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

下载

页码：52 / 57

页数：6

共 22 条

[21] Flood susceptibility assessment and mapping in a monsoon-dominated tropical river basin using GIS-based data-driven bivariate and multivariate statistical models and their ensemble techniques
Ghosh, Biman
ENVIRONMENTAL EARTH SCIENCES, 2023, 82 (01)
[22] Spatial assessment of accelerated surface runoff and water accumulation potential areas using AHP and data-driven GIS-based approach: the case of Ilorin metropolis, Nigeria
Idrees, Mohammed O.
Olateju, Sanni A.
Omar, Dahir M.
Babalola, Ayo
Ahmadu, Hussein A.
Kalantar, Bahareh
GEOCARTO INTERNATIONAL, 2022, 37 (27) : 15877 - 15895

← 1 2 3 →