Package: centr 0.2.0

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_0.2.0.tar.gz
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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'))

Peer review:

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

On CRAN:

4.88 score 3 stars 7 scripts 234 downloads 2 exports 13 dependencies

Last updated 3 months agofrom:292917c2da. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:mean_centermedian_center

Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk

Typical Usage

Rendered fromtypical_usage.Rmdusingknitr::rmarkdownon Oct 31 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Mean Centermean_center
Median Centermedian_center