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Updated: May 7, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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主要成分分析算法的比较,用于在高维和缩小样本大小的农气数据中进行归算

Valter Cesar de Souza1, Sergio Augusto Rodrigues1, Luís Roberto Almeida Gabriel Filho2

  • 1São Paulo State University (Unesp), School of Agriculture, Botucatu, São Paulo, Brasil.

PloS one
|December 31, 2024
PubMed
概括

准确的气象数据对农业至关重要. 这项研究表明,使用NIPALS和EM算法的主要组件分析 (PCA) 有效地归因了缺少的参考蒸发转化 (ETo) 数据,优于简单平均值归因.

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