In the initial phase of a national project to map clay, sand and soil organic matter (SOM)
content in arable topsoil in Sweden, a study area in south-west Sweden comprising about
100 000 ha of arable land was assessed. Models were created for texture, SOM and two
estimated variables for lime requirement determination (target pH and buffering capacity),
using a data mining method (multivariate adaptive regression splines). Two existing
reference soil datasets were used: a grid dataset and a dataset created for individual farms …