CRAN/E | supercells

supercells

Superpixels of Spatial Data

Installation

About

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.

Citation supercells citation info
jakubnowosad.com/supercells/
Bug report File report

Key Metrics

Version 1.0.0
Published 2024-02-11 81 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks supercells results

Downloads

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Maintainer

Maintainer

Jakub Nowosad

nowosad.jakub@gmail.com

Authors

Jakub Nowosad

aut / cre

Pascal Mettes

ctb

(Author of the initial C++ implementation of the SLIC Superpixel algorithm for image data)

Charles Jekel

ctb

(Author of underlying C++ code for dtw)

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

supercells archive

Imports

sf
terra ≥ 1.4-21
philentropy ≥ 0.6.0
future.apply

Suggests

knitr
covr
testthat ≥ 3.0.0
rmarkdown
stars

LinkingTo

cpp11

Reverse Suggests

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