|
| Titre : |
Geostatistics for natural resources evaluation |
| Type de document : |
texte imprimé |
| Auteurs : |
Goovaerts; Pierre |
| Editeur : |
Oxford : Oxford university press |
| Année de publication : |
1997 |
| Importance : |
483 p. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-0-19-511538-3 |
| Langues : |
Anglais (eng) |
| Catégories : |
Livres
|
| Tags : |
Geology -- Statistical methods |
| Index. décimale : |
550 Sciences de la terre |
| Résumé : |
This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences. |
Geostatistics for natural resources evaluation [texte imprimé] / Goovaerts; Pierre . - Oxford : Oxford university press, 1997 . - 483 p. ; 24 cm. ISBN : 978-0-19-511538-3 Langues : Anglais ( eng)
| Catégories : |
Livres
|
| Tags : |
Geology -- Statistical methods |
| Index. décimale : |
550 Sciences de la terre |
| Résumé : |
This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences. |
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