About

The spectrum of my work ranges “prediction” to “protection”.  

I apply methods for geographical prediction to understand the relationship between humans and the environment, be able to model it, and subsequently predict or forecast relevant information in the fields of urban safety and crime analysis. The challenge is to fuse spatial methods or spatially-aware statistical and machine learning methods to “new” material such as geosocial media data, PPGIS, and sketch maps.

As a researcher the more data I have, the better it is for my work; I am not an exception to this rule. However, I am also aware (and concerned) of the fact that the “new” material, such as big geodata, is rich, diverse, but also often about individuals or it entails sensitive or private information. My work is also related to the privacy protection principles, practices, and algorithms regarding geodata.

Research interests

Location privacy – geocomputation – predictive analytics – crime analysis

Recent publications

Kounadi, O., Ristea, A., Araujo, A., & Leitner, M. (2020). A systematic review on spatial crime forecasting. Crime Science, 9(1), 1-22.

Georgiadou, Y., de By, R. A., & Kounadi, O. (2019). Location Privacy in the Wake of the GDPR. ISPRS international journal of geo-information, 8(3), 157

Vallejo, M., Kounadi, O., Podor, A. (2020). Analysis and mapping of crime perception: A quantitative approach of sketch maps. AGILE GIScience 2020.

Google Scholar – Ourania Kounadi