visualize_stripe_patterns: Visualize Stripe Pattern Simulation Results

In BioGSP: Biological Graph Signal Processing for Spatial Data Analysis

Visualize Stripe Pattern Simulation Results

Description

Create visualization plots for stripe pattern simulation results

Usage

visualize_stripe_patterns(
  sim_data,
  gap_seq,
  width_seq,
  theta_seq,
  bg_color = "grey",
  signal1_color = "#1f6f8b",
  signal2_color = "#e67e22",
  overlap_color = "#7a4dbf",
  show_title = TRUE
)

Arguments

sim_data	Output from simulate_stripe_patterns function
gap_seq	Vector of gap values used in simulation
width_seq	Vector of width values used in simulation
theta_seq	Vector of theta (rotation angle) values used in simulation
bg_color	Background color for plots (default: "grey")
signal1_color	Color for signal 1 (default: "#1f6f8b")
signal2_color	Color for signal 2 (default: "#e67e22")
overlap_color	Color for overlapping regions (default: "#7a4dbf")
show_title	Logical; if TRUE (default), add titles to plots with parameter values

Value

Combined ggplot object with all pattern visualizations

Examples

# Generate and visualize patterns
sim_data <- simulate_stripe_patterns(
  grid_size = 80,
  gap_seq = c(10, 20),
  width_seq = c(5, 10, 20),
  theta_seq = c(0, 30, 60)
)
plot_grid <- visualize_stripe_patterns(sim_data, 
                                       gap_seq = c(10, 20),
                                       width_seq = c(5, 10, 20),
                                       theta_seq = c(0, 30, 60))
print(plot_grid)

BioGSP documentation built on Feb. 2, 2026, 5:06 p.m.