Predicting bulk density in Brazilian soils for carbon stocks calculation: a comparative study of multiple linear regression and Random Forest models using continuous and categorical variables.
Predicting bulk density in Brazilian soils for carbon stocks calculation: a comparative study of multiple linear regression and Random Forest models using continuous and categorical variables.
Author(s): SANTOS, W. P. dos; VAZ, C. M. P.; MARTIN NETO, L.; ANSELMI, A.; TOMASELLA, J.; COSTA, F. de S.; ALBUQUERQUE, J. A.; LIER, Q. de J. van; GALBIERI, R.; PERINA, F. J.
Summary: The present study aims to develop pedotransfer functions for estimating ?b using stepwise multiple linear regression applied to soil properties from available databases, which are considered suitable predictors (PTF-1).
Publication year: 2025
Types of publication: Journal article
Unit: Embrapa Instrumentation
Keywords: Análise Estatística, Análisis de regresión, Análisis estadístico, Bulk density, Carbono, Carbono orgánico del suelo, Densidad aparente, Disponibilidad de nutrientes, Disponibilidade de Nutriente, Estimativa, Estoque, Funciones de edafotransferancia, Nutrient availability, Pedotransfer functions, Predicción, Prediction, Química del suelo, Química do Solo, Regression analysis, Regressão Linear, Soil chemistry, Soil organic carbon, Statistical analysis
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