CRAN/E | ParallelDSM

ParallelDSM

Parallel Digital Soil Mapping using Machine Learning

Installation

About

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.

Key Metrics

Version 0.3.7
R ≥ 3.5.0
Published 2022-11-16 526 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Peicong Tang

peicongtang0409@163.com

Authors

Xiaodong Song

aut

Peicong Tang

aut / cre

Wentao Zhu

aut

Gaoqiang Ge

aut

Jun Zhu

aut

Ganlin Zhang

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ParallelDSM archive

Depends

R ≥ 3.5.0
snowfall
raster
sp

Imports

methods
pryr
utils
caret
gstat
quantregForest
randomForest
stringr
rgdal
stats