plot_cell_heatmap

Count how often each grid cell appeared in an evaluated layout
over all generations (<code>allCoords</code> in the GA result). Never-tried cells
stay light gray. Useful to see whether the search covered the area or
stuck to a few sites.

The genetic algorithm is designed to optimize wind farms of any shape. Each layout is encoded as n unique grid-cell identifiers. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Sebastian Gatscha

windfarmGA

Genetic Algorithm for Wind Farm Layout Optimization

plot_cell_heatmap function

<dl><dt>result</dt>
<dd>The output of <code>genetic_algorithm</code></dd>
<dt>area</dt>
<dd>Site polygon (<code>sf</code>, SpatialPolygons, or coordinate matrix).
Must be projected in metres.</dd>
<dt>log</dt>
<dd>If <code>TRUE</code>, color the counts on a <code>log1p</code> scale so a few elite
cells do not dominate the palette. Default is <code>TRUE</code></dd>
<dt>plot</dt>
<dd>Deprecated alias for <code>plot</code>.</dd></dl>

Arguments

Heatmap of probed grid cells — plot_cell_heatmap

<dl>

<dt>result</dt>
<dd>The output of <code>genetic_algorithm</code></dd>


<dt>area</dt>
<dd>Site polygon (<code>sf</code>, SpatialPolygons, or coordinate matrix).
Must be projected in metres.</dd>


<dt>log</dt>
<dd>If <code>TRUE</code>, color the counts on a <code>log1p</code> scale so a few elite
cells do not dominate the palette. Default is <code>TRUE</code></dd>


<dt>plot</dt>
<dd>Deprecated alias for <code>plot</code>.</dd>

</dl>

plot_cell_heatmap: Heatmap of probed grid cells

Description

Usage

Value

Arguments

See Also

Examples