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This book addresses one of the fundamental theoretical issues in GIS: uncertainties in spatial data and analysis. Along with presenting research findings, the text provides methods to control uncertainties in GIS applications. The author discusses his own unique research in modeling positional uncertainty based on probability theory and statisti
Modeling uncertainties in geographic information science is essential to the development of the field. This book addresses the fundamental theoretical issue: uncertainties in spatial data and analysis. It provides methods to control uncertainties in GIS applications. It introduces the area of uncertainty-based spatial mining.
This edited collection covers many of the cutting edge issues related to spatial data quality, including measurement in GIS and geostatistics, the modeling of spatial objects that have inherent uncertainity, and much more.
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