Package: spnaf 1.1.0

Youngbin Lee

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.

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

spnaf_1.1.0.tar.gz
spnaf_1.1.0.tar.gz(r-4.5-noble)spnaf_1.1.0.tar.gz(r-4.4-noble)
spnaf_1.1.0.tgz(r-4.4-emscripten)spnaf_1.1.0.tgz(r-4.3-emscripten)
spnaf.pdf |spnaf.html✨
spnaf/json (API)

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2 exports 0.23 score 39 dependencies 2 scripts 307 downloads

Last updated 2 months agofrom:5aa246f65d. Checks:OK: 2. Indexed: yes.

Exports:Gij.flowNetworknb

Dependencies:bootclassclassIntclicpp11DBIdeldirdplyre1071fansigenericsglueKernSmoothlatticelifecyclemagrittrMASSpillarpkgconfigproxypurrrR6Rcpprlangs2sfspspDataspdepstringistringrtibbletidyrtidyselectunitsutf8vctrswithrwk