Crandore Hub

supercells

Superpixels of Spatial Data

Creates superpixels based on input spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters). It is based on the SLIC algorithm (Achanta et al. (2012) <doi:10.1109/TPAMI.2012.120>), and readapts it to work with arbitrary dissimilarity measures.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 supercells_1.0.0.tar.gz 604.1 KiB
1.0.0 rolling linux/noble R-4.5 supercells_1.0.0.tar.gz 606.2 KiB
1.0.0 rolling source/ R- supercells_1.0.0.tar.gz 549.2 KiB
1.0.0 latest linux/jammy R-4.5 supercells_1.0.0.tar.gz 604.1 KiB
1.0.0 latest linux/noble R-4.5 supercells_1.0.0.tar.gz 606.2 KiB
1.0.0 latest source/ R- supercells_1.0.0.tar.gz 549.2 KiB
1.0.0 2026-04-26 source/ R- supercells_1.0.0.tar.gz 549.2 KiB
1.0.0 2026-04-23 source/ R- supercells_1.0.0.tar.gz 549.2 KiB
1.0.0 2026-04-09 windows/windows R-4.5 supercells_1.0.0.zip 687.4 KiB
1.0.0 2025-04-20 source/ R- supercells_1.0.0.tar.gz 549.2 KiB

Dependencies (latest)

Imports

LinkingTo

Suggests