QGIS Python Programming Cookbook

More Information
Learn
  • Build a library of reusable scripts with ScriptRunner
  • Create, import, and edit geospatial data on disk or in memory
  • Get to know more about dynamic mapping
  • Create and add features to static maps
  • Create a mapbook
  • Reproject a vector layer
  • Geolocate photos on a map
  • Combine multiple rasters into one image
About

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 this powerful tool.

Features
  • 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
Page Count 340
Course Length 10 hours 12 minutes
ISBN 9781783984985
Date Of Publication 26 Mar 2015

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.