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ABSTRACTHistorical patterns of land-use development across many countries in the Global North have generally been characterised by land-use segregation, low-density settlements, and limited transport accessibility. This can lead to inefficient regional developmental patterns and can increase the environmental degradation attributable to regional expansion. Numerous metrics and datasets have been employed to infer the sustainability and efficiency of these developments. Here, we quantify and visualise the relative entropy of land-use configurations across the Republic of Ireland using a novel dataset. Specifically, we combine the discipline-standard CORINE Land Cover 2018 dataset and OpenStreetMap data, which provides more thorough land-use classifications in urban areas. Spatial differences in relative entropy are visualised using a spatial typology distinguishing between areas exhibiting low and high levels of relative entropy. Our Main Map visualises the coverage of both CORINE and OpenStreetMap datasets, compares relative entropy estimates for both datasets, and illustrates the disparities in cross-dataset estimates.