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• The Gini index is used to measure differentiation in house size as a proxy to interpret inequality across a large environmental lidar dataset that documented a palimpsest of Maya archaeological settlement and landscapes. • We identify consistent patterns and Gini coefficients across the Maya lowlands, with notably lower values in peripheral areas, including coastal zones and the Western lowlands. • Despite the narrow lidar transects, the results of this study align with regional and site-based approaches across the Maya area. The emergence and expansion of inequality have been topics of household archaeology for decades. Traditionally, this question has been informed by ethnographic, ethnohistoric and/or comparative studies. Within sites and regions, comparative physical, spatial, and architectural studies of households offer an important baseline of information about status, wealth, and well-being, especially in the Maya lowlands where households are accessible in the archaeological record. Between sites, more research is necessary to assess how these physical measurements of household remains compare. This paper investigates the intersection of landscape, household, and community based on a multi-scalar analysis of households using the Gini index across southeastern Mexico, in the context of a broader study of land use, land management, and settlement patterns. Notably, this paper represents a region-wide analysis of nearly continuous LiDAR data within and outside of previously documented prehispanic Maya settlements. While we conclude that the Gini index is useful for establishing a comparative understanding of settlement, we also recognize that the index is a starting point to identify other ways to study how household to community-level social and economic variability intersects with diverse ecological patterns. Highlighting the opportunities and limitations with applying measures like the Gini index across culturally, temporally, and geographically heterogeneous areas, we illustrate how systematic studies of settlement can be coupled to broader studies of landscape archaeology to interpret changing patterns of land management and settlement across the Maya lowlands. [ABSTRACT FROM AUTHOR]

In arid and semi-arid regions, unregulated land use changes as a result of poor planning, and the expansion of agricultural and livestock activities increase the risk of desertification and other potentially severe environmental impacts. Several consequences of improper land management practices are soil deterioration and erosion, which may be intensified by meteorological events. This paper presents a historical evaluation of the temporal and spatial evolution of soil deterioration in the southern Chihuahuan Desert in Mexico. A multi-temporal analysis of the study area during the 1995–2016 period was carried out using satellite data (Landsat series). Two seasons were analyzed to determine the influence of external events such as rainfall and wind: dry and rainy. The identification of soil conditions was based on the Brightness Index (BI) considering the complete satellite data set. The soil conditions were classified into five categories according to their reflectance values: highly deteriorated, deteriorated, in the process of being deteriorated, in good condition and other (clouds, water, non-soil). The change detection maps clearly show a growing trend wherein areas of deteriorated and eroded soil increase over time. Agriculture and strong winds are the two main factors involved in the soil deterioration process of the study region. • Deficient agricultural practices and strong winds precursors to desertification. • Spatial-temporal identification of deteriorated soil in arid/semi-arid zones. • Spectral analysis based method for categorization of soil conditions. • Comparative analysis of sensitivity in rainy and dry seasons. [ABSTRACT FROM AUTHOR]