Book Image

Automated GIS Workflows with PyQGIS [Video]

By : Joel Lawhead
Book Image

Automated GIS Workflows with PyQGIS [Video]

By: Joel Lawhead

Overview of this book

<p>QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language—Python, we can write effective scripts that extend the core functionality of QGIS.</p> <p>Based on version QGIS 2.18, this video 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 Creating Dynamic Maps.</p> <p>You will also learn to compose static maps, interact with users.</p> <p>Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we’ll also share a few tips and tricks based on different aspects of QGIS.</p> <h1>Style and Approach</h1> <p>This video follows a recipe-based problem-solution approach to address and dispel challenges faced when implementing and using QGIS on a regular basis. The short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain.</p>
Table of Contents (6 chapters)
Chapter 1
Creating Dynamic Maps
Content Locked
Section 15
Creating a Categorized Vector Layer Symbol
A categorized vector layer symbol allows you to create distinct categories with colors and labels for unique features. In this video, we'll categorize a vector layer into three different categories. - Load the vector layer - Create three categories of land use - Render them as categorized symbols