Data and script for "Strategies for predictive digital soil mapping by geophysical, remote sensing and machine learning approaches"

Article data and scripts: "Strategies for predictive digital soil mapping by geophysical, remote sensing and machine learning approaches" First Unzip the Raster_final_certo.zip and Dados_base.zip filesOpen the Strategies.Rproj file in R or Rstudio software The scripts should be to be run in a described sequence:01_Extract02_Script_remove_covariate03_Script_train04_Map_statistical 02_Script_remove_covariate scripts can take considerable time to complete. It is necessary to install the library packages "dplyr", "caret" "sp", "sf", "doParallel", "terra", "PMCMR", "rcompanion", "multcompView", "forcat, "scale", "randomForest", "kknn", "kernlab", "C50", "plyr" and "nnet" The program ran successfully on R version 4.4.2.