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Encyclopedia of Mathematical Geosciences / / edited by B. S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg
| Encyclopedia of Mathematical Geosciences / / edited by B. S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (555 illus., 344 illus. in color. eReference.) |
| Disciplina | 550 |
| Collana | Encyclopedia of Earth Sciences Series |
| Soggetto topico |
Earth sciences
Mathematics Geographic information systems Statistics Mathematical statistics - Data processing Earth Sciences Applications of Mathematics Geographical Information System Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing |
| ISBN | 3-030-85040-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910734879003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Encyclopedia of Mathematical Geosciences [[electronic resource] /] / edited by B.S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg
| Encyclopedia of Mathematical Geosciences [[electronic resource] /] / edited by B.S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Disciplina | 553 |
| Collana | Encyclopedia of Earth Sciences Series |
| Soggetto topico |
Geology—Statistical methods
Mathematical physics Remote sensing Statistics Quantitative Geology Mathematical Applications in the Physical Sciences Remote Sensing/Photogrammetry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing/Statistics Programs |
| ISBN | 3-030-26050-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Bigdata -- Chaos and Singularity Analysis in Geosciences -- Compositional Data Analysis -- Computational Geosciences -- Digital Image Processing and Analysis -- Fractals and Multifractals -- Fuzzy and Rough Set Theory in Geosciences -- Geographical Information Science -- Geomathematics -- Geostatistics -- Inversion Theory -- Kriging -- Machine Learning and Geosciences -- Mathematical Morphology -- Mathematical Petrology -- Morphometry and Hypsometry -- Multiple Point Statistics -- Neural Networks -- Signal Processing and Analysis -- Spatial Data Sciences -- Spatial Statistics -- Stochastic -- Wavelets in Geosciences. |
| Record Nr. | UNINA-9910426056103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of Mathematical Geosciences [[electronic resource] ] : Fifty Years of IAMG / / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg
| Handbook of Mathematical Geosciences [[electronic resource] ] : Fifty Years of IAMG / / edited by B.S. Daya Sagar, Qiuming Cheng, Frits Agterberg |
| Autore | Daya Sagar B.S |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2018 |
| Descrizione fisica | 1 online resource (XXVIII, 914 p. 287 illus., 185 illus. in color.) |
| Disciplina | 553 |
| Soggetto topico |
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 |
| Soggetto non controllato |
Earth sciences
Geology—Statistical methods Mathematical physics Statistics Statistical physics |
| ISBN | 3-319-78999-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. . |
| Record Nr. | UNINA-9910299389603321 |
Daya Sagar B.S
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| Cham, : Springer Nature, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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