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矿集区预测中的探索式空间分析方法及应用——以中亚铜矿集区预测为例
THE IMPORTANCE OF ESDA METHOD FOR METALLOGENIC DISTRICT MAPPING——CU METALLOGENIC DISTRICT MAPPING IN CENTRAL ASIA
【摘要】 随着地理信息科学和计算机技术的发展,计算环境下矿集区预测方法的研究热潮也初现端倪.依据矿集区所包含的理论内涵(矿床密集区、潜力密集区的聚集内涵),提出了应用探索式空间分析法进行矿集区预测的设想,并以北至科克舍套,南至帕米尔高原,西至乌拉尔山,东至新疆边境的中亚区域为研究区,利用探索式空间分析方法从含矿潜力的确定及其空间分布模式的探索入手,对研究区铜矿集区进行了预测,初步圈定了乌拉尔、矿区阿尔泰、北滨巴尔喀什、斋桑、塔尔巴合台等17处铜矿集区.研究成果除包含了研究区已知矿集区外,还有7处新区,反映了探索式空间分析法在矿集区预测中的应用潜力.
【Abstract】 As the rapid developing of geographical information and computer techniques,the research on predictive methods of metallogenic districts has drawn more and more attention,particularly to do that in computational environment.In this paper,based on the content which included in the concept of metallogenic district itself,The idea of utilizing ESDA method to map the potential of metallogenic districts is put forward.In case study of metallogenic district mapping of Central Asia,the ESDA method is applied by computing mineral potential and exploring its spatial patterns.17 metallogenic districts in total are picked out and 7 of them are unknown before.It indicates applicable potential of ESDA method for metallogenic district mapping.
【Key words】 Exploratory Spatial data Analysis(ESDA); Metallogenic District; Central Asia;
- 【文献出处】 新疆地质 ,Xinjiang Geology , 编辑部邮箱 ,2008年01期
- 【分类号】P612
- 【被引频次】3
- 【下载频次】185