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QGIS Python Programming Cookbook, Second Edition

QGIS Python Programming Cookbook, Second Edition

By : Joel Lawhead
1.5 (2)
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QGIS Python Programming Cookbook, Second Edition

QGIS Python Programming Cookbook, Second Edition

1.5 (2)
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 (10 chapters)
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Introduction

This chapter provides interesting QGIS Python tricks that didn't fit within the themes of other chapters. Each recipe has a specific purpose, but in many cases, a recipe may demonstrate multiple concepts that you'll find useful in other programs. Nearly all of the recipes in this chapter are run in the QGIS Python console, except for one that is noted in this recipe. For this second edition of the book, we have added several new recipes to this chapter. The recipes include a quick way to switch web proxies if you run QGIS on a laptop and frequently move it to different network environments. Another shows you how to capture the output names of processing scripts in case you need to use that dynamically generated output in other scripts. We cover how to run QGIS scripts as scheduled tasks for truly automated processes that start themselves at set intervals. We create a 2D globe using an azimuthal orthographic projection. And finally, we've added a recipe...

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