Fordisc population affinity analysis uses what approach?

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Multiple Choice

Fordisc population affinity analysis uses what approach?

Explanation:
Fordisc uses a multivariate classification approach that compares an individual’s measurements to a database of reference populations and then narrows the field by discarding the weakest matches until only a small number of closest groups remain. In practice, this means the software evaluates similarity across many populations and presents a short list of likely populations (often 2–4), rather than declaring a single best-match. This reflects inherent overlap among populations and the uncertainty in morphometric data. It does not rely on genetic data and it does not date the skeleton.

Fordisc uses a multivariate classification approach that compares an individual’s measurements to a database of reference populations and then narrows the field by discarding the weakest matches until only a small number of closest groups remain. In practice, this means the software evaluates similarity across many populations and presents a short list of likely populations (often 2–4), rather than declaring a single best-match. This reflects inherent overlap among populations and the uncertainty in morphometric data. It does not rely on genetic data and it does not date the skeleton.

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