simulate_multiscale_overlap: Simulate Multiple Center Patterns with Fixed Centers

In BioGSP: Biological Graph Signal Processing for Spatial Data Analysis

Simulate Multiple Center Patterns with Fixed Centers

Description

Generate spatial patterns with multiple circular centers at fixed positions. Similar to simulate_multiscale but with centers placed at fixed locations for reproducible pattern generation. Creates concentric circle patterns with inner circle A and outer ring B at various radius combinations.

Usage

simulate_multiscale_overlap(
  grid_size = 60,
  n_centers = 3,
  Ra_seq = c(10, 5, 1),
  Rb_seq = c(10, 5, 1),
  seed = NULL,
  verbose = TRUE
)

Arguments

grid_size	Size of the spatial grid (default: 60)
n_centers	Number of pattern centers to generate. If 1, center is placed at grid center. If > 1, centers are randomly placed but fixed by seed (default: 3)
Ra_seq	Vector of inner circle radii (default: c(10, 5, 1))
Rb_seq	Vector of outer ring radii (default: c(10, 5, 1))
seed	Random seed for reproducible center placement (default: 123)
verbose	Logical; if TRUE, show progress bar and messages (default: TRUE)

Value

List of data frames, each containing X, Y coordinates and signal_1, signal_2 binary signals

Examples

# Generate multi-center patterns with fixed centers
patterns <- simulate_multiscale_overlap()

# Single center at grid center
patterns_single <- simulate_multiscale_overlap(n_centers = 1)

# Custom parameters with multiple centers
Ra_seq <- seq(from = 10, to = 3, length.out = 4)
Rb_seq <- seq(from = 15, to = 2, length.out = 4)
patterns <- simulate_multiscale_overlap(
  Ra_seq = Ra_seq, 
  Rb_seq = Rb_seq, 
  n_centers = 2,
  seed = 456
)

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