جنبه های کیفی در داده کاوی فضایی ۲۰۱۶
Quality Aspects in Spatial Data Mining 2016

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