Geographic Data Imperfection 1

Name: Geographic Data Imperfection 1 | From Theory to Applications
Brand: Wiley-Scrivener
Price: 139.99 EUR
Availability: OnlineOnly

From Theory to Applications

Mireille Batton-Hubert Eric Desjardin Francois Pinet(Herausgeber*in)

Wiley-Scrivener (Verlag)

1. Auflage

Erschienen am 16. August 2019

224 Seiten

E-Book

PDF mit Adobe-DRM

Systemvoraussetzungen

978-1-119-64886-4 (ISBN)

139,99 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Adobe-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Inhalt

Cover
Half-Title Page
Title Page
Copyright Page
Contents
Preface
Part 1: Bases and Concepts
1. Imperfection and Geographic Information
1.1. Context
1.2. Concepts, representation, reasoning system, and data processing
1.2.1. Foundations and concepts
1.2.2. Representations of imperfection
1.2.3. Reasoning systems and data processing
1.3. Some conclusive remarks
1.4. References
2. Imperfection of Geographic Information: Concepts and Terminologies
2.1. Introduction
2.2. Semantics according to Humpty Dumpty
2.3. Taxonomies of GI and its related uncertainty
2.4. A theoretical framework of the nature of uncertainty and quality
2.5. Conclusion
2.6. References
3. The Origins of Imperfection in Geographic Data
3.1. Introduction
3.2. Imperfection during the life cycle of geographic data
3.3. The sources of the imperfections in a process
3.3.1. The target model: toward what?
3.3.2. The initial source: from what?
3.3.3. The instrument: with what?
3.3.4. The procedure: how?
3.3.5. The operator: by whom?
3.4. Examples of sources of imperfection in different processes
3.5. Conclusion
3.6. References
4. Integrity and Trust of Geographic Information
4.1. Introduction
4.2. The notions of quality
4.2.1. Data quality and its dimensions
4.2.2. Assessing data quality
4.2.3. Problems linked to data of poor quality
4.3. Internal quality and integrity
4.3.1. The concept of integrity
4.3.2. Analyzing data integrity
4.4. External quality and trust
4.4.1. Definitions of trust
4.4.2. Measuring trust
4.5. Applying these notions to maritime geolocation data
4.5.1. The Automatic Identification System
4.5.2. Integrity and trust issues linked to the AIS
4.5.3. A suitable system for a range of analyses
4.5.4. A suitable system for assessing integrity
4.5.5. A suitable system for measuring trust
4.6. Conclusion
4.7. References
Part 2: Representation
5. Formalisms and Representations of Imperfect Geographic Objects
5.1. Theories about the representation of an imperfect geographic object
5.2. Where and when do we refer to imperfection in geographic information?
5.3. Formalisms
5.3.1. The notion of event
5.3.2. Confidence and certainty (pre-measure and confidence measure)
5.3.3. Non-additive measures and associated distributions
5.3.4. Tools used to manipulate fuzzy measures and sets
5.4. Spatial objects
5.4.1. Broad boundary objects
5.4.2. Fuzzy objects
5.5. Reconsidering the introductory examples
5.6. References
6. Representing Diagrams of Imperfect Geographic Objects
6.1. Introduction
6.2. Describing the theoretical models of geographic objects
6.3. Describing the theoretical models of imperfect geographic objects
6.4. Toward massive databases
6.5. References
Part 3: Reasoning and Treatment
7. Algebraic Reasoning for Uncertain Data
7.1. Introduction
7.2. Algebras used for spatial reasoning
7.2.1. The definition and properties of algebras, relational algebras
7.2.2. Relational algebras used for time and space
7.3. Lattices of relation
7.4. Extending these models to fuzzy regions
7.5. References
8. Reasoning in Modal Logic for Uncertain Data
8.1. Introduction
8.2. Reasoning in first-order predicate calculus
8.3. Reasoning in modal logic
8.4. References
9. Reviewing the Qualifiers of Imperfection in Geographic Information
9.1. Introduction
9.2. Belief revision and update in knowledge engineering
9.3. The limitations faced by GIS when representing a set of beliefs
9.4. Revision in a set of binary beliefs
9.5. The case of uncertain beliefs
9.6. Bayesian probabilistic conditioning
9.7. Revision in evidence theory
9.8. Possibilistic conditioning
9.9. Conclusion
9.10. References
10. The Features of Decision Aid and Analysis Processes in Geography: How to Grasp Complexity, Uncertainty, and Risks?
10.1. The decision-making context
10.2. Geographers, decision-makers, actors, and the territory
10.3. The objects, stakes, and issues involved in a decision
10.4. Information, data, knowledge, uncertainties, and bias
10.5. Supporting the structuring and resolution of ranking, choice, or sorting problems (issues)
10.6. A decision-analysis method for risk analysis and management
10.7. Conclusion
10.8. References
List of Authors
Index
Other titles from iSTE in Information Systems, Web and Pervasive Computing
EULA

Systemvoraussetzungen

Als PDF speichern Als Link merken