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]

supercells_1.0.3.tar.gz
supercells_1.0.3.zip(r-4.5)supercells_1.0.3.zip(r-4.4)supercells_1.0.3.zip(r-4.3)
supercells_1.0.3.tgz(r-4.5-x86_64)supercells_1.0.3.tgz(r-4.5-arm64)supercells_1.0.3.tgz(r-4.4-x86_64)supercells_1.0.3.tgz(r-4.4-arm64)supercells_1.0.3.tgz(r-4.3-x86_64)supercells_1.0.3.tgz(r-4.3-arm64)
supercells_1.0.3.tar.gz(r-4.5-noble)supercells_1.0.3.tar.gz(r-4.4-noble)
supercells_1.0.3.tgz(r-4.4-emscripten)supercells_1.0.3.tgz(r-4.3-emscripten)
supercells.pdf |supercells.html
supercells/json (API)
NEWS

# Install 'supercells' in R:
install.packages('supercells', repos = c('https://nowosad.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown site:https://jakubnowosad.com

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

rspatialspatialcpp

6.58 score 68 stars 53 scripts 403 downloads 1 exports 24 dependencies

Last updated 6 months agofrom:394d1a4c98. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-win-x86_64OKJan 27 2025
R-4.5-mac-x86_64OKJan 27 2025
R-4.5-mac-aarch64OKJan 27 2025
R-4.5-linux-x86_64OKJan 27 2025
R-4.4-win-x86_64OKJan 27 2025
R-4.4-mac-x86_64OKJan 27 2025
R-4.4-mac-aarch64OKJan 27 2025
R-4.3-win-x86_64OKJan 27 2025
R-4.3-mac-x86_64OKJan 27 2025
R-4.3-mac-aarch64OKJan 27 2025

Exports:supercells

Dependencies:classclassIntcodetoolscpp11DBIdigeste1071futurefuture.applyglobalsKernSmoothlistenvmagrittrMASSparallellyphilentropypoormanproxyRcpps2sfterraunitswk