USDA.TT.im: Probability density for texture triangle

In Envirometrix/landmap: Automated Spatial Prediction using Ensemble Machine Learning

Probability density for texture triangle

Description

Probability density for texture triangle (USDA system) based on global soil profile data (see ISRIC WoSIS).

Usage

data(USDA.TT.im)

Format

The USDA.TT.im data frame contains the following columns:

v

numeric; probability density derived using the soiltexture::TT.kde2d function and global soil profile data

TEXMHT

factor; USDA soil texture class estimated by hand (one of the following: "C", "SiC", "SC", "CL", "SiCL", "SCL", "L", "SiL", "SL", "Si", "LS", "S")

s1

numeric; horizontal coordinate (sand content 0–1) in the texture triangle system

s2

numeric; vertical coordinate (0–0.85) in the texture triangle system

Note

Texture by hand class can be converted to sand, silt, clay content fractions by using the TT2tri function. This function uses the v column in the USDA.TT.im (i.e. prior probability densities) to adjust for texture fraction combinations that are more probable.

Author(s)

Tomislav Hengl

References

• Skaggs, T. H., Arya, L. M., Shouse, P. J., Mohanty, B. P., (2001) Estimating Particle-Size Distribution from Limited Soil Texture Data. Soil Science Society of America Journal 65 (4): 1038-1044.

Examples

## plot prior probabilities:
library(sp)
data(USDA.TT.im)
gridded(USDA.TT.im) <- ~s1+s2
spplot(USDA.TT.im["v"])

Envirometrix/landmap documentation built on June 10, 2022, 10:12 p.m.