RESEARCH THEMES
1. Studying the spatiotemporal relationships between UGBI and the UES they provide across multiple spatial scales;
2. Assessing the well-being impacts of UGBI and their associated UES;
3. Examining the distribution of UGBI, their associated UES, and related well-being outcomes through a social equity lens;
4. Bridging science and practice; and
5. Developing novel methodologies—such as spatial analysis, scalable indicators, remote sensing techniques, machine learning, and process-based models—to study Themes 1–3
UGBI: Urban green and blue infrastructure
UES: Urban ecosystem services
METHODOLOGY
Geospatial sciences (e.g., GIS, remote sensing) constitute the core of our methodologies, and we apply a range of spatial, machine learning, process-based, and physics-based models to describe and predict the structure, functioning, and dynamics of cities in relation to ecological and environmental outcomes. We also draw on methods from the social sciences—such as content analysis, surveys, and interviews—where appropriate to address the social dimensions of cities.