Spatial Analysis on Network

Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) ; Okabe et al (2012, ISBN:978-0470770818);Baddeley el al (2015, ISBN:9781482210200).


Reference manual

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0.2.1 by Jeremy Gelb, 3 months ago

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

Documentation:   PDF Manual  

GPL-2 license

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

Suggests future, testthat, knitr, kableExtra, rmarkdown, RColorBrewer, classInt, reshape2, dplyr, rlang, rgdal, rgl, tmap, FNN, smoothr, concaveman, covr

Linking to Rcpp, RcppProgress, RcppArmadillo, BH

System requirements: C++17

See at CRAN