sabre: Spatial Association Between Regionalizations

Calculates a degree of spatial association between regionalizations or categorical maps using the information-theoretical V-measure (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>). It also offers an R implementation of the MapCurve method (Hargrove et al. (2006) <doi:10.1007/s10109-006-0025-x>).

Version: 0.4.0
Depends: R (≥ 3.3.0)
Imports: dplyr, entropy, raster, rlang, sf, tibble, tidyr
Suggests: testthat, covr, knitr, rmarkdown, methods
Enhances: stars, terra
Published: 2021-06-03
Author: Jakub Nowosad ORCID iD [aut, cre], Tomasz Stepinski [aut], Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub at gmail.com>
BugReports: https://github.com/Nowosad/sabre/issues
License: MIT + file LICENSE
URL: https://nowosad.github.io/sabre/
NeedsCompilation: no
Citation: sabre citation info
Materials: README
CRAN checks: sabre results

Documentation:

Reference manual: sabre.pdf
Vignettes: sabre: Spatial Association Between REgionalizations

Downloads:

Package source: sabre_0.4.0.tar.gz
Windows binaries: r-devel: sabre_0.4.0.zip, r-release: sabre_0.4.0.zip, r-oldrel: sabre_0.4.0.zip
macOS binaries: r-release (arm64): sabre_0.4.0.tgz, r-release (x86_64): sabre_0.4.0.tgz, r-oldrel: sabre_0.4.0.tgz
Old sources: sabre archive

Linking:

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