Quality Aspects in Spatial Data Mining
eBook - PDF

Quality Aspects in Spatial Data Mining

  1. 374 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Quality Aspects in Spatial Data Mining

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.

Information

Publisher
CRC Press
Year
2016
eBook ISBN
9781420069273
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Contents
  3. Foreword
  4. Contributing Authors
  5. Introduction
  6. Section I. Systems Approaches to Spatial Data Quality
  7. Chapter 1. Querying Vague Spatial Objects in Databases with VASA
  8. Chapter 2. Assessing the Quality of Data with a Decision Model
  9. Chapter 3. Semantic Reference Systems Accounting for Uncertainty
  10. Chapter 4. Elements of Semantic Mapping Quality
  11. Chapter 5. A Multicriteria Fusion Approach for Geographical Data Matching
  12. Section II. Geostatistics and Spatial Data Quality for DEMs
  13. Chapter 6. A Preliminary Study on Spatial Sampling for Topographic Data
  14. Chapter 7. Predictive Risk Mapping of Water Table Depths in a Brazilian Cerrado Area
  15. Chapter 8. Modeling Data Quality with Possibility Distributions
  16. Chapter 9. Kriging and Fuzzy Approaches for DEM
  17. Section III. Error Propagation
  18. Chapter 10. Propagation of Positional Measurement Errors to Field Operations
  19. Chapter 11. Error Propagation Analysis Techniques Applied to Precision Agriculture and Environmental Models
  20. Chapter 12. Aspects of Error Propagation in Modern Geodetic Networks
  21. Chapter 13. Analysis of the Quality of Collection 4 and 5 Vegetation Index Time Series from MODIS
  22. Chapter 14. Modeling DEM Data Uncertainties for Monte Carlo Simulations of Ice Sheet Models
  23. Section IV. Applications
  24. Chapter 15. Geostatistical Texture Classification of Tropical Rainforest in Indonesia
  25. Chapter 16. Quality Assessment for Polygon Generalization
  26. Chapter 17. Effectiveness of High-Resolution LIDAR DSM for Two-Dimensional Hydrodynamic Flood Modeling in an Urban Area
  27. Chapter 18. Uncertainty, Vagueness, and Indiscernibility
  28. Chapter 19. A Quality-Aware Approach for the Early Steps of the Integration of Environmental Systems
  29. Chapter 20. Analyzing and Aggregating Visitor Tracks in a Protected Area
  30. Section V. Communication
  31. Chapter 21. What Communicates Quality to the Spatial Data Consumer?
  32. Chapter 22. Judging and Visualizing the Quality of Spatio-Temporal Data on the Kakamega-Nandi Forest Area in West Kenya
  33. Chapter 23. A Study on the Impact of Scale-Dependent Factors on the Classification of Landcover Maps
  34. Chapter 24. Formal Languages for Expressing Spatial Data Constraints and Implications for Reporting of Quality Metadata
  35. Epilogue
  36. Back Cover