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) <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.

Package details

AuthorYoungbin Lee [aut, cre] (<https://orcid.org/0000-0003-3466-6495>), Hui Jeong Ha [aut] (<https://orcid.org/0000-0002-5229-4528>), Sohyun Park [aut] (<https://orcid.org/0000-0002-1231-5662>), Kyusik Kim [aut] (<https://orcid.org/0000-0003-3753-3196>), Jinhyung Lee [aut] (<https://orcid.org/0000-0003-1859-3441>)
MaintainerYoungbin Lee <youngbin@snu.ac.kr>
LicenseMIT + file LICENSE
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("spnaf")

Try the spnaf package in your browser

Any scripts or data that you put into this service are public.

spnaf documentation built on June 22, 2024, 9:29 a.m.