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ScaleP is a collection of R functions for the scale-specific prediction of soil properties. The relation between the functions are visualized in Figure 1. Accordingly, three types can be distinguished:
- PreProzessing functions comprise the mosaicing of BKG DEM files (fMosaicBKG), the subsetting of raster files (fCropRaster) and the aggregation and converting of raster files to polygon shape files (fGrid2Poly). MRS stands for multi-resolution segmentation Benz et al. 2004, which can be applied to generate multi-hierachical reference units (Möller et al. 2008, Möller et al. 2012, Möller & Volk 2015]). The optional function fFilter enables the column-specific filtering of segmentation results.
- Parametrization functions provide multi-scale terrain attributes (fTerrA.R) and enable the coupling of terrain attributes and SCMaP multi-temporal soil reflectance composites (Rogge et al. 2018) with polygon shape files (fZonaTA | fZonaRS).
- The actual maschine learning process chain includes three functions:
- Function (fRFE) determines the best combination of explaining variables for the prediction of soil classes and numeric parameters by applying the [R]ecursive [F]eature [E]limination approach.
- The actual prediction of soil classes and numeric soil parameters is realized by excecuting data mining algorithms, which are embedded within the functions fClasP and fNumP. Function fEvualate contains definitions of accuracy metrics for classifications.
Figure 1: Relations between ScaleP functions