Description Usage Arguments See Also Examples
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.
1 2 3 4 5 6 7 8 | 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 'k' and the second item must be the
scale parameter raster 'a' of the Weibull distribution. If no list is given,
then rasters included in the package are used instead, which currently only
cover Austria. This variable is only used if |
Other Plotting Functions:
interpol_view()
,
plot_cloud()
,
plot_development()
,
plot_evolution()
,
plot_fitness_evolution()
,
plot_heatmap()
,
plot_parkfitness()
,
plot_result()
,
plot_viewshed()
,
plot_windrose()
,
random_search_single()
1 2 3 4 5 6 7 8 9 10 11 12 13 | 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)
|
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