Abstract

When archaeological predictive models (APM) are evaluated, the most common form of validation is through field testing. But how do we evaluate whether a model is sufficiently robust that it merits field testing? This paper proposes a series of statistical tests to validate models for field testing. It discusses the methodology for those tests and the rationale for their use. Finally, it proposes minimum standards for results in these tests for accepting a model as fit for field testing.