空间统计方法在疑似违法矿山空间展布中的应用——以2017年新疆北部矿产资源疑似违法开采点为例

Application of spatial statistical method in spatial distribution of suspected illegal mines:a case study of suspected illegal mining sites of mineral resources in Northern Xinjiang in 2017

矿产资源开发和管理工作在近年来越来越受到重视。合理合法的矿产资源开发本能够促进地区的经济发展,但违法的开采行为始终存在,为矿业开发带了了很多不利的影响。本文以2017年新疆北部疑似违法开采点为例,使用空间统计方法对样本数据进行核密度分析和空间自相关研究,并以县区级行政区划为单位分析计算出样本数据疑似违法率的热点区、聚集区,为维护矿业的合法开采秩序,打击整治矿区环境等方面提供了数据支持和决策依据。结果表明:空间统计方法适用于矿产资源疑似违法矿山空间展布研究。

In recent years,more and more attention has been paid to the development and management of mineral resources.Reasonable and legal exploitation of mineral resources can promote the economic development of the region,but illegal mining behavior always exists,which brings a lot of adverse effects for mining development.Taking the suspected illegal mining sites in Northern Xinjiang in 2017 as an example,this paper uses the spatial statistical method to conduct nuclear density analysis and spatial autocorrelation research on the sample data,and analyzes and calculates the hot spots and gathering areas of the suspected illegal rate of the sample data by taking the county and district administrative divisions as the unit,which provides data support and decision for maintaining the legal mining order of the mining industry and cracking down on the mining environment Policy basis.The results show that the method is applicable to the spatial distribution of suspected mineral resources.