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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.
| Version: |
0.3.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, magrittr, sf, spdep, tidyr, rlang |
| Suggests: |
knitr, rmarkdown, tmap |
| Published: |
2024-03-02 |
| Author: |
Youngbin Lee 
[aut, cre],
Hui Jeong Ha
[aut],
Sohyun Park [aut],
Kyusik Kim [aut],
Jinhyung Lee
[aut] |
| Maintainer: |
Youngbin Lee <youngbin at snu.ac.kr> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
spnaf results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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