Lingua: Inglese
Editore: Kluwer Academic Publishers, Dordrecht, 1997
ISBN 10: 0792344960 ISBN 13: 9780792344964
Da: Florida Mountain Book Co., Datil, NM, U.S.A.
Condizione: Very Good. Hardcover 2-volume set, approximately 1400 total pages. Very Good condition. Size 9.625"x6.5". Volume 1 ISBN# 0792344944. Volume 2 ISBN# 0792344952. A collection of papers presented at the Wollongong '96 International Geostatistical Congress. The papers "provide a comprehensive account of the current methods and work in geostatistics, including recent theoretical developments and applications. Topics featured include: stochastic simulations, space-time modelling, and Bayesian framework." The previous owner of this set was a contributor and participant in the Congress, his signature is on the front fly of Volume 1. Books have moderate handling/shelfwear; spines are moderately sunnned. Bindings are tight. Texts are clean and unmarked.
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Da: California Books, Miami, FL, U.S.A.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Geostatistics Wollongong' 96 | Volume 2 | E. Y. Baafi (u. a.) | Taschenbuch | Quantitative Geology and Geostatistics | xi | Englisch | 2012 | Springer | EAN 9789401064156 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Kluwer Academic Publishers, 1997
ISBN 10: 0792344960 ISBN 13: 9780792344964
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Aggiungi al carrelloCondizione: New. Contains contributions which were presented at the Fifth International Geostatistics Congress held in Wollongong, Australia, in September 1996. This book includes papers that provide a comprehensive account of the geostatistics, including theoretical developments and applications. Editor(s): Baafi, E. Y.; Schofield, N. A. Series: Quantitative Geology and Geostatistics. Num Pages: 665 pages, biography. BIC Classification: PDE; RBG; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 36. Weight in Grams: 1116. . 1997. Hardback. . . . .
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Aggiungi al carrelloGebunden. Condizione: New. In diamond alluvial deposits, the information about the spatial distribution of stone size is of crucial importance for the quantitative characterisation of the different areas of the deposit. In fact, the value of the diamond reserves depends strongly on t.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In diamond alluvial deposits, the information about the spatial distribution of stone size is of crucial importance for the quantitative characterisation of the different areas of the deposit. In fact, the value of the diamond reserves depends strongly on the distribution of stone sizes: between two areas with the same grade, the most valuable is the one with larger stones. The geological genesis of the mineralization, related with the transport and deposition of stones in trapsites, can create separated spatial areas, corresponding to different stone size. To characterise these distinct areas, the non smooth transitions between them should be accounted for, in the estimation of internal properties. An extended version of zonal control of geostatistical estimation (Soares et ai, 1995) proposed in this paper, aims to characterising the classes of size histogram for each geological unit, avoiding the smooth effect. For this purpose the morphology of each geological unit is obtained by using two distinct criteria: i) first, the points of each unit are classified according to the local and global probabilities of belonging to each unit (Soares, 1992); ii) in a second classification, the optimization technique of Simulated Annealing is used to rearrange the pre-classified points in order to impose, in the final morphological maps, the spatial variability of experimental samples (Goovaerts, 1994). A case study of a diamond alluvial deposit with two geological units with distinct stone size histograms is presented.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 708 pages. 9.45x6.30x1.60 inches. In Stock.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 9.75x7.00x2.25 inches. In Stock.
