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.
Imperfect information management in GIS: A logical-mathematical approach
Masserotti M V;Renso C
2004
Abstract
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.File in questo prodotto:
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