spnaf

Spatial Network Autocorrelation for Flow Data

Identify statistically significant flow clusters using the local spatial network autocorrelation statistic G_ij* proposed by 'Berglund' and 'Karlström' (1999) . The metric, an extended statistic of 'Getis/Ord' G ('Getis' and 'Ord' 1992) , detects a group of flows having similar traits in terms of directionality. You provide OD data and the associated polygon to get results with several parameters, some of which are defined by spdep package.

spnaf

SPatial Network Autocorrelation for Flow data

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("spnaf")

1.1.0 by Youngbin Lee, 2 years ago

Browse source code at https://github.com/cran/spnaf

Authors: Youngbin Lee [aut, cre] , Hui Jeong Ha [aut] , Sohyun Park [aut] , Kyusik Kim [aut] , Jinhyung Lee [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports dplyr, magrittr, sf, spdep, tidyr, rlang, deldir

Suggests knitr, rmarkdown, tmap

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug