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Titlebook: Geomathematics: Theoretical Foundations, Applications and Future Developments; Frits Agterberg Book 2014 Springer International Publishing

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書目名稱Geomathematics: Theoretical Foundations, Applications and Future Developments
編輯Frits Agterberg
視頻videohttp://file.papertrans.cn/384/383413/383413.mp4
概述Presents mathematical applications to delineate geological entities in the Earth’s upper crust.Demonstrates the use of mathematical statistics in the geosciences.Includes probabilistic mineral resourc
叢書名稱Quantitative Geology and Geostatistics
圖書封面Titlebook: Geomathematics: Theoretical Foundations, Applications and Future Developments;  Frits Agterberg Book 2014 Springer International Publishing
描述This book provides a wealth of geomathematical case history studies performed by the author during his career at the Ministry of Natural Resources Canada, Geological Survey of Canada (NRCan-GSC). Several of the techniques newly developed by the author and colleagues that are described in this book have become widely adopted, not only for further research by geomathematical colleagues, but by government organizations and industry worldwide. These include Weights-of-Evidence modelling, mineral resource estimation technology, trend surface analysis, automatic stratigraphic correlation and nonlinear geochemical exploration methods. The author has developed maximum likelihood methodology and spline-fitting techniques for the construction of the international numerical geologic timescale. He has introduced the application of new theory of fractals and multi fractals in the geostatistical evaluation of regional mineral resources and ore reserves and to study the spatial distribution of metalsin rocks. The book also contains sections deemed important by the author but that have not been widely adopted because they require further research. These include the geometry of preferred orientatio
出版日期Book 2014
關(guān)鍵詞Exploration Geochemistry; Geostatistics; Mathematical Geoscience; Mineral Resource Appraisal; Three-dime
版次1
doihttps://doi.org/10.1007/978-3-319-06874-9
isbn_softcover978-3-319-34947-3
isbn_ebook978-3-319-06874-9Series ISSN 0924-1973 Series E-ISSN 2215-1834
issn_series 0924-1973
copyrightSpringer International Publishing Switzerland 2014
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https://doi.org/10.1007/978-3-658-34563-1l’s equation (.. Agterberg 1974) for linear relationship between two variables that are both subject to error can be regarded as a special case of MLFR..Multiple regression can be used for curve-fitting if the relationship between two variables is not linear but other explanatory variables have to b
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https://doi.org/10.1007/978-3-658-25298-4ntly used geostatistical semivariograms including the spherical and exponential models allow for a nugget effect at their origin representing non-zero variance and assume asymptotic convergence to a constant value representing regional variance at large sampling intervals exceeding a range. However,
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Wolf J. Schünemann,Stefan Steigerf the first computer-based methods widely applied in geophysics, stratigraphy and physical geography in the 1960s. Initially, it was assumed that the residuals from a best-fitting trend surface should be independent and normally distributed but Watson (J Int Assoc Math Geol 3:215–226, 1971) clarifie
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https://doi.org/10.1007/978-3-662-67914-2this chapter. Initially, ranking is illustrated by application to a simple, artificial dataset. Scaling is explained as a refinement of ranking. Implications of techniques of sampling stratigraphic sections are discussed. RASC probable positions with error bars can be determined in different section
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