Geostatistical Simulation: Models and Algorithms
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2002
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 models, including random sets and functions, point processes and object populations. Secondly,the construction of algorithms which reproduce the variability inherent in the models. Finally, the conditioning of the simulations for the data, which can considerably reduce their variability. Besides the classical algorithm for gaussian random functions, specific algorithms based on markovian iterations are presented for conditioning a wide range of spatial models (boolean model, Voronoi tesselation, substitution random function etc.) This volume is the result of a series of courses given in the USA and Latin America to civil, mining and petroleum engineers, as well as to gradute students is statistics. It is the first book to discuss geostatistical simulation techniques in such a systematic way |
| Beschreibung: | 1 Online-Ressource (XIII, 256 p) |
| ISBN: | 9783662048085 9783642075827 |
| DOI: | 10.1007/978-3-662-04808-5 |
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Datensatz im Suchindex
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| author | Lantuéjoul, Christian |
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| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-662-04808-5 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-12-06T09:04:01Z |
| institution | BVB |
| isbn | 9783662048085 9783642075827 |
| language | English |
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| physical | 1 Online-Ressource (XIII, 256 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
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| spelling | Lantuéjoul, Christian Verfasser aut Geostatistical Simulation Models and Algorithms by Christian Lantuéjoul Berlin, Heidelberg Springer Berlin Heidelberg 2002 1 Online-Ressource (XIII, 256 p) txt rdacontent c rdamedia cr rdacarrier 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 models, including random sets and functions, point processes and object populations. Secondly,the construction of algorithms which reproduce the variability inherent in the models. Finally, the conditioning of the simulations for the data, which can considerably reduce their variability. Besides the classical algorithm for gaussian random functions, specific algorithms based on markovian iterations are presented for conditioning a wide range of spatial models (boolean model, Voronoi tesselation, substitution random function etc.) This volume is the result of a series of courses given in the USA and Latin America to civil, mining and petroleum engineers, as well as to gradute students is statistics. It is the first book to discuss geostatistical simulation techniques in such a systematic way Statistics Physical geography Mines and mineral resources Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Environmental Monitoring/Analysis Mineral Resources Geophysics/Geodesy Statistik Simulation (DE-588)4055072-2 gnd rswk-swf Geostatistik (DE-588)4020279-3 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Geostatistik (DE-588)4020279-3 s Simulation (DE-588)4055072-2 s 1\p DE-604 Statistisches Modell (DE-588)4121722-6 s 2\p DE-604 https://doi.org/10.1007/978-3-662-04808-5 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Lantuéjoul, Christian Geostatistical Simulation Models and Algorithms Statistics Physical geography Mines and mineral resources Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Environmental Monitoring/Analysis Mineral Resources Geophysics/Geodesy Statistik Simulation (DE-588)4055072-2 gnd Geostatistik (DE-588)4020279-3 gnd Statistisches Modell (DE-588)4121722-6 gnd |
| subject_GND | (DE-588)4055072-2 (DE-588)4020279-3 (DE-588)4121722-6 |
| title | Geostatistical Simulation Models and Algorithms |
| title_auth | Geostatistical Simulation Models and Algorithms |
| title_exact_search | Geostatistical Simulation Models and Algorithms |
| title_full | Geostatistical Simulation Models and Algorithms by Christian Lantuéjoul |
| title_fullStr | Geostatistical Simulation Models and Algorithms by Christian Lantuéjoul |
| title_full_unstemmed | Geostatistical Simulation Models and Algorithms by Christian Lantuéjoul |
| title_short | Geostatistical Simulation |
| title_sort | geostatistical simulation models and algorithms |
| title_sub | Models and Algorithms |
| topic | Statistics Physical geography Mines and mineral resources Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Environmental Monitoring/Analysis Mineral Resources Geophysics/Geodesy Statistik Simulation (DE-588)4055072-2 gnd Geostatistik (DE-588)4020279-3 gnd Statistisches Modell (DE-588)4121722-6 gnd |
| topic_facet | Statistics Physical geography Mines and mineral resources Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Environmental Monitoring/Analysis Mineral Resources Geophysics/Geodesy Statistik Simulation Geostatistik Statistisches Modell |
| url | https://doi.org/10.1007/978-3-662-04808-5 |
| work_keys_str_mv | AT lantuejoulchristian geostatisticalsimulationmodelsandalgorithms |