Over the last few years, because of huge cost of sample analysis in mining science and environmental studies the use of multivariate analysis has increased exponentially and the interpretation have become more important, subsequently. Determination of geochemical concentrations and spatial distribution of elements regarding geological features using different statistical methods is an essential analysis for mineral exploration. This book deals with the distribution of ore elements and their corresponding association in an orebody, have tried to use C-N multi bi-fractal models, the correspondence analysis, cluster and PCA while opened using log-ratio transformations. The aim of this book is to present a methodology (combination of fractal geometry and CA) for analyzing elemental distribution, clustering the elemental rank of mineralization, and spatial association between elements and samples. From a theoretical point of view, the extraction of qualitative and quantitative properties of mineralization in different epithermal and porphyry deposits can be improved by these methods.
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Over the last few years, because of huge cost of sample analysis in mining science and environmental studies the use of multivariate analysis has increased exponentially and the interpretation have become more important, subsequently. Determination of geochemical concentrations and spatial distribution of elements regarding geological features using different statistical methods is an essential analysis for mineral exploration. This book deals with the distribution of ore elements and their corresponding association in an orebody, have tried to use C-N multi bi-fractal models, the correspondence analysis, cluster and PCA while opened using log-ratio transformations. The aim of this book is to present a methodology (combination of fractal geometry and CA) for analyzing elemental distribution, clustering the elemental rank of mineralization, and spatial association between elements and samples. From a theoretical point of view, the extraction of qualitative and quantitative properties of mineralization in different epithermal and porphyry deposits can be improved by these methods.
Farshad Darabi-Golestan has a PhD in Mining Exploration Engineering from the Amirkabir University of Technology, Iran. He published a book entitled “Exploration Modeling and Evaluation of Geochemistry Data” especially focused on Copper and Gold deposits. His current research interests include geochemical exploration, geostatistic, and data mining.
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Taschenbuch. Zustand: Neu. Neuware -Over the last few years, because of huge cost of sample analysis in mining science and environmental studies the use of multivariate analysis has increased exponentially and the interpretation have become more important, subsequently. Determination of geochemical concentrations and spatial distribution of elements regarding geological features using different statistical methods is an essential analysis for mineral exploration. This book deals with the distribution of ore elements and their corresponding association in an orebody, have tried to use C-N multi bi-fractal models, the correspondence analysis, cluster and PCA while opened using log-ratio transformations. The aim of this book is to present a methodology (combination of fractal geometry and CA) for analyzing elemental distribution, clustering the elemental rank of mineralization, and spatial association between elements and samples. From a theoretical point of view, the extraction of qualitative and quantitative properties of mineralization in different epithermal and porphyry deposits can be improved by these methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Artikel-Nr. 9786137340431
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Taschenbuch. Zustand: Neu. New Insight on Fractal and Multivariate Techniques | In Geochemical Exploration, Mineralization Ranking, Data Clustering | Farshad Darabi Golestan (u. a.) | Taschenbuch | 72 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137340431 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 111671710
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