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Exploring the relationships between variables is a crucial component in comprehending geographical phenomena. Most existing methods ignore the vagueness hidden in spatial data when quantifying this relation, which may lead to a partial or even wrong understanding of geographical phenomena as vagueness is an intrinsic property of them. This paper uses fuzzy rough sets for quantifying local and overall variable relationships to address this limitation, relying on the consistent degree between variables. This approach uses a sliding window to scan the entire study area and build a local region for each object. The local variable relation is quantified using the local average membership degree to the positive region for each object during the scan. The overall variable relation in the whole study area is quantified using the median value of the local consistent degree between variables in every local region, and …