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: 0.3.1
Depends: R (≥ 3.5.0), snowfall, raster, sp
Imports: methods, pryr, utils, caret, geoR, gstat, quantregForest, randomForest, stringr, rgdal, stats
Published: 2021-06-25
Author: Xiaodong Song [aut], Gaoqiang Ge [aut, cre], Jun Zhu [aut], Ganlin Zhang [aut]
Maintainer: Gaoqiang Ge <gaoqiangge2020 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ParallelDSM results


Reference manual: ParallelDSM.pdf
Package source: ParallelDSM_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ParallelDSM_0.2.1.tgz, r-release (x86_64): ParallelDSM_0.2.1.tgz, r-oldrel: ParallelDSM_0.2.1.tgz
Old sources: ParallelDSM archive


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