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:

2 exports 1.10 score 13 dependencies 4 scripts 179 downloads

Last updated 13 days agofrom:292917c2da. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:mean_centermedian_center

Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk

Typical Usage

Rendered fromtypical_usage.Rmdusingknitr::rmarkdownon Sep 01 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Mean Centermean_center
Median Centermedian_center