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Fundamentals of Spatial Data Quality.

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 perspec...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Devillers, Rodolphe
Otros Autores: Jeansoulin, Robert, Goodchild, Michael F.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : John Wiley & Sons, 2010.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Fundamentals of Spatial Data Quality. 
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505 0 |a Fundamentals of Spatial Data Quality; Table of Contents; Foreword; Introduction; PART 1. Quality and Uncertainty: Introduction to the Problem; Chapter 1. Development in the Treatment of Spatial Data Quality; 1.1. Introduction; 1.2. In the beginning; 1.3. Changing the scene; 1.3.1. Accuracy beyond position; 1.3.2. Topology and logical consistency; 1.3.3. Fitness for use; 1.4. Elements of novelty; 1.5. References; Chapter 2. Spatial Data Quality: Concepts; 2.1. Introduction; 2.2. Sources and types of errors; 2.3. Definitions of the concept of quality; 2.3.1. Internal quality. 
505 8 |a 2.3.2. External quality2.4. Conclusion; 2.5. References; Chapter 3. Approaches to Uncertainty in Spatial Data; 3.1. Introduction; 3.2. The problem of definition; 3.2.1. Examples of well-defined geographical objects; 3.2.2. Examples of poorly defined geographical objects; 3.3. Error; 3.4. Vagueness; 3.5. Ambiguity; 3.5.1. Discord; 3.5.2. Non-specificity; 3.6. Data quality; 3.7. Precision; 3.8. Conclusion: uncertainty in practice; 3.9. References; PART 2. Academic Case Studies: Raster, Chloropleth and Land Use; Chapter 4. Quality of Raster Data; 4.1. Introduction; 4.2. Geometry quality. 
505 8 |a 4.2.1. Image reference system and modeling of the viewing geometry4.2.1.1. Image reference system in matrix representation; 4.2.1.2. Direct and inverse localization; 4.2.1.3. Geometric transforms of images; 4.2.1.4. Acquisition models; 4.2.2. Definitions; 4.2.2.1. Georeferenced image; 4.2.2.2. Geocoded image; 4.2.2.3. Orthorectified image; 4.2.2.4. Check points; 4.2.2.5. Tie points; 4.2.2.6. Localization error; 4.2.2.7. Mean quadratic error; 4.2.2.8. Error vector field; 4.2.2.9. Native projection of a map; 4.2.3. Some geometry defects; 4.2.3.1. Absolute localization defect. 
505 8 |a 4.2.3.2. Global defects of internal geometry4.2.3.3. Local defects of internal geometry; 4.2.4. Localization control and global models; 4.2.5. Internal geometry control; 4.3. Radiometry quality; 4.3.1. Radiometry quantities; 4.3.2. Overview of the radiometric defects; 4.3.2.1. Diffraction and defocalization; 4.3.2.2. Polarization of the instrument; 4.3.2.3. Stray light; 4.3.2.4. Aerial photos; 4.3.3. Calibration of the radiometric data; 4.3.3.1. Radiometric calibration; 4.3.3.2. Spectral calibration; 4.3.4. Atmospheric correction; 4.4. References. 
505 8 |a Chapter 5. Understanding the Nature and Magnitude of Uncertainty in Geopolitical and Interpretive Choropleth Maps5.1. Introduction; 5.2. Uncertainty in geopolitical maps; 5.2.1. Locational uncertainty in geopolitical maps; 5.2.2. Attribute uncertainty in geopolitical maps; 5.3. Uncertainty in interpretive maps; 5.3.1. Construction of interpretive polygonal maps; 5.3.2. Uncertainty in boundaries of interpretive polygonal maps; 5.3.3. Uncertainty in attributes of interpretive polygonal maps; 5.4. Interpretive map case studies; 5.5. Conclusion; 5.6. References. 
500 |a Chapter 6. The Impact of Positional Accuracy on the Computation of Cost Functions. 
520 |a 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. 
588 0 |a Print version record. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Geographic information systems  |x Data processing  |x Quality control. 
650 0 |a Geographic information systems  |x Data processing. 
650 0 |a Geographic information systems. 
650 2 |a Geographic Information Systems 
650 6 |a Systèmes d'information géographique  |x Informatique  |x Qualité  |x Contrôle. 
650 6 |a Systèmes d'information géographique  |x Informatique. 
650 6 |a Systèmes d'information géographique. 
650 7 |a geographic information systems.  |2 aat 
650 7 |a Geographic information systems  |2 fast 
650 7 |a Geographic information systems  |x Data processing  |2 fast 
700 1 |a Jeansoulin, Robert. 
700 1 |a Goodchild, Michael F. 
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776 0 8 |i Print version:  |a Devillers, Rodolphe.  |t Fundamentals of Spatial Data Quality.  |d Hoboken : John Wiley & Sons, ©2010  |z 9781905209569 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=700757  |z Texto completo 
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