Book Image

Learning QGIS - Third Edition

By : Anita Graser
Book Image

Learning QGIS - Third Edition

By: Anita Graser

Overview of this book

QGIS is a user-friendly open source geographic information system (GIS) that runs on Linux, Unix, Mac OS X, and Windows. The popularity of open source geographic information systems and QGIS in particular has been growing rapidly over the last few years. Learning QGIS Third Edition is a practical, hands-on guide updated for QGIS 2.14 that provides you with clear, step-by-step exercises to help you apply your GIS knowledge to QGIS. Through clear, practical exercises, this book will introduce you to working with QGIS quickly and painlessly. This book takes you from installing and configuring QGIS to handling spatial data to creating great maps. You will learn how to load and visualize existing spatial data and create data from scratch. You will get to know important plugins, perform common geoprocessing and spatial analysis tasks and automate them with Processing. We will cover how to achieve great cartographic output and print maps. Finally, you will learn how to extend QGIS using Python and even create your own plugin.
Table of Contents (13 chapters)
Learning QGIS Third Edition
About the Author
About the Reviewer


In this chapter, you learned how to create new layers from scratch. We used a selection of tools to create and edit feature geometries in different ways. Then, we went into editing attributes of single features, feature selections, and whole layers. Next, we reprojected both vector and raster layers, and you learned how to convert between different file formats. We also covered tabular data and how it can be loaded and joined to our spatial data. Furthermore, we explored the use of temporary scratch layers and discussed how to check for topological errors in our data and fix them. We finished this chapter with an example of importing new data into a database.

In the following chapter, we will put our data to good use and see how to perform different kinds of spatial analysis on raster and vector data. We will also take a closer look at the Processing Toolbox, which has made its first appearance in this chapter. You will learn how to use the tools and combine them to create automated...