take_samples

This function takes a data frame of existing data, a data frame of desired sample sizes
for each strata, and a strata variable name, and returns a sample of the existing data
based on the sample sizes for the specified strata.

internal

Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means
to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information
about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management
practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data
distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used,
enabling data-driven stratifications and sampling approaches.

Tristan RH Goodbody

sgsR

Structurally Guided Sampling

Nicholas C Coops

Martin Queinnec

take_samples function

<dl><dt>existing</dt>
<dd>A data frame containing existing data.</dd>
<dt>toSample</dt>
<dd>A data frame specifying the desired sample sizes for each strata.</dd>
<dt>strata</dt>
<dd>A string specifying the name of the variable used to define strata.</dd></dl>

Arguments

Take Samples Based on Strata — take_samples

<dl>

<dt>existing</dt>
<dd>A data frame containing existing data.</dd>


<dt>toSample</dt>
<dd>A data frame specifying the desired sample sizes for each strata.</dd>


<dt>strata</dt>
<dd>A string specifying the name of the variable used to define strata.</dd>

</dl>

take_samples: Take Samples Based on Strata

Description

Usage

Value

Arguments