Skip to content

Latest commit

 

History

History
20 lines (16 loc) · 1.23 KB

README.md

File metadata and controls

20 lines (16 loc) · 1.23 KB

Using machine learning and satellite imagery to estimate aid's effect on wealth: comparing China and World Bank programs in Africa

Code in support of a thesis for a Masters of Computational Social Science at Linköping University.

Overview:

  • R: contains majority of the analysis code. The code
    • writes .csv files to the ./data/interim directory which are read by later scripts.
    • writes maps, charts, and figures to a ./figures directory
    • writes tables to a ./tables directory
    • reads shapefiles, aid project, and confounder data from a ./data directory
    • writes results to a ./results directory
  • python: scripts used to download satellite imagery over DHS points to NAISS (National Academic Infrastructure for Supercomputing in Sweden)
  • scripts:
    • batch utility scripts to run on Windows laptop and NAISS environment
    • slurm scripts to exeucte long-running R scripts on NAISS
  • env_conf: apptainer recipes to configure the NAISS python and RStudio environment where analysis runs