Package: centr 0.2.2

Ryan Zomorrodi

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.tar.gz
centr_0.2.2.tar.gz(r-4.5-noble)centr_0.2.2.tar.gz(r-4.4-noble)
centr_0.2.2.tgz(r-4.4-emscripten)centr_0.2.2.tgz(r-4.3-emscripten)
centr.pdf |centr.html✨
centr/json (API)
NEWS

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

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

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

On CRAN:

Conda:

3.30 score 363 downloads 2 exports 29 dependencies

Last updated 1 months agofrom:f8bb54de2c. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-linuxOKMar 09 2025

Exports:mean_centermedian_center

Dependencies:chkclassclassIntcliDBIdplyre1071fansigenericsglueKernSmoothlifecyclemagrittrMASSpillarpkgconfigproxyR6Rcpprlangs2sftibbletidyselectunitsutf8vctrswithrwk

Typical Usage

Rendered fromtypical_usage.Rmdusingknitr::rmarkdownon Mar 09 2025.

Last update: 2024-09-02
Started: 2024-09-02

Readme and manuals

Help Manual

Help pageTopics
Mean Centermean_center
Median Centermedian_center