Table of Contents

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

About the Author

Wenzhong Shi

Reviews

Wenzhong Shi's primary innovation is the integration of positional uncertainty and attribute uncertainty for both data and analysis. He presents case studies using common GIS techniques to demonstrate approaches that describe positional uncertainties in data and also to show how they would affect the results of analysis. His book is a well-organized text, emphasizing the recent literature on positional uncertainty. ... [The book] provides a template for the incorporation of spatial and attribute uncertainty in spatial analysis, and the template could be expanded to techniques more commonly employed by regional scientists. ... This text is an important reference for someone embarking on a research effort in spatial data uncertainty and modeling ...

-Eun-Hye Enki Yoo and Jared Aldstadt, Department of Geography, University at Buffalo, The State University of New York (SUNY), in Journal of Regional Science, Vol. 51, No. 4, 2011