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.

Getting started

Package details

AuthorXiaodong Song [aut], Peicong Tang [aut, cre], Wentao Zhu [aut], Gaoqiang Ge [aut], Jun Zhu [aut], Ganlin Zhang [aut]
MaintainerPeicong Tang <peicongtang0409@163.com>
LicenseGPL (>= 2)
Version0.3.7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ParallelDSM")

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ParallelDSM documentation built on Nov. 16, 2022, 9:05 a.m.