QGIS Python Programming Cookbook (English Edition): Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework - Softcover

Lawhead, Joel

 
9781783984985: QGIS Python Programming Cookbook (English Edition): Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

Inhaltsangabe

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

Key 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

Book Description

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.

What you will 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

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Über die Autorin bzw. den Autor

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.

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