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Spatial data quality

Author: Wenzhong Shi; Peter F Fisher; Michael F Goodchild
Publisher: London ; New York : Taylor & Francis, 2002.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
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,  Read more...
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Document Type: Book
All Authors / Contributors: Wenzhong Shi; Peter F Fisher; Michael F Goodchild
ISBN: 0415258359 9780415258357
OCLC Number: 49822991
Description: xx, 313 pages, [4] pages of plates : illustrations (some color) ; 24 cm
Contents: pt. I. Theoretical Models for Uncertain GIS / Michael F. Goodchild. 1. Measurement-based GIS / Michael F. Goodchild. 2. GIS and Geostatistics for Environmental Modelling / Peter A. Burrough. 3. Hierarchical Topological Reasoning with Vague Regions / Stephan Winter and Thomas Bittner. 4. Topological Relationships between Spatial Objects with Uncertainty / Wenzhong Shi and Wei Guo. 5. Error-aware GIS Development / Matt Duckham and John E. McCreadie. 6. A Theory for Communicating Uncertainty in Spatial Databases / Karin Reinke and Gary J. Hunter --
pt. II. Methods for Handling Spatial Data Quality / Wenzhong Shi. 7. Statistical Quality Control of Geodata / Wilhelm Caspary and Gerhard Joos.
Responsibility: edited by Wenzhong Shi, Peter F. Fisher, Michael F. Goodchild.
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Abstract:

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.

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