Lingua: Inglese
Editore: Kluwer Academic Publishers, 1997
ISBN 10: 0792344960 ISBN 13: 9780792344964
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. Contains contributions which were presented at the Fifth International Geostatistics Congress held in Wollongong, Australia, in September 1996. This book includes papers that provide a comprehensive account of the geostatistics, including theoretical developments and applications. Editor(s): Baafi, E. Y.; Schofield, N. A. Series: Quantitative Geology and Geostatistics. Num Pages: 665 pages, biography. BIC Classification: PDE; RBG; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 36. Weight in Grams: 1116. . 1997. Hardback. . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - In diamond alluvial deposits, the information about the spatial distribution of stone size is of crucial importance for the quantitative characterisation of the different areas of the deposit. In fact, the value of the diamond reserves depends strongly on the distribution of stone sizes: between two areas with the same grade, the most valuable is the one with larger stones. The geological genesis of the mineralization, related with the transport and deposition of stones in trapsites, can create separated spatial areas, corresponding to different stone size. To characterise these distinct areas, the non smooth transitions between them should be accounted for, in the estimation of internal properties. An extended version of zonal control of geostatistical estimation (Soares et ai, 1995) proposed in this paper, aims to characterising the classes of size histogram for each geological unit, avoiding the smooth effect. For this purpose the morphology of each geological unit is obtained by using two distinct criteria: i) first, the points of each unit are classified according to the local and global probabilities of belonging to each unit (Soares, 1992); ii) in a second classification, the optimization technique of Simulated Annealing is used to rearrange the pre-classified points in order to impose, in the final morphological maps, the spatial variability of experimental samples (Goovaerts, 1994). A case study of a diamond alluvial deposit with two geological units with distinct stone size histograms is presented.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In diamond alluvial deposits, the information about the spatial distribution of stone size is of crucial importance for the quantitative characterisation of the different areas of the deposit. In fact, the value of the diamond reserves depends strongly on t.
Lingua: Inglese
Editore: Springer Netherlands Nov 2012, 2012
ISBN 10: 9401064156 ISBN 13: 9789401064156
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 320,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In diamond alluvial deposits, the information about the spatial distribution of stone size is of crucial importance for the quantitative characterisation of the different areas of the deposit. In fact, the value of the diamond reserves depends strongly on the distribution of stone sizes: between two areas with the same grade, the most valuable is the one with larger stones. The geological genesis of the mineralization, related with the transport and deposition of stones in trapsites, can create separated spatial areas, corresponding to different stone size. To characterise these distinct areas, the non smooth transitions between them should be accounted for, in the estimation of internal properties. An extended version of zonal control of geostatistical estimation (Soares et ai, 1995) proposed in this paper, aims to characterising the classes of size histogram for each geological unit, avoiding the smooth effect. For this purpose the morphology of each geological unit is obtained by using two distinct criteria: i) first, the points of each unit are classified according to the local and global probabilities of belonging to each unit (Soares, 1992); ii) in a second classification, the optimization technique of Simulated Annealing is used to rearrange the pre-classified points in order to impose, in the final morphological maps, the spatial variability of experimental samples (Goovaerts, 1994). A case study of a diamond alluvial deposit with two geological units with distinct stone size histograms is presented. 708 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Nov 2012, 2012
ISBN 10: 9401064156 ISBN 13: 9789401064156
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 320,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In diamond alluvial deposits, the information about the spatial distribution of stone size is of crucial importance for the quantitative characterisation of the different areas of the deposit. In fact, the value of the diamond reserves depends strongly on the distribution of stone sizes: between two areas with the same grade, the most valuable is the one with larger stones. The geological genesis of the mineralization, related with the transport and deposition of stones in trapsites, can create separated spatial areas, corresponding to different stone size. To characterise these distinct areas, the non smooth transitions between them should be accounted for, in the estimation of internal properties. An extended version of zonal control of geostatistical estimation (Soares et ai, 1995) proposed in this paper, aims to characterising the classes of size histogram for each geological unit, avoiding the smooth effect. For this purpose the morphology of each geological unit is obtained by using two distinct criteria: i) first, the points of each unit are classified according to the local and global probabilities of belonging to each unit (Soares, 1992); ii) in a second classification, the optimization technique of Simulated Annealing is used to rearrange the pre-classified points in order to impose, in the final morphological maps, the spatial variability of experimental samples (Goovaerts, 1994). A case study of a diamond alluvial deposit with two geological units with distinct stone size histograms is presented.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 708 pp. Englisch.