About me

I am working on a range of topics concerned with environmental change and the associated coping strategies of our societies. I have been studying Geography and Political Sciences of the MENA region at the University of Marburg, focusing on Remote Sensing, Climatology, and Hydrogeography. Mainly, I use R-spatial packages for analysis and visualization of geospatial data. With my Data Science skills I have helped teams in the development cooperation sector to generate information for better decision making. I advocate for the use of OpenSource technologies to democratize access to both tools and data. Currently, I am working as a research associate at the Federal Institute for Geosciences and Resources. I also offer freelance consulting services using R and Python for reproducible analysis of spatial data.


  • R
  • R Markdown
  • Quarto
  • Python
  • Shiny
  • Docker
  • Data Analysis
  • Machine Learning
  • Geographic Information System
  • PostgreSQL
  • Bash

Selected projects

MAPME Initiative: Maps for Planning, Monitoring, and Evaluation in the Development Cooperation Sector, funded by KfW, Contributer to several software packages www.mapme-initiative.org.

{mapme.biodiversity}: Maintainer of an R package for the collection of variables for global biodiversity portfolios.

Predicting violent conflict in Africa - Leveraging open geodata and deep learning for spatiotemporal event detection, M.Sc. thesis at the University of Marburg, submitted to the Chair of Climatology and Remote Sensing and the Chair of Environmental Informatics. (https://goergen95.github.io/thesis-predicting-conflict)