Identifying the driving factors of soil nitrate nitrogen via multiple machine learning models and GIS in an intensive plain agricultural area, China

Description

The dataset is composed of various covariants that influence content of soil nitrate nitrogen in a agricultrual area in North China Plain, includes N fertilizer input, physicochemical properties of soil, distance factors, remote sensing factors, etc., the data is presented in a Excel format.

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