A Spacematrix and Clustering Approach to understanding the morphology of Singapore's Housing Development Board (HDB) Estates

Abstract

This conference paper combines Spacematrix indicators and clustering methods to analyse the morphology of Singapore’s HDB estates. The study shows how quantitative typologies can help compare public-housing environments and reveal spatial variation across neighbourhoods.

Cai Wu

Assistant Professor

I study computational urban morphology, GeoAI, and data-driven urban design, developing reproducible methods for understanding cities across scales.