Imperfect information management in GIS: A logical-mathematical approach

We survey the relevance of the maximum entropy inference process to the management of uncertainty in Geographic Information Systems. We show how the former constitutes a theoretically well-founded solution to problems that arise naturally in GIS facing imperfect information. We also put forward how, as a consequence of the encouraging developments on computational techniques for reasoning under maximum entropy, the latter must be considered as a most crucial approach to uncertainty management in various fields of GIS science.