A novel, practical approach to modeling spatial uncertainty.
This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty.
Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume:
* Reviews the most up-to-date geostatistical methods and the types of problems they address.
* Emphasizes the statistical methodologies employed in spatial estimation.
* Presents simulation techniques and digital models of uncertainty.
* Features more than 150 figures and many concrete examples throughout the text.
* Includes extensive footnoting as well as a thorough bibliography.
Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
JEAN-PAUL CHIL?S is a senior research scientist with the Bureau de Recherches G?ologiques et Mini?res (the French Geological Survey) in Orleans, France.
PIERRE DELFINER is a scientific advisor in geosciences with Total Exploration Production in Paris, France.
A novel, practical approach to modeling spatial uncertainty.
This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence. This unique approach facilitates realistic modeling that accounts for the complexity of natural phenomena and helps solve economic and development problems-in mining, oil exploration, environmental engineering, and other real-world situations involving spatial uncertainty.
Up-to-date, comprehensive, and well-written, Geostatistics: Modeling Spatial Uncertainty explains both theory and applications, covers many useful topics, and offers a wealth of new insights for nonstatisticians and seasoned professionals alike. This volume:
* Reviews the most up-to-date geostatistical methods and the types of problems they address.
* Emphasizes the statistical methodologies employed in spatial estimation.
* Presents simulation techniques and digital models of uncertainty.
* Features more than 150 figures and many concrete examples throughout the text.
* Includes extensive footnoting as well as a thorough bibliography.
Geostatistics: Modeling Spatial Uncertainty is the only geostatistical book to address a broad audience in both industry and academia. An invaluable resource for geostatisticians, physicists, mining engineers, and earth science professionals such as petroleum geologists, geophysicists, and hydrogeologists, it is also an excellent supplementary text for graduate-level courses in related subjects.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 10,38 per la spedizione da Regno Unito a Italia
Destinazione, tempi e costiEUR 33,94 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiDa: Anybook.com, Lincoln, Regno Unito
Condizione: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9780471083153. Codice articolo 9983306
Quantitą: 1 disponibili
Da: Anybook.com, Lincoln, Regno Unito
Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9780471083153. Codice articolo 5585317
Quantitą: 1 disponibili
Da: ChouetteCoop, Kervignac, Francia
Condizione: Used: Good. Occasion - Bon Etat - Geostatistics : Modeling spatial uncertainty (1999) - Grand Format. Codice articolo 3139576
Quantitą: 1 disponibili
Da: Modernes Antiquariat an der Kyll, Lissendorf, Germania
Gebundene Ausgabe. Condizione: Wie neu. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen 219136 Sprache: Englisch Gewicht in Gramm: 1150. Codice articolo 218275
Quantitą: 1 disponibili
Da: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Hardcover. Condizione: New. No Jacket. 1st Edition. This is a new hardcover first edition, first printing copy, no DJ, dark blue binding. 695 pages with index. Codice articolo 104065
Quantitą: 1 disponibili
Da: Big River Books, Powder Springs, GA, U.S.A.
Condizione: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting. Codice articolo BRV.0471083151.G
Quantitą: 1 disponibili
Da: dsmbooks, Liverpool, Regno Unito
Hardcover. Condizione: New. New. book. Codice articolo D7S9-1-M-0471083151-6
Quantitą: 1 disponibili
Da: OM Books, Sevilla, SE, Spagna
Condizione: Usado - bueno. Codice articolo 9780471083153
Quantitą: 1 disponibili