Geostatistical Simulation Models and Algorithms
Within the geoscience community the estimation of natural resources is a challenging topic. The difficulties are threefold: Intitially, the design of appropriate models to take account of the complexity of the variables of interest and their interactions. This book discusses a wide range of spatial...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2002, 2002
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| Edition: | 1st ed. 2002 |
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| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Investigating stochastic models
- 3. Variographic tools
- 4. The integral range
- 5. Basic morphological concepts
- 6. Stereology: some basic notions
- 7. Basics about simulations
- 8. Iterative algorithms for simulation
- 9. Rate of convergence of iterative algorithms
- 10. Exact simulations
- 11. Point processes
- 12. Tessellations
- 13. Boolean model
- 14. Object based models
- 15. Gaussian random function
- 16. Gaussian variations
- 17. Substitution random functions