plot_windfarmGA | R Documentation |
Plot the results of a genetic algorithm run with given inputs. Several plots try to show all relevant effects and outcomes of the algorithm. 6 plot methods are available that can be selected individually.
plot_windfarmGA(
result,
Polygon1,
whichPl = "all",
best = 1,
plotEn = 1,
weibullsrc
)
result |
The output of |
Polygon1 |
The considered area as SpatialPolygon, SimpleFeature Polygon or coordinates as matrix/data.frame |
whichPl |
Which plots should be shown: 1-6 are possible. The default is "all" which shows all available plots |
best |
A numeric value indicating how many of the best individuals should be plotted |
plotEn |
A numeric value that indicates if the best energy or efficiency
output should be plotted. |
weibullsrc |
A list of Weibull parameter rasters, where the first list
item must be the shape parameter raster |
Returns NULL. Used for plotting
Other Plotting Functions:
plot_cloud()
,
plot_development()
,
plot_evolution()
,
plot_fitness_evolution()
,
plot_parkfitness()
,
plot_result()
,
plot_windrose()
,
random_search_single()
## Not run:
library(sf)
Polygon1 <- 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_windfarmGA(resulthex, Polygon1, whichPl = "all", best = 1, plotEn = 1)
## Plot the results of a rectangular grid optimization
plot_windfarmGA(resultrect, Polygon1, whichPl = "all", best = 1, plotEn = 1)
## End(Not run)
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