UCDB Struggles with Accuracy in Low-Income Countries
paulnovosad · x · 2026-07-15
They noted that many global studies rely on standard datasets like UCDB/GHSL to automatically label and define urban areas.
However, this density-threshold approach performs poorly in low-income countries because rural populations there can be inherently dense, distorting the resulting urban boundaries.
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