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Elements of Spatial Data Quality

  • 1 Edición - 8 de noviembre de 1995
  • Última edición
  • Editores: S.C. Guptill, J.L. Morrison
  • Idioma: Inglés

Elements of Spatial Data Quality outlines the need and suggests potential categories for the content of a comprehensive statement of data quality that must be imbedded in the me… Leer más

Descripción

Elements of Spatial Data Quality outlines the need and suggests potential categories for the content of a comprehensive statement of data quality that must be imbedded in the metadata that accompanies the transfer of a digital spatial data file or is available in a separate metadata catalog. Members of the International Cartographic Association's Commission on Spatial Data Quality have identified seven elements of data quality: positional accuracy, attribute accuracy, completeness, logical consistency, lineage, semantic accuracy and temporal information. In the book the authors describe: components of each data quality element, possible metrics that can be used to measure the quality of each criteria, possible testing and rating schemes, and how these parameters might differ from a producer or user point of view. Finally no volume of this nature would be complete without a chapter devoted to necessary future research in this subject area. The chapter points out areas in need of further investigation and speculates about the use and transfer of digital spatial data in tomorrow's electronic world and at developments in presenting specified data quality information in a visualization. This book will be of interest to all of those individuals involved in geographical information systems and spatial data handling.

De interès para

For all involved with geographic information systems and digital spatial data collection.

Índice

Foreword. Preface. List of contributors. Spatial data quality (J.L. Morrison). Lineage (D.G. Clark, D.M. Clark). Positional accuracy (J.E. Drummond). Attribute accuracy (M.F. Goodchild). Completeness (K. Brassel et al.). Logical consistency (W. Kainz). Semantic accuracy (F. Salgé). Temporal information (S.C. Guptill). An evaluation matrix for geographical data quality (H. Veregin, P. Hargitai). Looking ahead (S.C. Guptill, J.L. Morrison).

36 illus., 25 line drawings, 203 lit. refs.

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 8 de noviembre de 1995
  • Idioma: Inglés

Sobre los editores

SG

S.C. Guptill

Afiliaciones y experiencia
Scientific Advisor, US Geological Survey, Reston, VA 22092, USA

JM

J.L. Morrison

Afiliaciones y experiencia
Chief, Geography Division, US Bureau of the Census, Washington DC 20233, USA

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