Chapter 1, A Refreshing Look at QGIS, covers those features that were new to QGIS in version 3.0 and those that have now been introduced at version 3.4 and version 3.6.
Chapter 2, Styling Raster and Vector Data, explores styling raster and vector data for display. First, color selection and color ramp management are covered. Next, single-band and multi-band raster data is styled using custom color ramps and blending modes. Then, complex vector styles and vector layer rendering are covered.
Chapter 3, Creating Spatial Databases, introduces the user to the use of databases that are locally stored in file directories, such as Spatialite and GeoPackages. Users will learn how to create their own local database, as well as how to add data into it from scratch, or import existing data.
Chapter 4, Preparing Vector Data for Processing, introduces you to the tools and functions that come as standard within QGIS for working with vector datasets.
Chapter 5, Preparing Raster Data for Processing, introduces you to the tools and functions that come as standard within QGIS for working with rasters.
Chapter 6, Advanced Data Creation and Editing, provides advanced ways to create vector data. As there is a great deal of data in tabular format, this chapter will cover mapping coordinates and addresses from tables. Next, georeferencing of imagery into a target coordinate reference system will be covered. The final portion of the chapter will cover testing topological relationships in vector data and correcting any errors via topological editing.
Chapter 7, Advanced Data Visualization, covers the powerful data visualization tools found only in QGIS.
Chapter 8, The Processing Toolbox, begins with an explanation and exploration of the QGIS Processing Toolbox. Various algorithms and tools, available in the toolbox, will be used to complete common spatial analyses and geoprocessing tasks for both raster and vector formats. To illustrate how these processing tools might be applied to real-world questions, two hypothetical scenarios are illustrated, relying heavily on the GRASS and SAGA tools.
Chapter 9, Automating Workflows with the Graphical Modeler, covers the purpose and use of the graphical modeler to automate analysis workflows. In this chapter, you will develop an automated tool/model that can be added to the Processing Toolbox.
Chapter 10, Creating QGIS Plugins with PyQGIS and Problem Solving, covers the foundational information required to create a Python plugin for QGIS. Information about the API and PyQGIS help will be covered first, followed by an introduction to the iface and QGis classes. Next, the steps required to create and structure a plugin will be covered. The chapter will be wrapped up after providing you with information on creating graphical user interfaces and setting up debugging environments to debug code easily.
Chapter 11, PyQGIS Scripting, covers topics on integrating Python analysis scripts with QGIS outside of the Processing Toolbox. Layer loading and management are first covered, followed by an exploration of the vector data structure. Next, the programmatic launching of other tools and external programs are covered. Lastly, the QGIS map canvas is covered with respect to how a script can interact with the map canvas and layers within.
