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Spatial Data Quality

Autor Wenzhong Shi, Peter Fisher, Michael F. Goodchild
en Limba Engleză Hardback – 5 sep 2002
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.
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Specificații

ISBN-13: 9780415258357
ISBN-10: 0415258359
Pagini: 340
Dimensiuni: 152 x 229 x 20 mm
Greutate: 0.68 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Academic and Professional Practice & Development

Cuprins

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.

Notă biografică

Shi, Wenzhong; Fisher, Peter; Goodchild, Michael F.

Descriere

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.