Schlagwort(e):
Earth sciences
;
Geology
;
Statistical methods
;
Mathematical physics
;
Statistics
;
Earth Sciences
;
Quantitative Geology
;
Mathematical Applications in the Physical Sciences
;
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
;
Statistics and Computing/Statistics Programs
;
Applications of Nonlinear Dynamics and Chaos Theory
Beschreibung / Inhaltsverzeichnis:
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.
Seiten:
Online-Ressource (XXVIII, 914 pages)
,
287 illustrations, 185 illustrations in color
ISBN:
9783319789996
URL:
https://link.springer.com/openurl?genre=book&isbn=978-3-319-78999-6
Sprache:
Englisch
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