Representing Uncertainty in Visual Integration

Multiple cartographic providers propose services displaying points of interests (POI) on maps. However, the provided POIs are often incomplete and contradictory from one provider to another. Previous works proposed solutions for detecting correspondences between spatial entities that refer to the same geographic object. Although one can visualize the result of the integration of corresponding entities, users do not have any information about the quality of this integration. In this paper, we propose a solution to visualize the uncertainty inherent to a spatial integration algorithm. We present an integration process that identifies three degrees of confidence for spatial and terminological integration results. A prototype has been implemented to present the benefits of our proposal in an usecase scenario. This work has been realized within the framework of UNIMAP project.