QGIS Python Programming Cookbook - Second Edition

More Information
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
About

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 QGIS.

Based 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.

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
Page Count 464
Course Length 13 hours 55 minutes
ISBN 9781787124837
Date Of Publication 14 Mar 2017

Authors

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional, a certified GIS Professional, and the Chief Information Officer of NVision Solutions Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog, GeospatialPython, and Twitter feed, @SpatialPython.