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基于地理探测器的土壤重金属空间分异及其影响因素分析研究进展 被引量:10

Research Progress on Spatial Differentiation and Influencing Factors of Soil Heavy Metals Based on Geographical Detector
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摘要 地理探测器是探测空间分异性,以及揭示其背后驱动因子的一种新的统计学方法,由于其既能揭示单一因素对因变量的影响,也能评价双因素相互作用的影响,且不需要考虑线性,还能避免多变量共线性的影响,没有较强的模型假设,解决了传统方法在分析类别变量时的局限性,在土壤重金属空间分异领域研究的应用越来越广泛.通过收集40篇关于地理探测器在土壤重金属空间分异领域的研究报道,梳理了采用的自变量离散化方法、研究尺度、因变量和自变量类型、因子探测、交换探测、风险探测和生态探测等内容,并提出下一步的应用研究急需明确的问题,为地理探测器在土壤重金属空间分异领域深层次应用提供支撑. The geographical detector is a new statistical method to detect spatial stratified heterogeneity and reveal the driving factors behind it.It can not only reveal the influence of a single factor on dependent variables but also evaluate the influence of two-factor interactions and does not need to consider linearity,while also avoiding the influence of multivariate collinearity.Without strong model assumptions,it solves the limitations of traditional methods in analyzing category variables.The research on the spatial differentiation of heavy metals in soil is increasingly widely used.This study collected 40 research reports on the spatial differentiation of soil heavy metals via geographical detector,combed the discrete methods of independent variables,research scale,dependent variables and types of independent variables,factor detection,exchange detection,risk detection,and ecological detection and put forward the problems that need to be clarified in the future application of this research.It is expected to provide support for the deep application of geo-detector in the field of spatial differentiation of soil heavy metals.
作者 龚仓 王顺祥 陆海川 陈勇 刘玖芬 GONG Cang;WANG Shun-xiang;LU Hai-chuan;CHEN Yong;LIU Jiu-fen(Civil-Military Integrated Geological Survey Center of China Geological Survey,Chengdu 611732,China;Natural Resources Comprehensive Survey Command Center of China Geological Survey,Beijing 100055,China)
出处 《环境科学》 EI CAS CSCD 北大核心 2023年第5期2799-2816,共18页 Environmental Science
基金 中国地质调查局地质调查项目(ZD20220408,DD20208067)。
关键词 地理探测器 土壤重金属 空间分异 分布特征 离散化 geographical detector soil heavy metals spatial stratified heterogeneity distribution characteristics discretization
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