Policy-oriented introduction to geographic data science methods and workflows in R.
Course website
Core concepts for spatial data, mapping and analytic reasoning.
Supervised learning and model-based inference for applied research.
Spatial modelling frameworks and implementation strategies for real-world data.
Computational methods and digital trace data for social science research and practice.
