Appendices
References
Geo Spatial Data Science for Global Studies
Preface
Geo Spatial Data Science with R and QGIS
1
Introduction to Geospatial Data Science with QGIS and R
2
Chapter 2: Making Sense of Spatial Data Using GIS & Geocoding and Georeferencing
3
Advanced Spatial Data Manipulation Using QGIS and R
Exercises
GIS for Global Studies
4
Global Trade and Corporate Power: The Importance of Location
Exercises
5
Globalization and Migration: Intersecting Histories and Contemporary Dynamics
6
Chapter 5: Global Finance and Its Historical Development
GIS for Global Issues
7
The Evolution of Global Political Structures and Their Spatial Dimensions
Exercises
8
The Global Food System and Its Spatial Implications
9
The Environmental Impacts of Globalization
Spatial Data Science
10
Advanced Spatial Analysis and Scripting in QGIS
11
Spatial Autocorrelation
12
Integrating Data Sources and Enhancing Interoperability in QGIS
13
Geospatial Models: Leveraging Computational Power for Spatial Analysis
14
Generative AI for Geospatial Data Science
Appendices
Research Guide
Get Started with QGIS
Get Started with R
Appendix: Advanced Mapping Techniques with Leaflet
Summary
References
Appendices
References
References
Code
Summary
Source Code
# References {.unnumbered}
::: {#refs}
:::