ABSTRACT

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

chapter 1|13 pages

Measurement-based GIS

ByMichael F. Goodchild

chapter 2|17 pages

GIS and Geostatistics for Environmental modelling

ByPeter A. Burrough

chapter 3|16 pages

Hierarchical Topological Reasoning with vague regions

ByStephan Winter, Thomas Bittner

chapter 4|13 pages

Topological Relationships between Spatial objects with uncertainty

ByWenzhong Shi, Wei Guo

chapter 5|14 pages

Error-aware GIS Development

ByMatt Duckham, John E. McCreadie

chapter 6|26 pages

A Theory for Communicating Uncertainty in Spatial databases

ByKarin Reinke, Gary J. Hunter

chapter 7|11 pages

Statistical Quality Control of Geodata

ByWilhelm Caspary, Gerhard Joos

chapter 8|11 pages

Data Quality: A Model for Resolvable Objects

ByThomas K. Windholz, Kate M. Beard, Michael F. Goodchild

chapter 11|9 pages

Uncertainty in Polygon Filling Using Particle system model

ByTinghua Ai, Zhongliang Cai

chapter 12|26 pages

A Policy-Maker Point of View on Uncertainties in spatial decisions

ByBernard Cornélis, Sébastien Brunet

chapter 13|13 pages

The Registration of Quality in a GIS

chapter 15|15 pages

Data Quality and Quality Management

chapter 16|21 pages

A GIS with the Capacity for Managing Data quality information

ByJibo Qiu, Gary J. Hunter

chapter 17|17 pages

Error Metadata Management System

ByErnesto Gan, Wenzhong Shi

chapter 18|9 pages

Maintaining Spatial Relativity of Utilities after DCDB upgrade

ByRoger Merritt, Ewan Masters