aRtsy (version 0.2.4)

canvas_tiles: Draw Portuguese Tiles

Description

This function uses a reaction diffusion algorithm in an attempt to draw a Portuguese-styled tiling pattern.

Usage

canvas_tiles(
  colors,
  background = "#ffffff",
  iterations = 1000,
  size = 5,
  col.line = "#000000",
  resolution = 100,
  layout = NULL
)

Value

A ggplot object containing the artwork.

Arguments

colors

a string or character vector specifying the color(s) used for the artwork, or a list containing a set of colors for each unique tile on the wall.

background

a character specifying the color of the background.

iterations

a positive integer specifying the number of iterations of the algorithm.

size

a positive integer specifying how many tiles should be in each row of the wall.

col.line

a character specifying the color of the joints between the tiles.

resolution

resolution of the artwork in pixels per row/column. Increasing the resolution increases the quality of the artwork but also increases the computation time exponentially.

layout

optional. A matrix containing integers ranging from 1 to the maximum number of unique tiles (i.e., length(colors)) specifying the placement of the tiles on the wall.

Author

Koen Derks,

References

https://en.wikipedia.org/wiki/Reaction–diffusion_system

See Also

colorPalette

Examples

# \donttest{
set.seed(3)

# Simple example
canvas_tiles(colors = colorPalette("azul"), iterations = 5000)

# Advanced example
canvas_tiles(colors = list(
  colorPalette("blossom"),
  colorPalette("neon1"),
  colorPalette("dark1")
))

# Custom layout
layout <- matrix(c(
  1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
  1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
  1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 1,
  1, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1,
  1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1,
  1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1,
  1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1,
  1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1,
  1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1,
  1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
  1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
), nrow = 11, byrow = TRUE)
canvas_tiles(
  colors = list(colorPalette("azul"), colorPalette("blossom")),
  size = nrow(layout), layout = layout
)

# Another custom layout
set.seed(11)
layout <- matrix(c(
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 1, 2, 2, 3, 3, 2, 2, 4, 4, 4, 2, 5, 5, 5, 2, 6, 2, 6, 2,
  2, 1, 2, 1, 2, 3, 2, 3, 2, 2, 4, 2, 2, 5, 2, 2, 2, 6, 2, 6, 2,
  2, 1, 1, 1, 2, 3, 3, 2, 2, 2, 4, 2, 2, 2, 5, 2, 2, 2, 6, 2, 2,
  2, 1, 2, 1, 2, 3, 2, 3, 2, 2, 4, 2, 5, 5, 5, 2, 2, 2, 6, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
  2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2
), nrow = 21, byrow = TRUE)
canvas_tiles(
  colors = list(
    colorPalette("blossom"),
    colorPalette("azul"),
    colorPalette("neon1"),
    colorPalette("mixer4"),
    colorPalette("neon2"),
    colorPalette("vrolik1"),
    colorPalette("blackwhite")
  ),
  iterations = 2000,
  size = nrow(layout), layout = layout
)
# }