Plot a wind warm with leaflet — plot

Plot a resulting wind farm on a leaflet map. Wakes are downwind cones (Jensen search angle), not circles. Terrain rasters from result$terrainModel are optional overlay layers.

Usage

plot_leaflet(
  result,
  area,
  which = 1,
  orderitems = TRUE,
  grid = NULL,
  wind = NULL,
  terrain = NULL
)

Arguments

result: The output of genetic_algorithm
area: Site polygon (sf, SpatialPolygons, or coordinate matrix). Must be projected in metres.
which: A numeric value, indicating which individual to plot. The default is 1. Combined with orderitems = TRUE this will show the best performing wind farm.
orderitems: A logical value indicating whether the results should be ordered by energy values TRUE or chronologically FALSE
grid: Optional grid polygons. By default they are rebuilt from result and area. You can pass the polygon element of grid_area() or hexa_area().
wind: Optional wind table (ws, wd, probab). Defaults to the table stored in result.
terrain: Optional output of leaflet_prepare_terrain(). Defaults to result$terrainModel when present.

Value

Returns a leaflet map.

Examples

if (FALSE) { # \dontrun{
## Plot the best wind farm on a leaflet map (ordered by energy values)
plot_leaflet(result = resulthex, area = sp_polygon, which = 1)

## Plot the last wind farm (ordered by chronology).
plot_leaflet(
  result = resulthex, area = sp_polygon, orderitems = FALSE,
  which = 1
)

## Plot the best wind farm on a leaflet map with the rectangular Grid
Grid <- grid_area(sp_polygon, size = 150, prop = 0.4)
plot_leaflet(
  result = resultrect, area = sp_polygon, which = 1,
  grid = Grid[[2]]
)

## Plot the last wind farm with hexagonal Grid
Grid <- hexa_area(sp_polygon, size = 75)
plot_leaflet(
  result = resulthex, area = sp_polygon, which = 1,
  grid = Grid[[2]]
)
} # }