Spatial Data Quality

✍ Scribed by Wenzhong Shi, Peter Fisher, Michael F. Goodchild

• Publisher: CRC Press
• Year: 2002
• Tongue: English
• Leaves: 354
• Edition: 1
• Category: Library

✦ Synopsis

As research in the geosciences and social sciences becomes increasingly dependent on computers, applications such as geographical information systems are becoming indispensable tools. But the digital representations of phenomena that these systems require are often of poor quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an essential research topic within geographical information science.This book covers many of the cutting-edge research issues related to spatial data quality, including measurement in GIS and geostatistics, the modeling of spatial objects that have inherent uncertainty, spatial data quality control, quality management, communicating uncertainty and resolution, reasoning and decision-making, visualization of uncertainty and error metadata. Spatial Data Quality will be of interest to anyone undertaking research using GIS and related technologies.

✦ Table of Contents

BookCover......Page 1
Half-Title......Page 2
Title......Page 4
Copyright......Page 5
Contents......Page 6
Contributors......Page 8
Preface......Page 17
Acknowledgements......Page 21
Introduction to Part I: Theoretical models for uncertain GIS......Page 23
1 Measurement-based GIS......Page 27
2 GIS and Geostatistics for Environmental modelling......Page 40
3 Hierarchical Topological Reasoning with vague regions......Page 57
4 Topological Relationships between Spatial objects with uncertainty......Page 73
5 Error-aware GIS Development......Page 86
6 A Theory for Communicating Uncertainty in Spatial databases......Page 100
Introduction to Part II: Methods for handling spatial data quality......Page 126
7 Statistical Quality Control of Geodata......Page 130
8 Data Quality: A Model for Resolvable Objects......Page 141
9 A Practical Study on Precision and Resolution in Vector geographical databases......Page 152
10 Visualisation of Uncertainty in Geographical data......Page 166
11 Uncertainty in Polygon Filling Using Particle system model......Page 186
12 A Policy-Maker Point of View on Uncertainties in spatial decisions......Page 195
13 The Registration of Quality in a GIS......Page 221
Introduction to Part III: Applications studies concerning data quality......Page 234
14 Quality Management, Data Quality and Users, metadata for geographical information......Page 236
15 Data Quality and Quality Management......Page 250
16 A GIS with the Capacity for Managing Data quality information......Page 265
17 Error Metadata Management System......Page 286
18 Maintaining Spatial Relativity of Utilities after DCDB upgrade......Page 303
19 Spatial-thematic Accuracy and Domestic burglary in the safer Cities......Page 312
20 Monte Carlo Simulation of Long-term Spatial error propagation in forestry databases......Page 331
Epilog: A Prospective on Spatial Data quality......Page 342
Index......Page 350