Package: supercells
Title: Superpixels of Spatial Data
Version: 0.8.2
Authors@R: c(
    person(given = "Jakub", family = "Nowosad", 
    role = c("aut", "cre"),
    email = "nowosad.jakub@gmail.com", 
    comment = c(ORCID = "0000-0002-1057-3721")),
    person("Pascal", "Mettes", 
             role = "ctb", 
             comment = "Author of the initial C++ implementation of the SLIC Superpixel algorithm for image data"),
    person("Charles", "Jekel", 
             role = "ctb", 
             comment = "Author of underlying C++ code for dtw"))
Description: 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. 
License: GPL (>= 3)
Encoding: UTF-8
Imports: sf, terra (>= 1.4-21), philentropy (>= 0.6.0), future.apply
RoxygenNote: 7.1.2
LinkingTo: cpp11
SystemRequirements: C++11
URL: https://jakubnowosad.com/supercells/
BugReports: https://github.com/Nowosad/supercells/issues
Suggests: knitr, covr, testthat (>= 3.0.0), rmarkdown, stars
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2022-03-05 08:40:05 UTC; jn
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>),
  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)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Repository: CRAN
Date/Publication: 2022-03-08 13:10:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-18 02:42:02 UTC; windows
Archs: i386, x64
