam
John Van Hoesen, GISP John Van Hoesen, GISP
Author Profile Icon John Van Hoesen, GISP
John Van Hoesen, GISP
Simon Miles Simon Miles
Author Profile Icon Simon Miles
Simon Miles
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction FREE CHAPTER
2. A Refreshing Look at QGIS 3. Section 2: Getting Started
4. Styling Raster and Vector Data 5. Creating Spatial Databases 6. Preparing Vector Data for Processing 7. Preparing Raster Data for Processing 8. Section 3: Diving Deeper
9. Advanced Data Creation and Editing 10. Advanced Data Visualization 11. Section 4: Becoming a Master
12. The Processing Toolbox 13. Automating Workflows with the Graphical Modeler 14. Creating QGIS Plugins with PyQGIS and Problem Solving 15. PyQGIS Scripting 16. Other Books You May Enjoy

Georeferencing imagery

Maps and aerial photographs in hard copy have a lot of valuable data on them. When this data needs to be brought into a GIS, they are digitally scanned to produce raster imagery. The output of a digital scanner has a coordinate system, but it is a local coordinate system created by the scanning process. The scanned imagery needs to be georeferenced to a real-world coordinate system before it can be used in a GIS.

Georeferencing is the process of transforming the coordinate reference system (CRS) of a raster dataset into a new coordinate reference system. Often, the process transforms the CRS of a spatial dataset from a local coordinate system to a real-world coordinate system. Regardless of the coordinate systems involved, we'll call the coordinate system of the raster to be georeferenced the source CRS, and the coordinate system of the output...

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