A Comparison of Distribution Models for Ranked Architectural Sizes at Tikal: An Empirical Assessment of an Archaeological Economic Indicator

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Authors: Imaizumi, Kazuya
Cited by: 0
References: 1

Abstract

When ranked data exhibit regime shifts, model choice becomes part of the substantive claim rather than a technical detail. Within the framework of Material Culture Macroecology (MME), a macroecological approach to material inequality, this preprint uses a single rank–value dataset (n = 501) derived from architectural group size at Tikal (Guatemala) to empirically compare three candidate distribution models: a power-law (Pareto) model, an exponential model, and a connected two-part model that combines a power-law regime with an exponential regime separated by an estimated cutoff rank. The results show that the ranking is not adequately captured by a single distribution form; instead, it exhibits a composite structure in which distributional properties change across ranking regions, consistent with an MME view that inequality can be continuous yet structurally patterned. In addition, the preprint addresses a practical issue in archaeological description: how to relate a continuous, distribution-based economic-indicator structure to categorical hierarchies used in reporting and comparison. As a worked example, it provisionally proposes a nine-level hierarchy based on structural attributes and demonstrates how continuous quantities can be translated into classificatory practice without negating distribution-analytic results. For reproducibility, the study provides detailed preprocessing and estimation procedures in Appendices A–C and makes the rank–value dataset and integrated analysis code publicly available on Zenodo (doi:10.5281/zenodo.18500507).

Fields of Study & Subjects

Historical Studies in Central America Historical and Architectural Studies Archaeological and Geological Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN
Document type
Preprint