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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: 0.4.3
Depends: R (≥ 3.3.0)
Imports: dplyr, entropy, raster, rlang, sf, tibble, tidyr
Suggests: testthat, covr, knitr, rmarkdown, methods
Enhances: stars, terra
Published: 2022-08-17
DOI: 10.32614/CRAN.package.sabre
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://jakubnowosad.com/sabre/
NeedsCompilation: no
Citation: sabre citation info
Materials: README
CRAN checks: sabre results

Documentation:

Reference manual: sabre.pdf
Vignettes: sabre: Spatial Association Between REgionalizations
sabre: Spatial Association Between REgionalizations - raster data

Downloads:

Package source: sabre_0.4.3.tar.gz
Windows binaries: r-devel: sabre_0.4.3.zip, r-release: sabre_0.4.3.zip, r-oldrel: sabre_0.4.3.zip
macOS binaries: r-release (arm64): sabre_0.4.3.tgz, r-oldrel (arm64): sabre_0.4.3.tgz, r-release (x86_64): sabre_0.4.3.tgz, r-oldrel (x86_64): sabre_0.4.3.tgz
Old sources: sabre archive

Reverse dependencies:

Reverse suggests: metabinR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sabre to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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