Package: centr 0.2.2.9000

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>.

Authors:Ryan Zomorrodi [aut, cre, cph]

centr_0.2.2.9000.tar.gz
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centr_0.2.2.9000.tgz(r-4.5-any)centr_0.2.2.9000.tgz(r-4.4-any)centr_0.2.2.9000.tgz(r-4.3-any)
centr_0.2.2.9000.tar.gz(r-4.5-noble)centr_0.2.2.9000.tar.gz(r-4.4-noble)
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centr.pdf |centr.html
centr/json (API)
NEWS

# Install 'centr' in R:
install.packages('centr', repos = c('https://ryanzomorrodi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ryanzomorrodi/centr/issues

Pkgdown site:https://ryanzomorrodi.github.io

On CRAN:

5.26 score 4 stars 7 scripts 268 downloads 2 exports 29 dependencies

Last updated 12 days agofrom:ce46e01441. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 07 2025
R-4.5-winOKFeb 07 2025
R-4.5-macOKFeb 07 2025
R-4.5-linuxOKFeb 07 2025
R-4.4-winOKFeb 07 2025
R-4.4-macOKFeb 07 2025
R-4.3-winOKFeb 07 2025
R-4.3-macOKFeb 07 2025

Exports:mean_centermedian_center

Dependencies:chkclassclassIntcliDBIdplyre1071fansigenericsglueKernSmoothlifecyclemagrittrMASSpillarpkgconfigproxyR6Rcpprlangs2sftibbletidyselectunitsutf8vctrswithrwk

Typical Usage

Rendered fromtypical_usage.Rmdusingknitr::rmarkdownon Feb 07 2025.

Last update: 2024-08-31
Started: 2024-08-26

Readme and manuals

Help Manual

Help pageTopics
Mean Centermean_center
Median Centermedian_center