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such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary geospatial or remotely sensed data. Quantifying uncertainty and correcting
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evaluate them alongside newly developed approaches. Integrating methods such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary
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of landscape and economy, or focus on cultural anthropology and social archaeology, or apply geostatistical and multivariate methods. During the course, doctoral researchers are required to complete
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