Devillers R., Goodchild H. (Eds.) Spatial Data Quality: From Process to Decisions

CRC Press, 2010. — 216 p. — ISBN: 1439810125, 9781439810125Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce, distribute, and use geospatial data.
Focusing on users and decisions as well as the data, Spatial Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) - from the assessment of data accuracy to legal aspects relating to the quality of geographic information - this reference reflects the changes in practice in response to the rapid technological developments over the past decade.
An impressive panel of internationally recognized expert contributors focuses on the relationship between the quality of geographic data and the quality of decisions based on such data. Structured for easy reference, the first section of the book discusses conceptual approaches to SDQ, the second presents a number of applications of spatial data quality methods, the third looks at SDQ issues for remote sensing data, and the final section presents papers that consider the interface between the law and SDQ.
In addition to the main chapters presented in each section, a number of shorter notes present on-going and recent research projects investigating various aspects of spatial data quality.Contents
Conceptual Approaches to Spatial Data Quality
What’s in a Name? Semantics, Standards and Data Quality
Scale Is Introduced in Spatial Datasets by Observation Processes
Towards a Quantitative Evaluation of Geospatial Metadata Quality in the Context of Semantic Interoperability
Characterizing and Comparing GIS Polygon Shape Complexity by Iterative Shrinking Spectra
Projective Spray Can Geometry – An Axiomatic Approach to Error Modelling for Vector Based Geographic Information Systems
Short Notes: Qualitative Topological Relationships for Objects with Possibly Vague Shapes: Implications on the Specification of Topological Integrity Constraints
A Framework for the Identification of Integrity Constraints in Spatial Datacubes
Applications
3D Building Generalization under Ground Plan Preserving Quality Constraints
Assessing Geometric Uncertainty in GIS Analysis Using Artificial Neural Networks
Neural Network Based Cellular Automata Calibration Model for the Simulation of a Complex Metropolis
Accuracy Assessment in an Urban Expansion Model
Deciding on the Detail of Soil Survey in Estimating Crop Yield Reduction Due to Groundwater Withdrawal
Short Notes: A New Method for Integrating Data of Variable Quality into 3-Dimensional Subsurface Models
Accuracy Measurement for Area Features in Land Use Inventory
Granular Computing Model for Solving Uncertain Classification Problems of Seismic Vulnerability
Spatial Variability of Errors in Urban Expansion Model: Implications for Error Propagation
Imagery
A Stereological Estimator for the Area of Flooded Land from Remote Sensing Images
Assessing Digital Surface Models by Verifying Shadows: A Sensor Network Approach
Evaluation of Remote Sensing Image Classifiers with Uncertainty Measures
Short notes: Analyzing the Effect of the Modifiable Areal Unit Problem in Remote Sensing
Analyzing the Effect of Different Aggregation Approaches on Remotely Sensed Data
Use of an Airborne Imaging Spectrometer as a Transfer Standard for Atmospheric Correction of SPOT-HRG Data
Legal Aspects
Liability for Spatial Data Quality
An Example for a Comprehensive Quality Description - The Area in the Austrian Cadastre
Data Protection, Privacy and Spatial Data
Short Note: Harmful Information: Negligence Liability for Incorrect Information