Abstract

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.

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