R/dsmartr.R

#' dsmartr: An R implementation of the DSMART algorithm
#'
#' dsmartr is an approach to the DSMART model (Odgers, 2014), which attempts
#' increase the level of detail in legacy soil maps. Relationships between these
#' maps and various environmental datasets are used to build a classification
#' tree model. The model is used to map the map components as a fine-scaled
#' raster. This process is repeated multiple times, with variation introduced
#' around sample location and soil class proportions to vary the outputs
#' somewhat. The model realisations are then processed to give a 'most likely'
#' soils map. Refer to the package vignette for more detail.
#'
#' @references Odgers, N.P., Sun, W., McBratney, A.B., Minasny, B., Clifford,
#'   D., (2014)
#'   \href{http://dx.doi.org/10.1016/j.geoderma.2013.09.024}{Disaggregating and
#'   harmonising soil map units through resampled classification trees}.
#'   Geoderma, 214-215: 91-100.
"_PACKAGE"
obrl-soil/dsmartr documentation built on Feb. 1, 2024, 10:57 p.m.