Gini coefficient at La Corona: The impacts of variation in analytical unit and aggregation scale

Measurements of inequality, like many other analytical phenomena, are affected by the definition of analytical units (for example, buildings or residential groups) and the spatial unit within which those units are aggregated (for example, sites or polities). We begin by considering the impact of secondary or seasonal residences on the calculation of Gini scores when dealing with regional-scale settlement data, which is a common consideration in regional-scale population estimates. We then use LiDAR-derived settlement data from northwestern Guatemala to calculate Gini coefficients for two ancient Maya sites: Late Classic La Corona and Late Preclassic Achiotal. We investigate how the scale of the spatial unit of aggregation affects our interpretations of inequality using various architecture-based indices. Finally, we provide some preliminary interpretations for the differences calculated between these two centers.