Adapting to a global urban future requires diverse, long-term perspectives on urbanism. URBank supports this by bringing together global deep-time urban datasets in a modern open-science computing platform. Its design eschews checklist definitions of cities, representing the variability of past urbanism and enabling systematic comparative spatiotemporal research.
Carleton et al. (Fri,) studied this question.
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