Function reference • windfarmGA

Package Documentation

windfarmGA_: windfarmGA

Run an Optimization

genetic_algorithm(): Run a Genetic Algorithm to optimize a wind farm layout

windfarmGA(): Run a Genetic Algorithm to optimize a wind farm layout

Genetic Algorithm Components

Main components of the genetic algorithm

init_population(): Create a random initial Population

selection(): Selection Method

fitness(): Evaluate the Individual Fitness values

crossover(): Crossover Method

mutation(): Mutation Method

trimton(): Adjust the amount of turbines per windfarm

Wind Energy Calculation Functions

barometric_height(): Calculates Air Density, Air Pressure and Temperature according to the Barometric Height Formula

get_dist_angles(): Calculate distances and angles of possibly influencing turbines

turbine_influences(): Find potentially influencing turbines

calculate_energy(): Calculate Energy Outputs of Individuals

Randomization

random_search(): Randomize the output of the Genetic Algorithm

random_search_single(): Randomize the location of a single turbine

plot_random_search(): Plot the result of a randomized output.

Plotting Functions

plot_cloud(): Plot outputs of all generations with standard deviations

plot_development(): Plot the progress of populations

plot_evolution(): Plot the evolution of fitness values

plot_fitness_evolution(): Plot the changes of min/mean/max fitness values

plot_heatmap(): Plot a heatmap of selected grid cells

plot_leaflet(): Plot a wind warm with leaflet

plot_parkfitness(): Plot the genetic algorithm results

plot_random_search(): Plot the result of a randomized output.

plot_result(): Plot the best results

plot_viewshed(): Plot viewshed results

plot_windfarmGA(): Plot the results of an optimization run

plot_windrose(): Plot a Windrose

interpol_view(): Plot an interpolated viewshed

Viewshed Analysis Functions

cansee(): Calculate Visibility between 2 locations

rasterprofile(): Sample values from a raster

viewshed(): Calculate visibility

viewTo(): Calculate Visibility between multiple locations

interpol_view(): Plot an interpolated viewshed

plot_viewshed(): Plot viewshed results

Helper Functions

get_grids(): Get the Grid-IDs from binary matrix

grid_area(): Make a grid from a Simple Feature Polygon

hexa_area(): Polygon to Hexagonal Grids

windata_format(): Transform Winddata

isSpatial(): Transform to Simple Feature Polygons

permutations(): Enumerate the Combinations or Permutations of the Elements of a Vector

readinteger(): Check Input Crossover Method

readintegerSel(): Check Input Selection Method

splitAt(): Split matrices or numeric vectors at specific indices

dup_coords(): Splits duplicated coords (copy of geoR::dup.coords)

getDEM(): Get DEM raster

getISO3(): getISO3

Datasets

Results and Shapefiles included in the package.

resultrect: A resulting matrix of genetic_algorithm with 200 iterations and a rectangular grid derived from sp_polygon

resulthex: A resulting matrix of genetic_algorithm with 10 iterations and a hexagonal grid derived from sp_polygon

sp_polygon: The rectangular POLYGON used to create resultrect & resulthex

big_shape: A POLYGON with an area of ~70 km2

hole_shape: A POLYGON with a hole

multi_shape: A MULTIPOLYGON with 3 Polygons