Runs the SLIC workflow and returns a raster of supercell IDs
IDs are 1-based and are unique across chunks when chunking is used
For polygon outputs, use sc_slic(); for point centers, use sc_slic_points()
Usage
sc_slic_raster(
x,
step = NULL,
compactness,
dist_fun = "euclidean",
avg_fun = "mean",
clean = TRUE,
minarea,
iter = 10,
k = NULL,
centers = NULL,
outcomes = "supercells",
chunks = FALSE,
verbose = 0
)Arguments
- x
An object of class SpatRaster (terra) or class stars (stars).
- step
Initial center spacing (alternative is
k). Provide a plain numeric value for cell units, or useuse_meters()for map-distance steps in meters (automatically converted to cells using raster resolution).- compactness
A compactness value. Use
sc_tune_compactness()to estimate it. Useuse_adaptive()to enable adaptive compactness (SLIC0).- dist_fun
A distance function name or a custom function. Supported names: "euclidean", "jsd", "dtw", "dtw2d", or any method from
philentropy::getDistMethods(). A custom function must accept two numeric vectors and return a single numeric value.- avg_fun
An averaging function name or custom function used to summarize values within each supercell. Supported names: "mean" and "median". A custom function must accept a numeric vector and return a single numeric value.
- clean
Should connectivity of the supercells be enforced?
- minarea
Minimal size of a supercell (in cells).
- iter
Number of iterations.
- k
The number of supercells desired (alternative to
step).- centers
Optional sf object of custom centers. Requires
step.- outcomes
Character vector controlling which fields are returned. Only
"supercells"is supported insc_slic_raster().- chunks
Chunking option. Use
FALSEfor no chunking,TRUEfor automatic chunking based on size, or a numeric value for a fixed chunk size (in number of cells per side).- verbose
Verbosity level.
Examples
library(supercells)
vol = terra::rast(system.file("raster/volcano.tif", package = "supercells"))
vol_ids = sc_slic_raster(vol, step = 8, compactness = 1)
terra::plot(vol_ids)
