GIS for Global Issues

Part III of Geo Spatial Data Science with QGIS and R delves deeper into the application of geospatial data science to address some of the most pressing global issues of our time. Building on the techniques and methodologies covered in the previous sections, this part focuses on advanced analytical approaches to explore and solve complex global challenges.

In this section, we will examine how geospatial data can be used to map and analyze issues such as global political risks, pandemics, environmental change, and the impacts of globalization on food systems. You will learn how to harness the full potential of QGIS and R to integrate various types of data—geolocated text, images, structured data, and even data from unmanned aerial vehicles (UAVs)—to create comprehensive and insightful analyses.

Part III emphasizes the importance of interdisciplinary approaches, combining spatial data science with fields such as political science, environmental studies, and economics. Through a series of in-depth case studies, you will explore how spatial data science can be applied to real-world issues, providing actionable insights that can inform policy, guide decision-making, and contribute to a deeper understanding of global dynamics.

By the end of Part III, you will be equipped with the advanced skills needed to tackle global issues using geospatial data science. This knowledge will enable you to contribute to solutions that address the complexities of our interconnected world, leveraging QGIS and R to make sense of the vast amounts of spatial data available in the digital age.