df.procur

A dataset containing the df.procur and other attributes of almost 212000
df.procur The variables are as follows:

datasets

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.

Peicong Tang

ParallelDSM

Parallel Digital Soil Mapping using Machine Learning

Xiaodong Song

Wentao Zhu

Gaoqiang Ge

Jun Zhu

Ganlin Zhang

df.procur function

A data frame with 211415 rows and 3 variables:<dl>
<dt>procur</dt>
<dd>data variable PROCUR</dd><dt>x</dt>
<dd>The coordinate variable x</dd><dt>y</dt>
<dd>The coordinate variable y</dd>
</dl>

Format

Sampling test data of the procur — df.procur

A data frame with 211415 rows and 3 variables:<dl>
<dt>procur</dt>
<dd>data variable PROCUR</dd>

<dt>x</dt>
<dd>The coordinate variable x</dd>

<dt>y</dt>
<dd>The coordinate variable y</dd>


</dl>

df.procur: Sampling test data of the procur

Description

Usage

Arguments

Format