Package: supercells 1.0.3

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.

Authors:Jakub Nowosad [aut, cre], Pascal Mettes [ctb], Charles Jekel [ctb]

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supercells.pdf |supercells.html✨
supercells/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/nowosad/supercells/issues

On CRAN:

rspatialspatial

1 exports 65 stars 3.71 score 24 dependencies 42 scripts 470 downloads

Last updated 19 days agofrom:394d1a4c98. Checks:OK: 9. Indexed: yes.

Exports:supercells

Dependencies:classclassIntcodetoolscpp11DBIdigeste1071futurefuture.applyglobalsKernSmoothlistenvmagrittrMASSparallellyphilentropypoormanproxyRcpps2sfterraunitswk