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Fund Spatial Data Quality

Fundamentals of Spatial Data Quality

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"Fundamentals of Spatial Data Quality" by Rodolphe Devillers, Robert Jeansoulin is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.

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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Best For: Researchers and professionals involved in producing or using spatial data for decision-making.
Focus: Evaluating, enhancing, documenting, and communicating the quality of vector and raster spatial data.
Covers: Concepts of spatial data quality, methods for quality description and evaluation, use of metadata, and the relationship between data quality and decision-making.
Why It Matters: Understanding spatial data quality helps minimize risks of data misuse and supports informed decisions based on accurate geographic information.

"Fundamentals of Spatial Data Quality" by Rodolphe Devillers, Robert Jeansoulin is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Astronomical Data

Author: Rodolphe Devillers, Robert Jeansoulin

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

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.

AuthorRodolphe Devillers, Robert Jeansoulin
PublisherWiley-ISTE
Published2006-05-05
ISBN-139781905209569
BindingHardcover
LanguageEnglish
SubjectsMathematics
TopicAstronomical Data

Format: Hardcover

Language: English

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