UncertML: an XML schema for exchanging uncertainty

Mathew Williams · Dan Cornford · Lucy Bastin · Ben Ingram

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Geographic Information Systems Studies Data Management and Algorithms Advanced Decision-Making Techniques

Abstract

GIS frameworks which can handle incomplete knowledge in data inputs, in decision rules and in the geometries and attributes modelled. It is particularly important for this uncertainty to be characterised and quantified when GI data is used for spatial decision making. Despite a

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2006Bayesian analysis of computer code outputs: A tutorial 2003The Certainty of Uncertainty: GIS and the Limits of Geographic Knowledge 2001A formal approach to imperfection in geographic information 1992Development of intelligent geographical information systems

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2011Uncertainty and Error 2015Annotating Uncertainty in Geospatial and Environmental Data

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