ParallelDSM: Parallel Digital Soil Mapping using Machine Learning

Parallel computing, multi-core CPU is used to efficiently compute and process multi-dimensional soil data.This package includes the parallelized 'Quantile Regression Forests' algorithm for Digital Soil Mapping and is mainly dependent on the package 'quantregForest' and 'snowfall'. Detailed references to the R package and the web site are described in the methods, as detailed in the method documentation.

Version: 0.3.7
Depends: R (≥ 3.5.0), snowfall, raster, sp
Imports: methods, pryr, utils, caret, gstat, quantregForest, randomForest, stringr, rgdal, stats
Published: 2022-11-16
Author: Xiaodong Song [aut], Peicong Tang [aut, cre], Wentao Zhu [aut], Gaoqiang Ge [aut], Jun Zhu [aut], Ganlin Zhang [aut]
Maintainer: Peicong Tang <peicongtang0409 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ParallelDSM results


Reference manual: ParallelDSM.pdf


Package source: ParallelDSM_0.3.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ParallelDSM_0.3.7.tgz, r-oldrel (arm64): ParallelDSM_0.3.7.tgz, r-release (x86_64): ParallelDSM_0.3.7.tgz, r-oldrel (x86_64): ParallelDSM_0.3.7.tgz
Old sources: ParallelDSM archive


Please use the canonical form to link to this page.