appendTextureclass: A function for attaching soil textural classes

In soilassessment: Assessment Models for Agriculture Soil Conditions and Crop Suitability

A function for attaching soil textural classes

Description

This function attaches soil textural classes according to different soil texture classification systems

Usage

appendTextureclass(df, method)

Arguments

df	spatial pixel dataframe with columns of soil textural proportions clay, silt, and sand in percentages
method	soil texture classification method for calculating soil texture. Default=USDA method

Details

df is an output of createTexturedata with spatial reference or similar dataframe with normalized proportions summing to 100 method is the texture classification method for textural class calculation. Exanple methods are USDA, FAO, Australian, German, etc.

Value

Output is a soil texture dataframe with textural classes for every row (or pixel) in the dataframe. The output may sometimes return double class such as "SaLo, Lo" implying possibility of a tie for two classes. Such outputs should be edited outside the package for meaningful representation of soil textural classes when necessary

Note

This function can sometimes return double classes such as "SaLo, Lo" implying possibility of a tie for two classes.

Author(s)

Christian Thine Omuto

References

Moyes J. 2018. The soil texture wizard: R functions for plotting, classifying, transforming and exploring soil texture data. https://cran.r-project.org/web/packages/soiltexture/vignettes/soiltexture_vignette.pdf

See Also

textureSuit, createTexturedata

Examples

library(soiltexture)
newtxt=textureinput

texturedata=createTexturedata(newtxt$clay, newtxt$silt, newtxt$sand)
newtxt1=appendTextureclass(as.data.frame(texturedata), method = "USDA")
levels(as.factor(newtxt1$TEXCLASS))

soilassessment documentation built on July 9, 2023, 7:40 p.m.