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On the use of indicator simulation for numerical predictions with uncertainty assessment

Carlos Alberto FelgueirasSuzana Druck FuksAntônio Miguel Vieira MonteiroEduardo Celso Gerbi Camargo

Raster representations of thematic and numerical spatial attributes are very common in a GIS environment for computational simulation and analysis of spatial processes. This paper addresses the problem of predictions with uncertainty assessment for GIS raster representations created from a set of sample points of spatial attributes. The realizations of a stochastic simulation inference process, over numerical attribute samples, are used in order to infer the attribute values and related uncertainties at non-sampled spatial locations. A case study, using elevation sample data, is presented to illustrate the concepts used in this work.

http://www.tecgraf.puc-rio.br/geoinfo2000/anais/017.pdf

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