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centr: Weighted and Unweighted Spatial Centers

Generate mean and median weighted or unweighted spatial centers. Functions are analogous to their identically named counterparts within 'ArcGIS Pro'. Median center methodology based off of Kuhn and Kuenne (1962) <doi:10.1111/j.1467-9787.1962.tb00902.x>.

Version: 0.2.0
Imports: sf
Suggests: data.table, knitr, rmarkdown, testthat (≥ 3.0.0), tibble, tidycensus
Published: 2024-09-01
DOI: 10.32614/CRAN.package.centr
Author: Ryan Zomorrodi ORCID iD [aut, cre, cph]
Maintainer: Ryan Zomorrodi <rzomor2 at uic.edu>
BugReports: https://github.com/ryanzomorrodi/centR/issues
License: MIT + file LICENSE
URL: https://ryanzomorrodi.github.io/centr/, https://github.com/ryanzomorrodi/centR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: centr results

Documentation:

Reference manual: centr.pdf
Vignettes: Typical Usage (source, R code)

Downloads:

Package source: centr_0.2.0.tar.gz
Windows binaries: r-devel: centr_0.2.0.zip, r-release: centr_0.2.0.zip, r-oldrel: centr_0.2.0.zip
macOS binaries: r-release (arm64): centr_0.2.0.tgz, r-oldrel (arm64): centr_0.2.0.tgz, r-release (x86_64): centr_0.2.0.tgz, r-oldrel (x86_64): centr_0.2.0.tgz
Old sources: centr archive

Linking:

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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.