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

Chapter 8. QGIS Workflows

In this chapter, we will cover the following recipes:

  • Creating an NDVI

  • Geocoding addresses

  • Creating raster footprints.

  • Performing network analysis

  • Routing along streets

  • Tracking a GPS

  • Creating a mapbook

  • Finding the least cost path

  • Performing nearest neighbor analysis

  • Creating a DEM from LiDAR data

  • Creating a heat map

  • Creating a dot density map

  • Collecting field data

  • Computing road slope using elevation data

  • Geolocating photos on the map

  • Image change detection

  • Adjusting imprecise building footprints

  • Visualizing multi-temporal data