GOLD predictivity mapping in French Guiana using an expert-guided data-driven approach based on a regional-scale GIS

被引：0
|
作者：
Cassard, Daniel [1 ]
Billa, Mario [1 ]
Lambert, Alain [1 ]
Picot, Jean-Claude [1 ]
Husson, Yves [1 ]
机构：
[1] Bur Rech Geol & Minieres, Mineral Resources Div, F-45060 Orleans 2, France
来源：
GIS IN GEOLOGY AND EARTH SCIENCES | 2008年 / 1009卷
关键词：
mining potential; probabilistic mapping; gold predictivity map;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
The realistic estimation of gold mining in French Guiana requires including the numerous illegal gold washing activities in predictivity mapping. The combination of a classical approach, based on the algebraic method of Knox-Robinson and Groves, with innovative processing grid-type geochemical and radiometric data, as well as cluster analysis technique provides a better understanding of the structure of studied mineralized areas.
引用
收藏
页码：52 / 57
页数：6
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