Handbook of Mathematical Geosciences : Fifty Years of IAMG / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg.

Format:

Book

Contributor:

Daya Sagar, B. S., Editor.

Cheng, Qiuming, Editor.

Agterberg, Frits., Editor.

Language:

English

Subjects (All):

Geology—Statistical methods.

Mathematical physics.

Statistics.

Statistical physics.

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.

Local Subjects:

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.

Physical Description:

1 online resource (XXVIII, 914 p. 287 illus., 185 illus. in color.)

Edition:

1st ed. 2018.

Place of Publication:

Cham Springer Nature 2018

Cham : Springer International Publishing : Imprint: Springer, 2018.

Language Note:

English

Summary:

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) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.

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. .

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783319789996

3319789996

OCLC:

1043913114