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This paper describes a series of new qualitative spatial logics for checking consistency of sameAs and partOf matches between spatial objects from different geospatial datasets, especially from crowd-sourced datasets. Since geometries in crowd-sourced data are usually not very accurate or precise, we buffer geometries by a margin of error or a level of tolerance, and define spatial relations for buffered geometries. The spatial logics formalize the notions of 'buffered equal' (intuitivelydoi:10.1613/jair.5140 fatcat:e6k4smuv7rcs3gqqdrgb5fk3ja