windfarmGA (version 5.0.0)

plot_result: Plot the best results

Description

Draw the best layout(s) on the site. Turbine labels are the total wake in percent. Default is the single best energy layout.

Usage

plot_result(
  result,
  area,
  best = 1,
  plot_en = 1,
  terrain = FALSE,
  plot_grid = TRUE,
  ccl_roughness = NULL,
  ccl = NULL,
  weibull_src = NULL
)

Value

Returns a data.frame of the best (energy/efficiency) individual during all iterations

Arguments

result

The output of genetic_algorithm

area

Site polygon (sf, SpatialPolygons, or coordinate matrix). Must be projected in metres.

best

How many distinct best layouts to draw. Default is 1.

plot_en

A numeric value that indicates if the best energy or efficiency output should be plotted. 1 plots the best energy solutions and 2 plots the best efficiency solutions

terrain

Draw terrain rasters for the best layout. Reuses result$terrainModel when present; TRUE downloads only if nothing is stored. A DEM raster rebuilds the model.

plot_grid

If TRUE (default) the used grid is added. You can also pass another Simple Feature object

ccl_roughness

Path to the CLC legend CSV (Rauhigkeit_z column).

ccl

Path to a Corine Land Cover raster when terrain is on.

weibull_src

list(k, a) shape and scale rasters (e.g. Global Wind Atlas combined-Weibull-k / combined-Weibull-A).

See Also

Other Plotting Functions: generation_layouts(), plot_cell_heatmap(), plot_cloud(), plot_development(), plot_evolution(), plot_generation(), plot_parkfitness(), plot_population(), plot_windfarmGA(), plot_windrose(), population_census(), random_search_single()

Examples

if (FALSE) {
## Add some data examples from the package
library(sf)
area <- sf::st_as_sf(sf::st_sfc(
  sf::st_polygon(list(cbind(
    c(4498482, 4498482, 4499991, 4499991, 4498482),
    c(2668272, 2669343, 2669343, 2668272, 2668272)
  ))),
  crs = 3035
))

## Plot the results of a hexagonal grid optimization
plot_result(resulthex, area, best = 1, plot_en = 1, terrain = FALSE)

## Plot the results of a rectangular grid optimization
plot_result(resultrect, area, best = 1, plot_en = 1, terrain = FALSE)
}