A Geometric Point Pattern Model for Identifying Subsurface Interface Zones: Statistical Validation and Blind Prediction Tests

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Authors: Dylan Schofield
Cited by: 0

Abstract

We report a geometric point pattern model that treats Earth as a sphere and asks whether a small set of globally distributed "anchor sites" can be connected by a fixed menu of target distances defined as fractions of a single global scale, λ. The model is intentionally agnostic about any ancient-use story: it outputs coordinates; independent Earth-system layers are then used to test whether those coordinates are measurably non-random. Using a fixed parameter set (λ≈38,287.67 km; fractions F={1/20, 1/5, 1/3}; tolerance ε=1%), we observe: (1) a statistically significant network among 12 anchor sites vs. latitude-preserving null worlds (p

Fields of Study & Subjects

Planetary Science and Exploration Geological Modeling and Analysis Karst Systems and Hydrogeology

Publication details

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