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- 374 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Quality Aspects in Spatial Data Mining
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About This Book
Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data QualitySubstantial progress has been made toward developing effective techniques for spatial information processing in recent years. This science deals with models of reality in a GIS, however, and not with reality itself. Therefore, spatial information processes are often impre
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Yes, you can access Quality Aspects in Spatial Data Mining by Alfred Stein, Wenzhong Shi, Wietske Bijker in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front Cover
- Contents
- Foreword
- Contributing Authors
- Introduction
- Section I. Systems Approaches to Spatial Data Quality
- Chapter 1. Querying Vague Spatial Objects in Databases with VASA
- Chapter 2. Assessing the Quality of Data with a Decision Model
- Chapter 3. Semantic Reference Systems Accounting for Uncertainty
- Chapter 4. Elements of Semantic Mapping Quality
- Chapter 5. A Multicriteria Fusion Approach for Geographical Data Matching
- Section II. Geostatistics and Spatial Data Quality for DEMs
- Chapter 6. A Preliminary Study on Spatial Sampling for Topographic Data
- Chapter 7. Predictive Risk Mapping of Water Table Depths in a Brazilian Cerrado Area
- Chapter 8. Modeling Data Quality with Possibility Distributions
- Chapter 9. Kriging and Fuzzy Approaches for DEM
- Section III. Error Propagation
- Chapter 10. Propagation of Positional Measurement Errors to Field Operations
- Chapter 11. Error Propagation Analysis Techniques Applied to Precision Agriculture and Environmental Models
- Chapter 12. Aspects of Error Propagation in Modern Geodetic Networks
- Chapter 13. Analysis of the Quality of Collection 4 and 5 Vegetation Index Time Series from MODIS
- Chapter 14. Modeling DEM Data Uncertainties for Monte Carlo Simulations of Ice Sheet Models
- Section IV. Applications
- Chapter 15. Geostatistical Texture Classification of Tropical Rainforest in Indonesia
- Chapter 16. Quality Assessment for Polygon Generalization
- Chapter 17. Effectiveness of High-Resolution LIDAR DSM for Two-Dimensional Hydrodynamic Flood Modeling in an Urban Area
- Chapter 18. Uncertainty, Vagueness, and Indiscernibility
- Chapter 19. A Quality-Aware Approach for the Early Steps of the Integration of Environmental Systems
- Chapter 20. Analyzing and Aggregating Visitor Tracks in a Protected Area
- Section V. Communication
- Chapter 21. What Communicates Quality to the Spatial Data Consumer?
- Chapter 22. Judging and Visualizing the Quality of Spatio-Temporal Data on the Kakamega-Nandi Forest Area in West Kenya
- Chapter 23. A Study on the Impact of Scale-Dependent Factors on the Classification of Landcover Maps
- Chapter 24. Formal Languages for Expressing Spatial Data Constraints and Implications for Reporting of Quality Metadata
- Epilogue
- Back Cover