Anne Mimet

This paper develops a data-driven framework to parametrize urban connectivity models using movement-proxy data, finding that empirical parameters improve model performance compared to expert-based estimates.

The paper introduces a classification framework for urban landscapes to study liveability for both humans and non-humans, applying it to three European cities using geospatial data and machine learning.

The paper introduces a high-resolution model to simulate plant community dynamics in urban environments, considering building geometry and management.