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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
Languages
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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
+2 more Show less
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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

Advanced Data Creation and Editing

This chapter will provide you with a number of advanced ways to create vector and raster data. We will see explanations and step-by-step examples of mapping raw coordinate data, geocoding address-based data, georeferencing imagery, validating vector data with topological rules, and topological editing. With the topics covered up to this point, you will be able to work with a variety of vector, raster, and tabular input data. You will also see advanced ways to create vector and raster data. There is a great deal of spatial data held in tabular format. Readers will learn how to map coordinate-based and address-based data. Other common sources of geospatial data are historic aerial photographs and maps, in a hardcopy format. You will learn how to georefer scanned imagery and transform it into a target coordinate reference system. The final...

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