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Titlebook: Quantitative Analysis of Mineral and Energy Resources; C. F. Chung,A. G. Fabbri,R. Sinding-Larsen Book 1988 D. Reidel Publishing Company,

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Principles of Mathematical Morphologys of operations. Emphasis is put on the progressive loss of information. The concept of a morphological filter is then presented. After a discussion on the current equipments, the conclusion compares Mathematical Morphology with the other methods for Image Analysis.
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Spatial Analysis of Patterns of Land-Based and Ocean-Floor Ore Depositsr process model. Next, the relationship between youngest sheet and pillow flows, which host hydrothermal vents on the East Pacific Rise near 21 °N is considered in detail. Finally, the spatial cross-covariance function is derived for the more complex spatial patterns of acidic and mixed volcanic roc
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An Unconventional Approach to Geostatistical Estimationl semivariogram can be obtained at a reasonable cost and for which no doubts arise about the semivariogram model, I will dwell at a greater length on an alternative “ad hoc” procedure for the latter case. Full information of the semivariogram is not required with this procedure, which would provide
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1389-2185 s for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In
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Levels of Information and Probalitity Mappingation is included. An “historical analysis” of training areas can complement standard geologic analysis, furnishing valuable insights into the problem..The following case studies are used to illustrate the affect which the level of information has on the choice of the methods used and on the probability maps.
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Review of Geomathematical Applications for Mineral Resources Evaluation in Chinanation-wide academic symposia on geomathematics were held in China during the last ten years. Over a quarter of the papers presented dealt with problems of statistical prediction and resource assessment. This review summarizes the types of geomathematical applications performed.
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An Unconventional Approach to Geostatistical Estimationan alternative “ad hoc” procedure for the latter case. Full information of the semivariogram is not required with this procedure, which would provide good approximation of the estimation variance more directly and at a relatively low sampling and computing cost, and without the uncertainties of the choice of the semivariogram model.
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