Book Image

QGIS Python Programming Cookbook, Second Edition - Second Edition

By : Joel Lawhead
Book Image

QGIS Python Programming Cookbook, Second Edition - Second Edition

By: Joel Lawhead

Overview of this book

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. Based on version QGIS 2.18, this book 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 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.
Table of Contents (16 chapters)
QGIS Python Programming Cookbook - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Creating a mapbook


A mapbook is an automatically generated document, which can also be called an atlas. A mapbook takes a dataset and breaks it down into smaller, detailed maps based on a coverage layer that zooms the larger map to each feature in the coverage in order to make a page of the mapbook. The coverage layer may or may not be the same as the map layer featured on each page of the mapbook. In this recipe, we'll create a mapbook that features all the countries in the world.

Getting ready

For this recipe, you need to download the world countries dataset and put it in a directory named shapes within your qgis_data directory from https://github.com/GeospatialPython/Learn/raw/master/countries.zip.

Next, you'll need to install the PyPDF2 library. On Linux or OSX, just open a console and run the following command:

sudo easy_install PyPDF2

On Windows, open the OSGeo4W console from your start menu and run this:

easy_install PyPDF2

Finally, in your qgis_data directory, create a folder called...