Welcome to the homepage of the Computational Geography lab at the Department of Physical Geography, Utrecht University, the Netherlands. Our team conducts research at the intersection of computational sciences and geography. We design methods and software for spatio-temporal simulation modelling and use computational models to predict and improve our understanding of geographical systems. Our research has links with data science, complexity science, and scientific software engineering, with applications in hydrology, eco-geomorphology, health geography, and related domains.

Vacancy: PhD candidate (fully funded) on Paleo-ecological data science - cooperation between the paleo-ecology group and the computational geography groups within the Dep. of Physical Geography, Utrecht University

Vacancy: PhD candidate (fully funded). Modelling the impact of climate change on spatial inequality in Water-Energy-Food security in South Africa


temporal objects and fields in the LUE data model

Path area

path area of individuals for air pollution exposure assessment