Abstract
AbstractMany types of regions, even administrative regions, have boundaries that are partially or inconsistently defined, especially in historical GIS applications. Such a region may have a mix of clearly defined boundaries, vague references, uncertain locations, and gaps with no definition at all. These types of boundary definitions can be represented in a Qualified Assertion database that faithfully represents source materials. Using a hypothesis of how humans reason in these situations, an algorithm has been developed to estimate the extent of a queried region from these piecemeal boundaries, visually representing vagueness and uncertainty. This estimation is performed at query time, rather than being stored in the database. This region estimation algorithm is implemented in a web service that maps the extent of historical religious congregations that exhibit a wide variety of uncertainty and vagueness in their jurisdictional boundaries.
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