Spatial Analysis on Network

Perform spatial analysis on network. Allow to calculate Network Kernel Density Estimate, and to build spatial matrices ('listw' objects like in 'spdep' package) to conduct any kind of traditional spatial analysis with spatial weights based on reticular distances. K functions on network are also available but still experimental. References: Okabe et al (2019) ; Okabe et al (2012, ISBN:978-0470770818);Baddeley el al (2015, ISBN:9781482210200).


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.1 by Jeremy Gelb, 8 months ago

Report a bug at

Browse source code at

Authors: Jeremy Gelb [aut, cre] , Philippe Apparicio [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports spdep, maptools, rgeos, sp, sf, raster, igraph, cubature, future.apply, methods, ggplot2, progressr, data.table, SearchTrees, Rcpp

Suggests future, testthat, knitr, kableExtra, rmarkdown, RColorBrewer, classInt, reshape2, dplyr, rlang, rgdal, plot3D

Linking to Rcpp, RcppProgress, RcppArmadillo

System requirements: C++11

See at CRAN