[aut, cre],
Tomasz Stepinski [aut],
Space Informatics Lab [cph]Calculates a degree of spatial association between regionalizations or categorical maps using the information-theoretical V-measure (Nowosad and Stepinski (2018) <doi:10.17605/OSF.IO/RCJH7>). It also offers an R implementation of the MapCurve method (Hargrove et al. (2006) <doi:10.1007/s10109-006-0025-x>).
| Version: | 0.2.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | sf, entropy, tidyr, dplyr, rlang, tibble |
| Suggests: | testthat, covr, knitr, rmarkdown |
| Published: | 2018-04-23 |
| Author: | Jakub Nowosad [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://github.com/Nowosad/sabre |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | sabre results |
| Reference manual: | sabre.pdf |
| Vignettes: |
sabre: Spatial Association Between REgionalizations |
| Package source: | sabre_0.2.0.tar.gz |
| Windows binaries: | r-devel: sabre_0.2.0.zip, r-release: sabre_0.2.0.zip, r-oldrel: sabre_0.2.0.zip |
| OS X binaries: | r-release: sabre_0.2.0.tgz, r-oldrel: sabre_0.2.0.tgz |
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