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Building Mapping Applications with QGIS

You're reading from   Building Mapping Applications with QGIS Create your own sophisticated applications to analyze and display geospatial information using QGIS and Python

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783984664
Length 264 pages
Edition 1st Edition
Tools
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with QGIS FREE CHAPTER 2. The QGIS Python Console 3. Learning the QGIS Python API 4. Creating QGIS Plugins 5. Using QGIS in an External Application 6. Mastering the QGIS Python API 7. Selecting and Editing Features in a PyQGIS Application 8. Building a Complete Mapping Application using Python and QGIS 9. Completing the ForestTrails Application Index

Organizing the QGIS Python libraries

Now that we can understand the C++-oriented documentation, let's see how the PyQGIS libraries are structured. All of the PyQGIS libraries are organized under a package named qgis. You wouldn't normally import qgis directly, however, as all the interesting libraries are subpackages within this main package; here are the five packages that make up the PyQGIS library:

qgis.core

This provides access to the core GIS functionality used throughout QGIS.

qgis.gui

This defines a range of GUI widgets that you can include in your own programs.

qgis.analysis

This provides spatial analysis tools to analyze vector and raster format data.

qgis.networkanalysis

This provides tools to build and analyze topologies.

qgis.utils

This implements miscellaneous functions that allow you to work with the QGIS application using Python.

The first two packages (qgis.core and qgis.gui) implement the most important parts of the PyQGIS library, and it&apos...

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