
Urban Embeddings Explorer
Discovering visually similar neighbourhoods across 200+ cities from satellite embeddings.
Research, coursework and side projects, mostly where remote sensing, machine learning and urban analysis meet.

Discovering visually similar neighbourhoods across 200+ cities from satellite embeddings.

Animating an average week of pedestrian counts and hourly traffic volume across Melbourne's street network.

Mapping informal settlements across Central America by fusing satellite imagery with building footprints.

A composite liveability index for Auckland, linking 29 spatial indicators to socioeconomic outcomes.

An agent-based model of pedestrians walking to cafés across Melbourne.

Mapping COVID-19 case and death rates against sociodemographic factors across England.

Clustering 6,500+ cities worldwide into morphological types from OSM building and street form.

A Google Earth Engine app mapping flood-prone areas in Pakistan against population, economy and agriculture.