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Create visualizations of per-site accumulation metrics.

Usage

# S3 method for class 'spacc_metrics'
plot(
  x,
  metric = NULL,
  type = c("heatmap", "points", "histogram"),
  point_size = 3,
  palette = "viridis",
  ...
)

Arguments

x

A spacc_metrics object from spaccMetrics().

metric

Character. Which metric to plot. Default is first metric.

type

Character. Plot type:

"heatmap"

Spatial heatmap colored by metric value

"points"

Simple point plot (same as heatmap but clearer name)

"histogram"

Distribution of metric values

point_size

Numeric. Size of points in heatmap. Default 3.

palette

Character. Color palette for heatmap. One of "magma" (A), "inferno" (B), "plasma" (C), "viridis" (D, default), "cividis" (E), "rocket" (F), "mako" (G), "turbo" (H). Single letters also accepted.

...

Additional arguments (unused).

Value

A ggplot2 object.

Examples

# \donttest{
coords <- data.frame(x = runif(50), y = runif(50))
species <- matrix(rbinom(50 * 30, 1, 0.3), nrow = 50)
metrics <- spaccMetrics(species, coords, metrics = c("slope_10", "auc"))
plot(metrics, metric = "slope_10", type = "heatmap")
# }