Package: regional 0.5.0

regional: Intra- and Inter-Regional Similarity

Calculates intra-regional and inter-regional similarities based on user-provided spatial vector objects (regions) and spatial raster objects (cells with values). Implemented metrics include inhomogeneity, isolation (Haralick and Shapiro (1985) <doi:10.1016/S0734-189X(85)90153-7>, Jasiewicz et al. (2018) <doi:10.1016/j.cageo.2018.06.003>), and distinction (Nowosad (2021) <doi:10.1080/13658816.2021.1893324>).

Authors:Jakub Nowosad [aut, cre]

regional_0.5.0.tar.gz
regional_0.5.0.zip(r-4.7)regional_0.5.0.zip(r-4.6)regional_0.5.0.zip(r-4.5)
regional_0.5.0.tgz(r-4.6-any)regional_0.5.0.tgz(r-4.5-any)
regional_0.5.0.tar.gz(r-4.7-any)regional_0.5.0.tar.gz(r-4.6-any)
regional_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
regional/json (API)

# Install 'regional' in R:

install.packages('regional', repos = c('https://nowosad.r-universe.dev', 'https://cloud.r-project.org'))

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

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

On CRAN:

rspatial

3.81 score 13 stars 9 scripts 183 downloads 3 exports 6 dependencies

Last updated from:52250b92fa. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	152
source / vignettes	OK	209
linux-release-x86_64	OK	134
macos-release-arm64	OK	93
macos-oldrel-arm64	OK	119
windows-devel	OK	727
windows-release	OK	111
windows-oldrel	OK	471
wasm-release	OK	120