Updates 2.2.3

• Fix tests for R 3.4.0, as class(matrix) is of length 2.

Updates 2.2.2

Pkgdown

• A pkgdown documentation site is now available.

Renaming Functions

• Almost all functions have been renamed to have a consistent appearance and a clearer meaning. The old functions still exist, but are deprecated now.

  Renaming Overview

  Old names	New names
  StartGA	init_population
  selection1	selection
  crossover1	crossover
  VekWinkelCalc	get_dist_angles
  calculateEn	calculate_energy
  getRects	get_grids
  BaroHoehe	barometric_height
  GridFilter	grid_area
  HexaTex	hexa_area
  InfluPoints	turbine_influences
  genAlgo	genetic_algorithm
  RandomSearch	random_search
  RandomSearchTurb	random_search_single
  RandomSearchPlot	plot_random_search
  leafPlot	plot_leaflet
  heatmapGA	plot_heatmap
  plotbeorwor	plot_development
  plotCloud	plot_cloud
  plotEvolution	plot_evolution
  plotfitnessevolution	plot_fitness_evolution
  plotparkfitness	plot_parkfitness
  plotResult	plot_result
  PlotWindfarmGA	plot_windfarmGA
  plotWindrose	plot_windrose

Bugfixes / Other Changes

• The legend of plot_leaflet now works correctly.

• Some general linting / spell checking / performance optimization was done.

• The Weibull Raster (for Austria) are now in a separate Github-repository, instead of being stored in the package as .rda file. I guess this never worked except on my computer.

• The Corine Land Cover .tif file is also stored in that repository, as the EEA webpage did restrict downloads sometimes, which resulted in an error.

• The plot_farm_3d function has temporarily been removed from the package, as I was unhappy with the functionality, the installation of rayshader can be tedious and turbine labels can not be displayed very accurately.

• Most functions that required user-input previously used readline which is now changed to readLines as it allows to read from a file instead. This can be set via options(windfarmGA.connection = file()).

• A whole lot of tests were written.

Updates 2.2.1

Performance Tuning / Restructuring

• Switch to matrices instead of data.frames and a lot of restructuring and performance optimization of the whole algorithm.

Viewshed Analysis

• New set of functions, to analyze the visual impact of a wind farm.
  • cansee,
  • viewTo,
  • rasterprofile,
  • viewshed,
  • plot_viewshed,
  • interpol_view,
  • getISO3,
  • getDEM

Other Changes

• The function genAlgo/windfarmGA and the plotting functions now accept SimpleFeature Polygons or coordinates in table format with long, lat or x, y column names. The terrain effect model can now be activated only by setting topograp to TRUE and it will attempt to download the land cover raster from the European Environment Agency website.

• plot_farm_3d Experimental rayshader function

Updates 1.2.1

Randomization

The output of genAlgo or windfarmGA can be further randomized/optimized with the following functions: - RandomSearch - RandomSearchTurb

RandomSearch is used to randomize all turbines of the layout

RandomSearchTurb is used to randomize a single turbine

RandomSearchPlot is used to plot the output of those functions, comparing them with the original result.

load(file = system.file("extdata/resultrect.rda", package = "windfarmGA"))
load(file = system.file("extdata/polygon.rda", package = "windfarmGA"))
Res = RandomSearchTurb(result = resultrect, Polygon1 = polygon, n=10)
RandomSearchPlot(resultRS = Res, result = resultrect, Polygon1 = polygon, best=2)

Updates 1.2

Parallel Processing

## Runs the same optimization, but with parallel processing and 3 cores.
result_par <- genAlgo(Polygon1 = Polygon1, GridMethod ="h", n=12, Rotor=30,
                 fcrR=5,iteration=10, vdirspe = data.in,crossPart1 = "EQU",
                 selstate="FIX",mutr=0.8, Proportionality = 1,
                 SurfaceRoughness = 0.3, topograp = FALSE,
                 elitism=TRUE, nelit = 7, trimForce = TRUE,
                 referenceHeight = 50,RotorHeight = 100,
                 Parallel = TRUE, numCluster = 3)
PlotWindfarmGA(result = result_par, GridMethod = "h", Polygon1 = Polygon1)

Updates 1.1

Optimization with Hexagonal Grid Cells

result_hex <- genAlgo(Polygon1 = Polygon1, GridMethod ="h", n=12, Rotor=30,
                  fcrR=5,iteration=10, vdirspe = data.in,crossPart1 = "EQU",
                  selstate="FIX",mutr=0.8, Proportionality = 1,
                  SurfaceRoughness = 0.3, topograp = FALSE,
                  elitism=TRUE, nelit = 7, trimForce = TRUE,
                  referenceHeight = 50,RotorHeight = 100)
PlotWindfarmGA(result = result_hex, GridMethod = "h", Polygon1 = Polygon1)