Comparison of additive and isometric log-ratio transformations combined with machine learning and regression kriging models for mapping soil particle size fractions

•Climate factors, terrain attributes, soil and vegetation data are important scorpan factors for mapping soil psf.•ILR transformation has advantages in mapping soil psf.•ML improves accuracy better than RK in mapping soil psf.•ILR combined with RF is the optimal combination for mapping soil psf.