Book Image

QGIS:Becoming a GIS Power User

By : Ben Mearns, Alex Mandel, Alexander Bruy, Anita Graser, Víctor Olaya Ferrero
Book Image

QGIS:Becoming a GIS Power User

By: Ben Mearns, Alex Mandel, Alexander Bruy, Anita Graser, Víctor Olaya Ferrero

Overview of this book

The first module Learning QGIS, Third edition covers the installation and configuration of QGIS. You’ll become a master in data creation and editing, and creating great maps. By the end of this module, you’ll be able to extend QGIS with Python, getting in-depth with developing custom tools for the Processing Toolbox. The second module QGIS Blueprints gives you an overview of the application types and the technical aspects along with few examples from the digital humanities. After estimating unknown values using interpolation methods and demonstrating visualization and analytical techniques, the module ends by creating an editable and data-rich map for the discovery of community information. The third module QGIS 2 Cookbook covers data input and output with special instructions for trickier formats. Later, we dive into exploring data, data management, and preprocessing steps to cut your data to just the important areas. At the end of this module, you will dive into the methods for analyzing routes and networks, and learn how to take QGIS beyond the out-of-the-box features with plug-ins, customization, and add-on tools. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: ? Learning QGIS, Third Edition by Anita Graser ? QGIS Blueprints by Ben Mearns ? QGIS 2 Cookbook by Alex Mandel, Víctor Olaya Ferrero, Anita Graser, Alexander Bruy
Table of Contents (6 chapters)

Chapter 5. Demonstrating Change

In this chapter, we will encounter the visualization and analytical techniques of exploring the relationships between place and time and between the places themselves.

The data derived from temporal and spatial relationships is useful in learning more about the geographic objects that we are studying—from hydrological features to population units. This is particularly true if the data is not directly available for the geographic object of interest: either for a particular variable, for a particular time, or at all.

In this example, we will look at the demographic data from the US Census applied to the State House Districts, for election purposes. Elected officials often want to understand how the neighborhoods in their jurisdictions are changing demographically. Are their constituents becoming younger or more affluent? Is unemployment rising? Demographic factors can be used to predict the issues that will be of interest to potential voters...