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1)  mineral prediction
矿产预测
1.
The application of magnetic method in national mineral prediction;
磁法在我国矿产预测中的应用
2.
To realiz automatic selection and digitalization for geological variables in GIS can both obviously improve the efficiency of GIS-supporting mineral prediction and provide the technical prerequisite for automatic GIS-supporting mineral prediction.
在GIS中实现地质变量选择与赋值的自动化可以显著提高GIS矿产预测工作的效率 ,同时也为实现GIS矿产预测全程自动化提供了技术前提。
3.
However, we meet some qualitive variables in mineral prediction, such as fault directions, ore scaling, and classification, etc.
矿产预测中常涉及一些定性变量,对这些变量的分析和应用,必须将定性描述的地质特征转化为用数值表示的变量,这就需要处理此问题的方法——多维标度法。
2)  mineral resources prediction
矿产预测
1.
Information processing of mineral resources prediction;
矿产预测信息化问题的研究
2.
The application of the analogy to the mineral resources prediction includes both the analogy in number of geological markers between different geological units and that in spatial distribution of geological markers.
矿产预测中应用类比方法 ,不仅应比较不同地段地质标志数量的大小 ,也应比较各种地质标志的空间分布 ,为此提出了“单元簇”的概念 。
3)  prediction of mineral resources
矿产预测
1.
This paper introduces the application of GIS to prediction of mineral resources by taking the Huayingshan Sr mineralization belt as an example.
本文以华蓥山锶矿带为例, 介绍了运用GIS技术进行矿产预测的方法。
4)  mineral deposit prediction
矿产预测
1.
Element assemblage anomaly is also studied,and necessity of assemblage anomaly in mineral deposit prediction is demonstrated.
最后,研究了不同元素的组合异常,论证了在矿产预测中应用组合异常的必要性并利用G IS进行了找矿有利地段的圈定。
5)  forecast of demand of minerals
矿产品需求预测
6)  Mineral resources prediction and assessment
矿产预测评价
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
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