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Beyond Geodesic Mapping

Authors: Ahmed Amin;

Beyond Geodesic Mapping

Abstract

This study critically re-evaluates traditional linear geometric models used to interpret the spatial distribution of archaeological sites relative to stellar patterns, as these models frequently neglect Earth’s curvature and planar projection distortions. As a mathematically robust alternative, we propose the Symbolic Azimuthal Corridor model, utilizing the Great Pyramid of Giza as a geodetic datum for directional analysis.Circular statistics (Rayleigh test) applied to a core sample (n = 10) demonstrate a strong directional clustering toward the south (μ = 169.4°, R = 0.973). While this high concentration reflects a pronounced pattern, potential hypothesis-driven selection bias was addressed by testing a combined dataset (n = 18) incorporating geographically independent control sites. Despite the introduction of spatial noise, the dataset remains statistically significant (R = 0.430, p = 0.0335), indicating a persistent directional signal.The model was further extended into a predictive remote sensing framework using Sentinel-2 NDVI/NDWI indices, demonstrating correspondence with known archaeological features, including elite tumuli in the Ferka region (Sudan) and megalithic pillar sites in the Turkana Basin (Kenya).Finally, the model identifies three High-Probability Targets (HPTs) in the Toshka Triangle, providing testable spatial hypotheses for future geophysical validation. These findings suggest that ancient African spatial organization may have incorporated a persistent symbolic or cosmological directional framework, rather than a precise one-to-one geometric mapping.Keywords: Spatial Archaeometry, Circular Statistics, Remote Sensing, Archeoastronomy, Azimuthal Analysis, Predictive Modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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