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Fundamentals of Spatial Data Quality
Devillers
€ 179.63
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Description for Fundamentals of Spatial Data Quality
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. Editor(s): Devillers, Rodolphe; Jeansoulin, Robert. Series: Geographical Information Systems. Num Pages: 310 pages, Illustrations, maps. BIC Classification: RGW. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 21. Weight in Grams: 588.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2006
Publisher
ISTE United Kingdom
Number of pages
310
Condition
New
Series
Geographical Information Systems
Number of Pages
309
Place of Publication
London, United Kingdom
ISBN
9781905209569
SKU
V9781905209569
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Devillers
Rodolphe Devillers, Geography Department of Memorial University of Newfoundland, Canada Robert Jeansoulin, Center of Mathematics and Computer Sciences of University of Provence, France
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