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

近地點(diǎn)

書目名稱Computer Applications in the Earth Sciences影響因子(影響力)




書目名稱Computer Applications in the Earth Sciences影響因子(影響力)學(xué)科排名




書目名稱Computer Applications in the Earth Sciences網(wǎng)絡(luò)公開(kāi)度




書目名稱Computer Applications in the Earth Sciences網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Computer Applications in the Earth Sciences被引頻次




書目名稱Computer Applications in the Earth Sciences被引頻次學(xué)科排名




書目名稱Computer Applications in the Earth Sciences年度引用




書目名稱Computer Applications in the Earth Sciences年度引用學(xué)科排名




書目名稱Computer Applications in the Earth Sciences讀者反饋




書目名稱Computer Applications in the Earth Sciences讀者反饋學(xué)科排名

全能

某人

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

Ordnance

,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

編輯才信任

Parameter

,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

Parameter

Harridan

,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

打折

lambaste