Spatial Data Quality

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. 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 As research in the geosciences and social sciences becomes increasingly dependent on computers, geographical information systems are becoming indispensable tools. 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.--Publisher's description Measurement GIS and Geostatistics. Model Spatial Objects with Uncertainty. Spatial Data Quality Control .Quality Management. Communicating Uncertainty and Resolution. Reasoning and Decision Making. Visualization of Uncertainty. Error Metadata GIS designs have evolved over the past 30 years, and once adopted a design tends to persist as a legacy despite progress in fundamental research.