Book Image

Mastering Geospatial Development with QGIS 3.x - Third Edition

By : Shammunul Islam, Simon Miles, Kurt Menke, GISP, Richard Smith Jr., GISP, Luigi Pirelli, John Van Hoesen, GISP
Book Image

Mastering Geospatial Development with QGIS 3.x - Third Edition

By: Shammunul Islam, Simon Miles, Kurt Menke, GISP, Richard Smith Jr., GISP, Luigi Pirelli, John Van Hoesen, GISP

Overview of this book

QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Introducing the Processing Toolbox


The Processing Toolbox provides a one-stop-shop that helps you find the algorithms that not only belong to the QGIS tools, but also those belonging to some third party. 

This initially allowed the algorithms that were QGIS natives and were a part of geospatial packages. They could be accessed only by using the software or through the command line. We can now access algorithms from the following providers using the Toolbox:

  • QGIS geo-algorithms
  • GDAL/OGR
  • GRASS
  • SAGA
  • R
  • Models
  • Scripts

We will not make use of all the algorithm providers or explore all the available algorithms in this chapter; however, the last two entries in the list offer additional options for creating reusable graphical models and running Python scripts, which are covered in Chapter 9Automating Workflows with the Graphical Modeler, and Chapter 10, Creating QGIS Plugins with PyQGIS and Problem Solving, respectively.