Archaeological Predictive modelling is a tool that predicts the location of archaeological sites and materials in a region, based on the observed pattern in a sample data or on assumptions about human behavior. This project examines the combination of variables to produce a model with high predictability and the application of inductive predictive modelling method in locating areas of high archaeological potential in Prince George using Binary Logistic Regression. Results from the analysis have shown that terrain variables: slope, ruggedness, elevation, solar incidence and proximity to water, jointly explains the predictive model and that the model successfully predicts areas of high and low potentials in Prince George municipal. The results from the Kvamme’s gain statistic shows that the predictive model is moderately efficient. The study recommends that by incorporating more terrain variables, the model performance will be higher and probably be more efficient.
