Spatial structure in urban water consumption: A Bayesian space-time analysis of Bogotá (2019–2024)
In this study, we apply fully Bayesian spatio-temporal models to locality-level water consumption in Bogotá, Colombia, from 2019 through 2024. An additive model identifies spatial differences after adjusting for common temporal dynamics and city-wide climatic and socioeconomic time series. Because these covariates ar...