By Erik Westra
Create your personal refined purposes to investigate and demonstrate geospatial info utilizing QGIS and Python
About This Book
- Make use of the geospatial features of QGIS inside your Python programs
- Build whole standalone mapping purposes in response to QGIS and Python
- Use QGIS as a Python geospatial improvement environment
Who This e-book Is For
If you're an skilled Python developer who desires to create your personal geospatial purposes with minimal fuss, this is often the publication for you. whereas a few familiarity with mapping purposes will be a bonus, no earlier wisdom of geospatial recommendations is needed. whether you've got by no means used QGIS earlier than, this booklet will speedy get you as much as speed.
What you are going to Learn
- Use the Python Console to discover and keep watch over QGIS
- Perform geospatial improvement projects utilizing the PyQGIS Python library
- Create priceless geospatial functions applied as QGIS Python plugins
- Use QGIS as a standalone geoprocessing library inside your Python programs
- Build complicated interactive map-based GUIs inside your personal Python programs
- Understand how Python scripting can be utilized to customise the QGIS system
- Utilize the genuine strength of Python and QGIS to create your individual whole mapping applications
QGIS is without doubt one of the preferable open resource Geographical info platforms. whereas constructing Python geospatial functions will be not easy, QGIS simplifies the method through combining the mandatory geoprocessing libraries with a cosmopolitan consumer interface, all of which might be without delay managed utilizing Python code.
Starting with an advent to QGIS and the way to take advantage of the integrated QGIS Python Console, we'll train you the way to jot down Python code that uses the geospatial features of QGIS. development in this, you are going to finally create your individual refined standalone mapping purposes equipped on most sensible of QGIS. you'll find out how to use the Python Console as a window into the QGIS programming surroundings, after which use that surroundings to create your personal Python scripts and plugins to customise QGIS. As your wisdom of the PyQGIS library grows, you'll use it to accomplish quite a few real-world geospatial programming initiatives, culminating within the construction of your individual complicated standalone purposes to load, study, and demonstrate geospatial data.
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Extra info for Building Mapping Applications with QGIS
The following features are currently supported: • Pressing the up and down arrow keys will move through the command history, making it easy to re-enter the Python commands you typed earlier. • You can display a list of previously-entered commands by pressing Ctrl + Shift + Space (command + Shift + Space on Mac). • If you select some text in the Interpreter Log, you can use the Enter Selected command to move that text to the shell and execute it. This command is available in the console's pop-up menu, or it can be accessed by pressing Ctrl + E (command + E if you are running Mac OS X).
We will also use the console as a looking-glass to examine the world of QGIS programming. In particular, we will learn the following: • Explore the ways in which the console can be used to develop and execute Python code • Learn how to write Python scripts using the console's built-in source code editor • Discover various tips and techniques to work with the QGIS Console • Figure out how to manipulate the current project within QGIS using Python commands • Access geospatial data and perform geospatial calculations using the console • Use various QGIS user-interface elements within our Python programs Using the console While you briefly used the QGIS Console in the previous chapter, it is worth examining the QGIS Console window in more detail, so that you are aware of the various features that are available.
However, let's use what we've learned to build a simple program that calculates and displays information about the contents of a shapefile. Shapefiles hold geospatial features such as polygons, lines and points, and each feature can have any number of attributes associated with it. We'll write a program that opens and scans through a shapefile, identifying the features and calculating the length of each line feature and the area of each polygon feature. We'll also calculate the total length and area across all the features.