createTexturedata: A function for creating spatial dataframe of normalized soil...

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

A function for creating spatial dataframe of normalized soil texture proportions

Description

The function creates spatial dataframe of normalized soil texture proportions. They are normalized to 100 percent

Usage

createTexturedata(clay,silt,sand)

Arguments

clay	clay proportion of soil texture in percent
silt	silt proportion of soil texture in percent
sand	sand proportion of soil texture in percent

Details

the input data of soil texture proportions are imported into R as spatial raster or dataframe. They need to have uniform coordinate reference system (CRS) and same pixel size (resolution) if in raster map format. The sum of the proportions should be close to 100 per cent for each row

Value

The output is a spatial pixel dataframe of normalized soil texture proportions (for each pixel)

Note

It's important to ensure the input data does not have negative values nor add up to far below or above 100 per cent. It's also important to adhere to the order of the input data: clay, silt, sand

Author(s)

Christian Thine Omuto

See Also

createTexturedata, appendTextureclass

Examples

#data(textureinput)
newmap=textureinput

texturedata=createTexturedata(newmap$clay, newmap$silt, newmap$sand)
cor(texturedata$CLAY,texturedata$CLAY_n)^2

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