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ParallelDSM  

Parallel Digital Soil Mapping using Machine Learning
View on CRAN: Click here


Download and install ParallelDSM package within the R console
Install from CRAN:
install.packages("ParallelDSM")

Install from Github:
library("remotes")
install_github("cran/ParallelDSM")

Install by package version:
library("remotes")
install_version("ParallelDSM", "0.3.7")



Attach the package and use:
library("ParallelDSM")
Maintained by
Peicong Tang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-04
Latest Update: 2022-11-16
Description:
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.
How to cite:
Peicong Tang (2020). ParallelDSM: Parallel Digital Soil Mapping using Machine Learning. R package version 0.3.7, https://cran.r-project.org/web/packages/ParallelDSM. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1 (2020-11-04 12:40), 0.2.1 (2021-05-21 11:00), 0.2 (2021-05-20 10:30), 0.3.1 (2021-06-25 08:10), 0.3.2 (2022-05-13 09:30), 0.3.3 (2022-07-01 16:40), 0.3.4 (2022-07-05 16:20), 0.3.5 (2022-08-13 17:10), 0.3.6 (2022-11-02 17:55), 0.3.7 (2022-11-16 09:20)
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