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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.
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