Supplementary material for "A novel interpretable artificial intelligence (XAI) approach for revealing the spatiotemporal variation and driving factors of soil salinization in a semi-arid region"

The repository contains the primary input files utilised to simulate the soil salinization risk model. These files encompass soil salinization point locations and environmental variables, which have been meticulously collected from the extant literature. In addition, the complete Python code for the RF model, the three XAI techniques, factor analysis, and analysis of covariance utilised in the paper are provided. These are all summarised in the order in which they are presented in the paper (Phase Ⅰ to Ⅳ).