  How many crimes occurred in the city center? And exactly which part of town
is the 'city center'? While location is at the heart of many data questions,
geographic location can be difficult to specify in natural language (NL)
queries. This is especially true when working with fuzzy cognitive regions or
regions that may be defined based on data distributions instead of absolute
administrative location (e.g., state, country). GeoSneakPique presents a novel
method for using a mapping widget to support the NL query process, allowing
users to specify location via direct manipulation with data-driven guidance on
spatial distributions to help select the area of interest. Users receive
feedback to help them evaluate and refine their spatial selection interactively
and can save spatial definitions for re-use in subsequent queries. We conduct a
qualitative evaluation of the GeoSneakPique that indicates the usefulness of
the interface as well as opportunities for better supporting geospatial
workflows in visual analysis tasks employing cognitive regions.
