CRAN/E | spNetwork

spNetwork

Spatial Analysis on Network

Installation

About

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) doi:10.1080/13658810802475491; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).

Citation spNetwork citation info
jeremygelb.github.io/spNetwork/
System requirements C++17
Bug report File report

Key Metrics

Version 0.4.4
R ≥ 3.6
Published 2024-05-20 145 days ago
Needs compilation? yes
License GPL-2
CRAN checks spNetwork results
Language en-CA

Downloads

Yesterday 29 0%
Last 7 days 66 -42%
Last 30 days 381 -39%
Last 90 days 1.639 +1%
Last 365 days 6.177 +13%

Maintainer

Maintainer

Jeremy Gelb

Authors

Jeremy Gelb

aut / cre

Philippe Apparicio

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Calculating isochrones
Network k Functions
Network Kernel Density Estimate
Building graphs
Spatial Weight Matrices
Temporal Network Kernel Density Estimate

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

spNetwork archive

Depends

R ≥ 3.6

Imports

spdep ≥ 1.1.2
igraph ≥ 1.2.6
cubature ≥ 2.0.4.1
future.apply ≥ 1.4.0
methods ≥ 1.7.1
ggplot2 ≥3.3.0
progressr ≥ 0.4.0
data.table ≥ 1.12.8
Rcpp ≥1.0.4.6
Rdpack ≥ 2.1.1
dbscan ≥ 1.1-8
sf ≥ 1.0-3
abind ≥ 1.4-5
sfheaders ≥ 0.4.4

Suggests

future ≥ 1.16.0
testthat ≥ 3.0.0
kableExtra ≥1.1.0
RColorBrewer ≥ 1.1-2
classInt ≥ 0.4-3
reshape2 ≥ 1.4.3
rlang ≥ 0.4.6
rgl ≥ 0.107.14
tmap ≥3.3-1
smoothr ≥ 0.2.2
concaveman ≥ 1.1.0
covr ≥3.5.1
knitr
rmarkdown

LinkingTo

Rcpp
RcppProgress
RcppArmadillo
BH