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Updated: Jun 25, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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通过使用可解释机器学习模型,识别土壤重金属污染物中的空间驱动因素的互动效应

Deyu Duan1, Peng Wang1, Xin Rao2

  • 1School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.

The Science of the total environment
|May 20, 2024
PubMed
概括

识别土壤重金属 (SHM) 的空间驱动因素是管理的关键. 这项研究表明,环境因素之间的相互作用显著影响SHM的分布和污染,为有效的补救策略提供了新的见解.

关键词:
地质探测器 地质探测器相互作用效应 相互作用效应机器学习 (ML) 是指机器学习.沙普利的添加式扩展 (SHAP)土壤中含有重金属.

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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