| 000 | 03592nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-3-662-04808-5 | ||
| 003 | DE-He213 | ||
| 005 | 20220801140048.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 130602s2002 gw | s |||| 0|eng d | ||
| 020 |
_a9783662048085 _9978-3-662-04808-5 |
||
| 024 | 7 |
_a10.1007/978-3-662-04808-5 _2doi |
|
| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aPBT _2bicssc |
|
| 072 | 7 |
_aMAT029000 _2bisacsh |
|
| 072 | 7 |
_aPBT _2thema |
|
| 082 | 0 | 4 |
_a519 _223 |
| 100 | 1 |
_aLantuejoul, Christian. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _931788 |
|
| 245 | 1 | 0 |
_aGeostatistical Simulation _h[electronic resource] : _bModels and Algorithms / _cby Christian Lantuejoul. |
| 250 | _a1st ed. 2002. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2002. |
|
| 300 |
_aXIII, 256 p. 232 illus., 76 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 505 | 0 | _a1. 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. | |
| 520 | _aWithin 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. | ||
| 650 | 0 |
_aStatistics . _931616 |
|
| 650 | 0 |
_aEnvironmental monitoring. _913183 |
|
| 650 | 0 |
_aMineralogy. _931789 |
|
| 650 | 0 |
_aGeophysics. _99811 |
|
| 650 | 1 | 4 |
_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _931790 |
| 650 | 2 | 4 |
_aEnvironmental Monitoring. _913183 |
| 650 | 2 | 4 |
_aMineralogy. _931789 |
| 650 | 2 | 4 |
_aGeophysics. _99811 |
| 710 | 2 |
_aSpringerLink (Online service) _931791 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642075827 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540422020 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662048092 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-662-04808-5 |
| 912 | _aZDB-2-SMA | ||
| 912 | _aZDB-2-SXMS | ||
| 912 | _aZDB-2-BAE | ||
| 942 | _cEBK | ||
| 999 |
_c75134 _d75134 |
||