Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

Modeling uncertainties in geographic information science is essential to the development of the field. This book addresses one of the fundamental theoretical issues: uncertainties in spatial data and analysis. Along with the latest research findings, the text provides methods to control uncertainties in GIS applications.  The author contributes his own unique research in modeling positional uncertainty based on probability theory and statistics. New areas, such as uncertainty-based spatial mining, are introduced providing a new prospective on the theory and applications of GIS. Researchers, students, and professionals working in GIS can benefit from the insightful presentation of new ideas.