canvas_flow {aRtsy} R Documentation

Draw A Flow Field

Description

This function draws flow fields on a canvas. The algorithm simulates the flow of points through a field of angles which can be set manually or generated from the predictions of a supervised learning method (i.e., knn, svm, random forest) trained on randomly generated data.

Usage

canvas_flow(colors, background = "#fafafa", lines = 500, lwd = 0.05,
iterations = 100, stepmax = 0.01, polar = FALSE, angles = NULL)


Arguments

 colors a string or character vector specifying the color(s) used for the artwork. background a character specifying the color used for the background. lines the number of lines to draw. lwd expansion factor for the line width. iterations the maximum number of iterations for each line. stepmax the maximum proportion of the canvas covered in each iteration. polar logical. Whether to draw the flow field with polar coordinates. angles optional, a 200 x 200 matrix containing the angles in the flow field, or a character indicating the type of noise to use (svm, knn, rf, perlin, cubic, simplex, or worley). If NULL (the default), the noise type is chosen randomly.

Value

A ggplot object containing the artwork.

Author(s)

Koen Derks, koen-derks@hotmail.com

References

colorPalette

Examples


set.seed(1)

# Simple example
canvas_flow(colors = colorPalette("dark2"))

angles <- matrix(0, 200, 200)
angles[1:100, ] <- seq(from = 0, to = 2 * pi, length = 100)
angles[101:200, ] <- seq(from = 2 * pi, to = 0, length = 100)
angles <- angles + rnorm(200 * 200, sd = 0.1)
canvas_flow(
colors = colorPalette("tuscany1"), background = "black",
angles = angles, lwd = 0.4, lines = 1000, stepmax = 0.001
)

# Polar example
canvas_flow(colors = colorPalette("vrolik2"), lines = 300, lwd = 0.5, polar = TRUE)



[Package aRtsy version 0.1.8 Index]