plot

classPlot

plot_scatter

Plot
Class Plot
Scatter Plot

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

plot function

<dl><dt>dfc</dt>
<dd>data.frame. Values for mraster and mraster2</dd>
<dt>coordsgrps</dt>
<dd>List. Cartesian coordinates of each strata</dd>
<dt>mraster</dt>
<dd>Spatraster. Raster to stratify. Layers in <code>mraster</code> must match the number of
<code>breaks</code> vectors provided.</dd>
<dt>samp</dt>
<dd>Numeric. Determines proportion of cells to plot</dd>
<dt>existing</dt>
<dd>sf 'POINT'. Existing plot network.</dd>
<dt>reverse</dt>
<dd>Logical. Reverse x and y axis</dd></dl>

Arguments

Plot — plot

<dl>

<dt>dfc</dt>
<dd>data.frame. Values for mraster and mraster2</dd>


<dt>coordsgrps</dt>
<dd>List. Cartesian coordinates of each strata</dd>


<dt>mraster</dt>
<dd>Spatraster. Raster to stratify. Layers in <code>mraster</code> must match the number of
<code>breaks</code> vectors provided.</dd>


<dt>samp</dt>
<dd>Numeric. Determines proportion of cells to plot</dd>


<dt>existing</dt>
<dd>sf 'POINT'. Existing plot network.</dd>


<dt>reverse</dt>
<dd>Logical. Reverse x and y axis</dd>

</dl>

plot: Plot

Description

Usage

Value

Arguments