QGIS Python Programming Cookbook

Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

About This Book

• Use Python and QGIS to create and transform data, produce appealing GIS visualizations, and build complex map layouts
• Learn undocumented features of the new QGIS processing module
• A set of user-friendly recipes that can automate the entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes

Who This Book Is For

If you are a geospatial analyst who wants to learn more about automating everyday GIS tasks or a programmer who is responsible for building GIS applications,this book is for you. The short, reusable recipes make concepts easy to understand. You can build larger applications that are easy to maintain when they are put together.

In Detail

QGIS Python Programming will teach you how to write Python code that works with spatial data to automate geoprocessing tasks in QGIS. It will cover topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, reproject a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will come across recipes that will help you to compose static maps, create heavily customized maps, and add specialized labels and annotations. Apart from this, the book will also share a few tips and tricks based on different aspects of QGIS.

Table of Contents

Chapter 1. Automating QGIS
Chapter 2. Querying Vector Data
Chapter 3. Editing Vector Data
Chapter 4. Using Raster Data
Chapter 5. Creating Dynamic Maps
Chapter 6. Composing Static Maps
Chapter 7. Interacting with the User
Chapter 8. QGIS Workflows
Chapter 9. Other Tips and Tricks