Fundamentals of Spatial Data Quality (Hardcover)

Rodolphe Devillers

ISBN 10: 1905209568 / ISBN 13: 9781905209569

Edité par ISTE Ltd and John Wiley & Sons Inc, London, 2006

A propos de cet article

Hardcover. This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision-making process. Also included is a Foreword written by Professor Michael F. Goodchild. This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781905209569

Détails bibliographiques

Titre : Fundamentals of Spatial Data Quality (...

Éditeur : ISTE Ltd and John Wiley & Sons Inc, London

Date d'édition : 2006

Reliure : Hardcover

Etat : new

Edition : Edition originale

A propos de ce titre

Synopsis :

Fundamentals of Spatial Data Quality This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Full description

Présentation de l'éditeur:

This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision–making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision–making process. Also included is a Foreword written by Professor Michael F. Goodchild.