Changelog

Source: NEWS.md

supercells 1.8

• compactness = "auto" enables SLIC0-style adaptive compactness
• Metrics now support SLIC0 adaptive compactness (pixels/supercells/global)
• sc_tune_compactness() returns only step + one compactness, selected by metrics = "global" or "local"
• Chunked raster IDs now use a consistent center-count offset strategy

supercells 1.7

• Added sc_tune_compactness() to estimate compactness from a short SLIC run
• Metrics API cleanup: renamed sc_metrics_clusters() to sc_metrics_supercells(), unified metric names, _scaled suffix for scaled outputs
• Balance metrics now use absolute log ratio of scaled value/spatial distances
• iter = 0 only works for point outputs; polygons/rasters error with guidance
• sc_slic()/sc_slic_points()/sc_slic_raster() dropped the transform argument; legacy supercells() keeps transform = "to_LAB"
• New step_unit supports map-unit step sizes
• Chunking improvements: conservative memory estimates, options(supercells.chunk_mem_gb), chunk sizes align to step, deterministic ID offsets with file-backed merge
• Verbose argument moved to the end in R and C++ APIs
• Empty-cluster handling now consistent across cleanup
• Removed future-based parallel chunking

supercells 1.6

• Spatial distance uses precise (fractional) center positions; neighborhood search still uses rounded centers (minor output differences are expected vs 1.5)
• More robust center handling (custom centers, empty centers) and safer cleanup for small regions
• Local-minimum search improved
• Tests standardized via tests/testthat/setup.R and updated expectations

supercells 1.5

• Major C++ SLIC refactor (clearer data flow, diagnostics support) with supporting utility cleanup
• Standardized sc_slic(), sc_slic_points(), sc_slic_raster() with consistent options/metadata/chunking; sc_slic() is now the main entry point
• Added diagnostics API (sc_metrics_pixels(), sc_metrics_clusters(), sc_metrics_global()) and iter_diagnostics + sc_plot_iter_diagnostics()
• Centralized internal helpers for validation, chunking, and normalization
• Expanded regression and metrics tests

supercells 1.0.3

• C++ code improvements (Avoid implicit conversion from sexp to double, see #39)
• Improves documentation of the fun_avg argument (see #41)

supercells 1.0.2

• Fixes centroid coordinates (see #32)

supercells 1.0.0

CRAN release: 2024-02-11

• Added a NEWS.md file to track changes to the package.
• This version is a stable one as described in Nowosad and Stepinski (2022)