Learn to view, edit and analyse geospatial data using QGIS and Python 3
Key Features
- Leverage the power of QGIS to add professionalism to your maps
- Explore and work with the newly released features like Python 3, GeoPackage, 3D views, Print layouts in QGIS 3.4
- Build your own plugins and customize maps using QT designer
Book Description
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 will help you get started on your QGIS journey, guiding you to develop your own processing pathway. You will explore the user interface, loading your data, editing, and then creating data. QGIS often surprises new users with its mapping capabilities; you will discover how easily you can style and create your first map. But that's not all! In the final part of the book, you'll learn about spatial analysis and the powerful tools in QGIS, and conclude by looking at Python processing options.
By the end of the book, you will have become proficient in geospatial analysis using QGIS and Python.
What You Will Learn
- 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
Who this book is for:
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
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 and is the co-host of the scenefromabove podcast.
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.
