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).


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install.packages("spNetwork")

0.1.1 by Jeremy Gelb, 8 months ago


https://github.com/JeremyGelb/spNetwork


Report a bug at https://github.com/JeremyGelb/spNetwork/issues


Browse source code at https://github.com/cran/spNetwork


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