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

Published: 20 May 2025| Version 4 | DOI: 10.17632/hh9yrgfzb4.4
Contributor:
songpu li

Description

The repository contains the data files used to simulate the spatiotemporal distribution of soil salinity in western Jilin Province, China, including the locations of the data points, soil salinity (EC), and all the environmental variables for models. It also contains the code files for the RF model and the three XAI techniques employed in the paper.

Files

Institutions

  • Jilin University

Categories

Soil, Soil Salinity

Licence