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Predictive Site Location/Evidence
Method evidence record

Predictive Site Location

Predictive site location modeling uses machine learning algorithms (particularly maximum entropy models) to predict the probability of archaeological site occurrence across a landscape based on environmental and spatial variables. Developed for ecology but adapted for archaeology, predictive modeling identifies areas with high archaeological potential, guiding survey strategies and resource management.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Predictive Site Location Modeling
Taxonomic method record · process-pipeline / archaeology
  • Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. · DOI 10.1016/j.ecolmodel.2005.03.026
  • Verhagen, P., & Whitley, T. W. (2012). Predictive modelling for archaeological resource management. Journal of Archaeological Science, 39(5), 1066-1077. · URL
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familySpace Syntaxmachine-suggested · Relational suggestion, not evidence.Same method familyViewshed Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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