Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

ISBN-13: 9781420059274 / Angielski / Twarda / 2009 / 432 str.

Wenzhong Shi

Opis

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.

Spis treści

Overview. Introduction. Sources of Uncertainty in Spatial Data and Spatial Analysis. Mathematical Foundations. Modeling Uncertainties in Spatial Data. Modeling Positional Uncertainty in Spatial Data. Modeling Attribute Uncertainty. Modeling Integrated Positional and Attribute Uncertainty. Modeling Uncertain Topological Relations. Modeling Uncertainties in Spatial Model. Uncertainty in Digital Elevation Models. Modeling Uncertainties in Spatial Analyses. Modeling Positional Uncertainties in Overlay Analysis. Modeling Positional Uncertainty in Buffer Analysis. Modeling Positional Uncertainty in Line Simplification Analysis. Quality Control of Spatial Data. Quality Control for Object-Based GIS Data. Quality Control for Field-Based GIS Data. Improved Interpolation Methods for Digital Elevation Model. Presentation of Data Quality Information. Visualization of Uncertainties in Spatial Data and Analyses. Metadata on Spatial Data Quality. Web Service-Based Spatial Data Quality Information System. Epilog.

O autorze

Wenzhong Shi