spNetwork: 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) <doi:10.1080/13658810802475491>;
Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).
Version:
0.4.4.7
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),
cppRouting (≥ 3.1)
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),
tibble (≥ 3.2.1),
concaveman (≥
1.1.0),
covr (≥ 3.5.1),
knitr,
rmarkdown
Published:
2025年10月05日
Maintainer:
Jeremy Gelb <jeremy.gelb at ucs.inrs.ca>
NeedsCompilation:
yes
SystemRequirements:
C++17
Language:
en-CA
Documentation:
Downloads:
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