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: | 0.3.2 |
Depends: | R (≥ 3.3.0) |
Imports: | dplyr, entropy, raster, rlang, sf, tibble, tidyr |
Suggests: | testthat, covr, knitr, rmarkdown |
Published: | 2019-10-17 |
Author: | Jakub Nowosad |
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 |
Reference manual: | sabre.pdf |
Vignettes: |
sabre: Spatial Association Between REgionalizations |
Package source: | sabre_0.3.2.tar.gz |
Windows binaries: | r-devel: sabre_0.3.2.zip, r-release: sabre_0.3.2.zip, r-oldrel: sabre_0.3.2.zip |
macOS binaries: | r-release: sabre_0.3.2.tgz, r-oldrel: sabre_0.3.2.tgz |
Old sources: | sabre archive |
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