Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses (eBook, PDF)
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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 statistics. He introduces novel areas, such as uncertainty-based spatial mining, to provide a new prospective on the theory and applications of GIS. Researchers, students, and professionals working in GIS can benefit from this insightful presentation of new ide...
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 statistics. He introduces novel areas, such as uncertainty-based spatial mining, to provide a new prospective on the theory and applications of GIS. Researchers, students, and professionals working in GIS can benefit from this insightful presentation of new ideas.
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