Securing Sensitive Data: A Synthetic Data Framework for Protecting Geographic Coordinates
High‐resolution spatial data are critical for environmental and epidemiological research yet present significant privacy risks when released at the individual level. Traditional protection methods, such as aggregation or masking, often compromise data utility or introduce unrealistic spatial patterns. We propose a ro...