Map AttrPAM descriptor layers

Maps each descriptor column returned by lets.attrcells back onto the attribute raster template (x$Attr_Richness_Raster). Optionally returns the rasters without plotting.

Usage

lets.plot.attrcells(x, y, ras = FALSE, plot_ras = TRUE, col_func = NULL)

Arguments

x

A list returned by lets.attrpam (must contain $Attr_Richness_Raster and $PAM_attribute).

y

A data.frame returned by lets.attrcells, with one row per attribute cell (aligned with x).

ras

Logical; if TRUE, returns a named list of SpatRaster layers for each descriptor column (default FALSE).

plot_ras

Logical; if TRUE, plots each raster (default TRUE).

col_func

A custom color ramp palette function to use for plotting variables (e.g., from colorRampPalette).

Value

Invisibly returns NULL. If ras = TRUE, returns a named list of SpatRaster layers (one per descriptor column).

Details

Plot attribute-cell descriptors as rasters

Rows with zero or NA richness are masked before plotting, to avoid edge artifacts from empty attribute cells. The plotting grid defaults to par(mfrow = c(4, 2)); adjust as needed.

Examples

if (FALSE) { # \dontrun{
# Example with simulated traits
n <- 2000
Species <- paste0("sp", 1:n)
trait_a <- rnorm(n)
trait_b <- trait_a * 0.2 + rnorm(n)  # correlated trait
df <- data.frame(Species, trait_a, trait_b)

# Build AttrPAM
x <- lets.attrpam(df, n_bins = 30)

# Compute descriptors
y <- lets.attrcells(x)

# Plot descriptors
lets.plot.attrcells(x, y)
} # }