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Titlebook: Computer Applications in the Earth Sciences; An Update of the 70s Daniel F. Merriam (Jessie Page Heroy Professor of Book 1981 Springer Sci

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發(fā)表于 2025-3-21 20:05:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computer Applications in the Earth Sciences
副標題An Update of the 70s
編輯Daniel F. Merriam (Jessie Page Heroy Professor of
視頻videohttp://file.papertrans.cn/234/233492/233492.mp4
叢書名稱Computer Applications in the Earth Sciences
圖書封面Titlebook: Computer Applications in the Earth Sciences; An Update of the 70s Daniel F. Merriam (Jessie Page Heroy Professor of  Book 1981 Springer Sci
出版日期Book 1981
關鍵詞development; geology; geoscience; information system; stratigraphy
版次1
doihttps://doi.org/10.1007/978-1-4684-7732-0
isbn_softcover978-1-4684-7734-4
isbn_ebook978-1-4684-7732-0Series ISSN 1567-8296
issn_series 1567-8296
copyrightSpringer Science+Business Media New York 1981
The information of publication is updating

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Computers as an Aid in Mineral-Resource Evaluation,puter-based mineral-resource estimation and statistical exploration; and (3) quantification and analysis of geoscience map data. Several examples are presented to illustrate the geostatistical modeling of results obtained by image analysis, and the interpretation of probability index maps derived by
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,Quantitative Biostratigraphy, 1830–1980,il assemblages by calculating the percent of living species in them. Quantitative biostratigraphy languished for about 125 years but a major renaissance began in the late 1950’s which is continuing at an accelerating pace..Methods of quantitative biostratigraphy can be grouped into several categorie
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,Looking Harder and Finding Less—Use of the Computer in Petroleum Exploration,in the field of geophysics was the single most significant development, and promises to alter many basic procedures in exploration. Programs and techniques for computer mapping have improved significantly during the decade; contour mapping now is probably the most important application of computers
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,Regional Mineral- and Fuel-Resource Forecasting — A Major Challenge and Opportunity for MathematicaThe problems of forecasting inherently are statistical, and they should be based on geological, geophysical, and mineralproduction data insofar as possible. Thus, the problems are both geological and statistical, or in other words, strong “geostatistical”..There are three main categories of problems
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