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-4.4-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'))

Peer review:

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

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

On CRAN:

rspatialspatial

6.61 score 66 stars 46 scripts 368 downloads 1 exports 24 dependencies

Last updated 3 months agofrom:394d1a4c98. Checks:OK: 8 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-win-x86_64ERROROct 29 2024
R-4.5-linux-x86_64OKOct 29 2024
R-4.4-win-x86_64OKOct 29 2024
R-4.4-mac-x86_64OKOct 29 2024
R-4.4-mac-aarch64OKOct 29 2024
R-4.3-win-x86_64OKOct 29 2024
R-4.3-mac-x86_64OKOct 29 2024
R-4.3-mac-aarch64OKOct 29 2024

Exports:supercells

Dependencies:classclassIntcodetoolscpp11DBIdigeste1071futurefuture.applyglobalsKernSmoothlistenvmagrittrMASSparallellyphilentropypoormanproxyRcpps2sfterraunitswk