By Joel Lawhead

Over a hundred and forty recipes that will help you flip QGIS from a machine GIS software right into a strong automatic geospatial framework

About This Book

  • Use Python and QGIS to create and rework information, produce attractive GIS visualizations, and construct advanced map layouts
  • Learn undocumented positive factors of the recent QGIS processing module
  • A set of common recipes which could automate the total geospatial workflows by means of connecting Python GIS development blocks into complete processes

Who This booklet Is For

If you're a geospatial analyst who desires to examine extra approximately automating daily GIS initiatives or a programmer who's accountable for construction GIS applications,this ebook is for you. the fast, reusable recipes make thoughts effortless to appreciate. you could construct greater purposes which are effortless to take care of once they are placed together.

What you'll Learn

  • Build a library of reusable scripts with ScriptRunner
  • Create, import, and edit geospatial info on disk or in memory
  • Get to grasp extra approximately dynamic mapping
  • Create and upload positive aspects to static maps
  • Create a mapbook
  • Reproject a vector layer
  • Geolocate pictures on a map
  • Combine a number of rasters into one image

In Detail

QGIS Python Programming will educate you ways to write down Python code that works with spatial facts to automate geoprocessing projects in QGIS. it's going to hide themes comparable to querying and modifying vector facts and utilizing raster info. additionally, you will learn how to create, edit, and optimize a vector layer for speedier queries, reproject a vector layer, lessen the variety of vertices in a vector layer with no wasting severe info, and convert a raster to a vector. Following this, you'll stumble upon recipes to help you to compose static maps, create seriously custom-made maps, and upload really good labels and annotations. except this, the e-book also will proportion a couple of information and methods in line with varied facets of QGIS.

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Additional info for QGIS Python Programming Cookbook

Example text

It is not just a project in itself, but the marriage of dozens of open source projects in a single, clean interface. Yet, QGIS packages all this complexity so well that school children, city managers, disease researchers, geologists, and many other professionals wield this powerful software with ease to make decisions that improve life on earth. Almost without exception, the Python API, called PyQGIS, is consistent and predictable. This book covers a lot of ground and pulls together fragmented ideas and documentation scattered throughout the Internet as well as the results of many hours of experimenting at the edges of the PyQGIS API.

Why Subscribe? Simply use your login credentials for immediate access. It is not just a project in itself, but the marriage of dozens of open source projects in a single, clean interface. Yet, QGIS packages all this complexity so well that school children, city managers, disease researchers, geologists, and many other professionals wield this powerful software with ease to make decisions that improve life on earth. Almost without exception, the Python API, called PyQGIS, is consistent and predictable.

It includes recipes to access external web services and build custom map tools. You will learn how to place reference elements on a map as well as design elements such as logos. Chapter 7, Interacting with the User, teaches you how to control QGIS GUI elements created by the underlying Qt framework in order to create interactive input widgets for scripts, plugins, or standalone applications. These recipes target actual tasks that geospatial analysts or programmers encounter on the job. Many of these recipes demonstrate multiple concepts within a single recipe, which you may find useful for a variety of tasks.

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