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spnaf  

Spatial Network Autocorrelation for Flow Data
View on CRAN: Click here


Download and install spnaf package within the R console
Install from CRAN:
install.packages("spnaf")

Install from Github:
library("remotes")
install_github("cran/spnaf")

Install by package version:
library("remotes")
install_version("spnaf", "1.1.0")



Attach the package and use:
library("spnaf")
Maintained by
Youngbin Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-23
Latest Update: 2024-07-28
Description:
Identify statistically significant flow clusters using the local spatial network autocorrelation statistic G_ij* proposed by 'Berglund' and 'Karlström' (1999) <doi:10.1007/s101090050013>. The metric, an extended statistic of 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>, 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.
How to cite:
Youngbin Lee (2022). spnaf: Spatial Network Autocorrelation for Flow Data. R package version 1.1.0, https://cran.r-project.org/web/packages/spnaf. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:08), 0.1.0 (2022-03-23 10:10), 0.2.0 (2022-08-07 19:20), 0.2.1 (2022-08-25 10:20), 0.3.1 (2024-03-02 23:10), 1.0.0 (2024-06-12 15:30)
Other packages that cited spnaf R package
View spnaf citation profile
Other R packages that spnaf depends, imports, suggests or enhances
Complete documentation for spnaf
Functions, R codes and Examples using the spnaf R package
Some associated functions: CA . CA_polygon . Gij.polygon . 
Some associated R codes: Boot.R . CA.R . CA_polygon.R . Gij.polygon.R . Gstat.R . Resultlines.R . SpatialWeight.R .  Full spnaf package functions and examples
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