Create a standardized, quantitative metric (and map‑projection workflow) that measures how closely PCA axes align with latitude/longitude for any dataset, reports variance explained, cross‑correlations, and flags populations that deviate because of admixture or recent migration. Publish the metric as a simple provenance badge and machine‑readable checklist to accompany any public‑facing PCA figure.
— A public, auditable congruence score would curb overinterpretation of PCA maps in media, courts, and policy and make claims about ancestry and geographic origin more evidence‑based and transparent.
Davide Piffer
2026.01.06
100% relevant
Davide Piffer’s article implements regressions of PC1~latitude and PC2~longitude and projects PCA onto a basemap — this can be formalized into the proposed metric and reporting badge.
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