Master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial frameworkKey Features:Delve into the undocumented features of the QGIS API
Get a set of user-friendly recipes that can automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes
This book has a complete code upgrade to QGIS 2.18 and 30 new, valuable recipes

Book Description:
QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language-Python, we can write effective scripts that extend the core functionality of [...] on version QGIS 2.18, this book 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 work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we'll also share a few tips and tricks based on different aspects of QGIS.

What you will learn:Use Python and QGIS to produce captivating GIS visualizations and build complex map layouts
Find out how to effectively use the poorly-documented and undocumented features of the QGIS Python API
Automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes
Create, import, and edit geospatial data on disk or in-memory
Change QGIS settings programmatically to control default behavior
Automatically generate PDF map books
Build dynamic forms for field input

Who this book is for:
This book is for geospatial analysts who want to learn more about automating everyday GIS tasks as well as programmers responsible for building GIS applications. The short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain.