Handbook of Mathematical Geosciences Fifty Years of IAMG /
This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking research contributions by award-winning geoscientists who have been instrumental in shaping the IAMG. It contains 45 chapters that are categorized broadly into five parts (i) theo...
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| Other Authors: | , , |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-78999-6 |
Table of Contents:
- 1. Forward
- 2. Preface
- 3. Introduction
- 4. Part I. Chapter 1 Kriging, Splines, Conditional Simulation, Bayesian In-version and Ensemble Kalman Filtering
- 5. Chapter 2 A Statistical Commentary on Mineral Prospectivity analysis
- 6. Chapter 3 Testing joint conditional independence of categorical random variables with a standard log-likelihood ratio test
- 7. Chapter 4 Modelling Compositional Data. The Sample Space Approach
- 8. Chapter 5 Properties of Sums of Geological Random Variables
- 9. Chapter 6 A Statistical Analysis of the Jacobian in Retrievals of Satellite Data
- 10. Chapter 7 All Realizations All the Time
- 11. Chapter 8 Binary Coefficients Redux
- 12. Chapter 9 Tracking Plurigaussian Simulations
- 13. Chapter 10 Mathematical Geosciences: Local Singularity Analysis of Nonlinear Earth Processes and Extreme Geo-Events
- 14. Chapter 11 Electrofacies in Reservoir Characterization
- 15. Chapter 12 Forecast of Shoreline Variations by Means of Median Sets
- 16. Chapter 13 An Introduction to the Spatio-Temporal Analysis of Sat-ellite Remote Sensing Data for Geostatisticians
- 17. Chapter 14 Flint drinking water crisis: a first attempt to model geo-statistically the space-time distribution of water lead levels
- 18. Chapter 15 Statistical Parametric Mapping for Geoscience Applications
- 19. Chapter 16 Water chemistry: are new challenges possible from CoDA (Compositional Data Analysis) point of view?
- 20. Chapter 17 Analysis of the United States Portion of the North American Soil Geochemical Landscapes Project – A Compositional Framework Approach
- 21. Chapter 18 Quantifying the Impacts of Uncertainty
- 22. Chapter 19. Advances in Sensitivity Analysis of Uncertainty due to Sampling Density for Spatially Correlated Attributes
- 23. Chapter 20 Predicting Molybdenum Deposit Growth
- 24. Chapter 21 General Framework of Quantitative Target Selections
- 25. Chapter 22 Solving the Wrong Resource Assessment Problems Precisely
- 26. Chapter 23 two ideas for analysis of multivariate geochemical survey data: proximity regression and principal component residuals
- 27. Chapter 24 Mathematical minerals: A history of petrophysical petrography
- 28. Chapter 25 Geostatistics for Seismic Characterization of Oil Reservoirs
- 29. Chapter 26 Statistical Modeling of Regional and Worldwide Size-Frequency Distributions of Metal Deposits
- 30. Chapter 27 Bayesianism in the Geosciences
- 31.Chapter 28 Geological Objects and Physical Parameter Fields in the Subsurface: A Review
- 32.Chapter 29 Fifty Years of Kriging
- 33. Chapter 30 Multiple Point Statistics: A Review
- 34. Chapter 31 When Should We Use Multiple-Point Geostatistics?
- 35. Chapter 32 The Origins of the Multiple-Point Statistics (MPS) Algorithm
- 36. Chapter 33 Predictive Geometallurgy: An Interdisciplinary Key Challenge for Mathematical Geosciences?
- 37. Chapter 34 Data Science for Geoscience: Leveraging Mathematical Geosciences with Semantics and Open Data
- 38. Chapter 35 Mathematical Morphology in Geosciences and GISci: An Illustrative Review
- 39. Chapter 36 IAMG: Recollections from the Early Years
- 40. Chapter 37 Forward and Inverse Models over 70 Years
- 41. Chapter 38 From individual personal contacts 1962–1968 to my 50 years of service
- 42. Chapter 39 Andrey Borisovich Vistelius
- 43. Chapter 40 Fifty Years’ Experience with Hidden Errors in Applying Classic Mathematical Geology
- 44. Chapter 41 Mathematical Geology by Example: Teaching and Learning Perspectives. .