Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources

This paper addresses the challenge of obtaining precise demographic information at a fine-grained spatial level, a necessity for planning localized public services such as water distribution networks, or understanding local human impacts on the ecosystem. While population sizes are commonly availabl