Unsupervised learning (UL) has a long and successful history in untangling the complexity
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …

Processes of neighborhood change are the result of the unfolding of events and decisions
by multiple actors operating at varying spatial and temporal scales, enabled and constrained …

Cities have established official neighborhood boundaries for targeted social policy in recent
decades. The authors propose that a sociological conception of neighborhoods sensitizes …

One by one, many of the working class quarters of London have been invaded by the middle
classes–upper and lower. Shabby, modest mews and cottages–two rooms up and two down …

This paper is part IV of “towards a model of urban evolution”. It demonstrates how the
Toronto Urban Evolution Model (TUEM) can be used to encode city data, illuminate key …

Urban research has long recognized that neighbourhoods are dynamic and relational.
However, lack of data, methodologies, and computer processing power have hampered a …

Temporal clustering extends the conventional task of data clustering by grou** time series
data according to shared temporal trends across sociospatial units, with diverse applications …

In the coming decades, most of Asia's population will reside in megacities, vast urban
regions accommodating 10–30 million people. However, Asian megacities will be at the …