Fundamentals of Spatial Data Quality (Hardcover)

Rodolphe Devillers

ISBN 10: 1905209568 / ISBN 13: 9781905209569

Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2006

Beschreibung

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. Bestandsnummer des Verkäufers 9781905209569

Bibliografische Details

Titel: Fundamentals of Spatial Data Quality (...

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

Erscheinungsdatum: 2006

Einband: Hardcover

Zustand: new

Auflage: 1. Auflage

Über diesen Titel

Inhaltsangabe:

Páginas:310Géneros:12:RG:Geography12:UNA:Databasedesign&theorySinopsis:

Reseña del editor:

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.