Package: supercells 1.9.4

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]

supercells_1.9.4.tar.gz
supercells_1.9.4.zip(r-4.7)supercells_1.9.4.zip(r-4.6)supercells_1.9.4.zip(r-4.5)
supercells_1.9.4.tgz(r-4.6-x86_64)supercells_1.9.4.tgz(r-4.6-arm64)supercells_1.9.4.tgz(r-4.5-x86_64)supercells_1.9.4.tgz(r-4.5-arm64)
supercells_1.9.4.tar.gz(r-4.7-arm64)supercells_1.9.4.tar.gz(r-4.7-x86_64)supercells_1.9.4.tar.gz(r-4.6-arm64)supercells_1.9.4.tar.gz(r-4.6-x86_64)
supercells_1.9.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
supercells/json (API)

# 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/docs site:https://jakubnowosad.com

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

rspatial spatial cpp

7.07 score 74 stars 106 scripts 475 downloads 13 exports 17 dependencies

Last updated from:5001acbc76. Checks:9 OK, 4 NOTE. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	202
linux-devel-x86_64	OK	214
source / vignettes	OK	236
linux-release-arm64	OK	208
linux-release-x86_64	OK	179
macos-release-arm64	NOTE	177
macos-release-x86_64	NOTE	194
macos-oldrel-arm64	NOTE	127
macos-oldrel-x86_64	NOTE	225
windows-devel	OK	133
windows-release	OK	135
windows-oldrel	OK	109
wasm-release	OK	168

Exports:sc_metrics_global sc_metrics_pixels sc_metrics_supercells sc_slic sc_slic_convergence sc_slic_get_params sc_slic_points sc_slic_raster sc_slic_set_params sc_tune_compactness supercells use_adaptive use_meters

Dependencies:class classInt cpp11 DBI e1071 KernSmooth MASS philentropy poorman proxy Rcpp RcppParallel s2 sf terra units wk

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Global supercells metrics	sc_metrics_global
Pixel-level supercells metrics	sc_metrics_pixels
Supercell-level metrics	sc_metrics_supercells
Create supercells	sc_slic
SLIC convergence diagnostics	sc_slic_convergence
Get stored 'sc_slic()' parameters	sc_slic_get_params
Create supercells as points	sc_slic_points
Create supercells as a raster	sc_slic_raster
Set stored 'sc_slic()' parameters	sc_slic_set_params
Estimate a compactness value	sc_tune_compactness
Creates supercells	supercells
Use adaptive compactness mode	use_adaptive
Mark step values as meters	use_meters