This is the code repository for Learn QGIS - Fourth Edition, published by Packt.
Your step-by-step guide to the fundamental of QGIS 3.4
QGIS 3.4 is the first LTR (long term release) of QGIS version 3. This is a giant leap forward for the project with tons of new features and impactful changes. Learn QGIS is fully updated for QGIS 3.4, covering its processing engine update, Python 3 de-facto coding environment, and the GeoPackage format.
This book covers the following exciting features: Explore various ways to load data into QGIS Understand how to style data and present it in a map Create maps and explore ways to expand them Get acquainted with the new processing toolbox in QGIS 3.4 Manipulate your geospatial data and gain quality insights Understand how to customize QGIS 3.4 Work with QGIS 3.4 in 3D
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
my_features = v_layer.getFeatures()
for feature in my_features:
print (feature.attributes())
Following is what you need for this book: If you are a developer or consultant familiar with the basic functions and processes of GIS and want to learn how to use QGIS to analyze geospatial data and create rich mapping applications, this book is for you. You’ll also find this book useful if you’re new to QGIS and wish to grasp its fundamentals
With the following software and hardware list you can run all code files present in the book (Chapter 1-6).
Chapter | Software required | OS required |
---|---|---|
1-6 | QGIS 3.4 | Windows, Mac OS X, and Linux (Any) |
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) | ||
Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Andrew Cutts is a Geospatial freelancer based in West Sussex, UK. He has almost 20 years industry experience across several sectors. He holds a degree in Geography and a Masters in GIS (awarded in 2002). Andrew consults for clients worldwide and gives training in Geospatial technology, themes include Python, GIS and Earth Observation. Andrew writes extensively on the topic of Geospatial technology on his blog www.acgeospatial.co.uk and is the co-host of the scenefromabove podcast. You can follow him on Twitter @map_andrew.
Anita Graser is a spatial data scientist, open source GIS advocate, and author with a background in geographic information science. She is currently working with the Center for Mobility Systems at the Austrian Institute of Technology in Vienna and teaching QGIS classes at UNIGIS Salzburg. She serves on the QGIS project steering committee. and has published several books about QGIS. Furthermore, she develops tools, such as the Time Manager plugin for QGIS. You can follow her on Twitter @underdarkGIS.
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