Plot the results of an optimization run

Draw the useful summary plots of a GA run, one after another: best layout, fitness, operator rates, population, cells, efficiency, and the cell heatmap. In an interactive session every page waits for Enter so nothing is overwritten in the Plots pane.

Usage

plot_windfarmGA(
  result,
  area,
  which_plot = "all",
  best = 1,
  plot_en = 1,
  weibull_src = NULL,
  ask = NULL,
  plotly = NULL
)

Arguments

result

The output of genetic_algorithm

area

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

which_plot

"all" (default) shows result, progress, population and heatmap. Or a character vector ("result", "progress", "population", "heatmap", "evolution") or the numbers 1-4.

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

weibull_src

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

ask

If TRUE, wait for Enter between pages. Default is TRUE in an interactive session.

plotly

If TRUE, draw fitness and rates with plotly (hover). Used only when ask is FALSE and plotly is installed.

Value

Returns NULL. Used for plotting

See also

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

Examples

if (FALSE) { # \dontrun{
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_windfarmGA(resulthex, area)
plot_windfarmGA(resultrect, area, which_plot = "progress")
} # }