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Plot a heatmap of selected grid cells. Green grid cells have been selected more often than red grid cells.
plot_heatmap(result, si = 2, idistw)
The output of windfarmGA or genetic_algorithm
windfarmGA
genetic_algorithm
A numeric value that is used for the sizing of the resolution of the heatmap. Default is 2
The inverse distance weighting power. Default is the rotor radius from the 'result' values
Invisibly returns a list with the result of the inverse distance weighting and an aggregated dataframe of all grid cells
Other Plotting Functions: interpol_view(), plot_cloud(), plot_development(), plot_evolution(), plot_fitness_evolution(), plot_parkfitness(), plot_result(), plot_viewshed(), plot_windfarmGA(), plot_windrose(), random_search_single()
interpol_view()
plot_cloud()
plot_development()
plot_evolution()
plot_fitness_evolution()
plot_parkfitness()
plot_result()
plot_viewshed()
plot_windfarmGA()
plot_windrose()
random_search_single()
# NOT RUN { ## Plot the results of a hexagonal grid optimization plot_heatmap(resulthex) ## Plot the heatmap with different settings plot_heatmap(resulthex, si = 4, idistw = 2) # }
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