Learn QGIS

By : Cutts, Anita Graser

2 (1)

Buy this Book

Learn QGIS

2 (1)

By: Cutts, Anita Graser

Buy this Book

Overview of this book

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.

Preface

Who this book is for

What this book covers

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Free Chapter

Where Do I Start?

Installing QGIS 3.4

Running QGIS for the first time

What is new in QGIS 3

Introducing the QGIS user interface

Finding help and reporting issues

Summary

Data Creation and Editing

Data formats

Loading data

Interacting with data

Vector data

Raster data

Other data

Summary

Visualizing Data

Styling data

Styling raster layers

Saving styles

Styling vector layers

Summary

Creating Great Maps

Communicating with data

Labeling

Creating a map

Loading data

Summary

Spatial Analysis

Processing toolbox

Analyzing raster data

Combining raster and vector data

Advanced vector and raster analysis with processing

Summary

Extending QGIS with Python

Adding functionality using actions

Getting to know the Python console

Creating custom geoprocessing scripts using Python

Developing your first plugin

3D view

Summary

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Creating custom geoprocessing scripts using Python

In Chapter 5, Spatial Analysis, we used the tools of Processing Toolbox to analyze our data. We are not limited to these tools, however, as we can also write our own. We can expand processing with our own scripts. The advantages of processing scripts over normal Python scripts, such as the ones we saw in the previous section, are as follows:

Processing automatically generates a graphical user interface for the script to configure the script parameters
Processing scripts can be used in Graphical modeler to create geoprocessing models